plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | SynCrystal/SynCrystal-master | equalize_first_order_scattering.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/ISCV/equalize_first_order_scattering.m | 2,607 | utf_8 | efd67d75f10d909d78490358e07bbf59 | function [out,l1norms,l1orig,l1eq]=equalize_first_order_scattering(f,g,psi,phi,lp)
%this function equalizes the process g such that
%it has the same first order scattering coefficients as f
J=size(psi,2);
L=size(psi{end},2);
options.null=1;
% calculate dual wavelets
[dpsi,dphi]=dualwavelets(psi,phi,lp{1});
... |
github | SynCrystal/SynCrystal-master | legacy_reshape_filters.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/ISCV/legacy_reshape_filters.m | 616 | utf_8 | 376ac4664713be80dfaf0d07ae89f0d0 | function [psi,phi,lp]=legacy_reshape_filters(filters,sizein)
J=max(filters.psi.meta.j)+1;
L=max(filters.psi.meta.theta);
r=1;
for j=1:J
for l=1:L
tmp = filters.psi.filter{r}.coefft{1};
tmp = fftshift(ifft2(tmp));
tmp = fftshift(cropc(tmp,sizein));
psi{j}{l} = fft2(tmp);
r=r+1;
end
end
tmp=filters.phi.filter.coefft{1}... |
github | SynCrystal/SynCrystal-master | recover_meta.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/ISCV/recover_meta.m | 690 | utf_8 | 1a8f6e884ed17e6bf1ebfe71edd0bb93 | function meta=recover_meta(in, dirac)
%meta.order
%meta.scale
%meta.orientation
%meta.dirac_norm
%meta.ave
J=in{1}.meta.j;
L=max(in{2}.meta.theta);
meta.order(1)=1;
meta.scale(1)=-1;
meta.orientation(1)=0;
meta.dirac_norm(1)=norm(dirac{1}.signal{1}(:));
meta.ave(1)=mean(in{1}.signal{1}(:));
r=2;
for m=2:size(in,2)
f... |
github | SynCrystal/SynCrystal-master | scat_display.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/ISCV/scat_display.m | 9,879 | utf_8 | af46a9adb60c6c0a47291a5da39206bc | function [imout,orderout,cimout,meta,thetaout]=scat_display(in,dirac,options,scatt)
%this function constructs the scattering logpolar display, presented
%in the paper 'Invariant Scattering Convolution Networks'.
%scatt=array of scattering coefficients to be displayed
%meta=additional information produced by the scatter... |
github | SynCrystal/SynCrystal-master | gtzan_src.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/DSS/gtzan_src.m | 966 | utf_8 | 8219fe8a20b267728d0f82b000466f41 | % GTZAN_SRC Creates a source for the GTZAN dataset
%
% Usage
% src = GTZAN_SRC(directory, N)
%
% Input
% directory (char): The directory containing the GTZAN dataset.
% N (int): The size to which the audio files are to be truncated (default
% 5*2^17).
%
% Output
% src (struct): The GTZAN source.
%
% ... |
github | SynCrystal/SynCrystal-master | phone_src.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/DSS/phone_src.m | 5,214 | utf_8 | af522a97115277f42ee3cc8e960f0544 | % PHONE_SRC Creates a source for the phones in the TIMIT dataset
%
% Usage
% src = PHONE_SRC(directory)
%
% Input
% directory (char): The directory containing the TIMIT dataset.
%
% Output
% src (struct): The TIMIT phone source.
%
% Description
% The function searches through the directory structure, indexi... |
github | SynCrystal/SynCrystal-master | phone_partition.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/DSS/phone_partition.m | 1,241 | utf_8 | 38f55f703e08412238f07aabafebd7ef | % PHONE_PARTITION Specifies training, testing and development sets for TIMIT
%
% Usage
% [train_set, test_set, dev_set] = PHONE_PARTITION(src)
%
% Input
% src (struct): The TIMIT phone source, as obtained from PHONE_SRC.
%
% Output
% train_set (int): The standard training set (TRAIN).
% test_set (int): The ... |
github | SynCrystal/SynCrystal-master | wavelet_factory_1dave.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/IPASM/wavelet_factory_1dave.m | 2,115 | utf_8 | 8ef1a1710084675c32637132295dca60 | % WAVELET_FACTORY_1D Create wavelet cascade
%
% Usage
% [Wop, filters] = WAVELET_FACTORY_1D(N)
%
% [Wop, filters] = WAVELET_FACTORY_1D(N, filt_opt)
%
% [Wop, filters] = WAVELET_FACTORY_1D(N, filt_opt, scat_opt)
%
% Input
% N (int): The size of the signals to be transformed.
% filt_opt (struct): The filte... |
github | SynCrystal/SynCrystal-master | wavelet_layer_1dave.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/IPASM/wavelet_layer_1dave.m | 2,688 | utf_8 | 5b70d4ebdb7a6cccf0216067c9ac71cf | % WAVELET_LAYER_1D Compute the one-dimensional wavelet transform from
% the modulus wavelet coefficients of the previous layer.
%
% Usages
% [U_phi , U_psi] = wavelet_layer_1d(U, filters)
%
% [U_phi , U_psi] = wavelet_layer_1d(U, filters, scat_opt)
%
% [U_phi , U_psi] = wavelet_layer_1d(U, filters, scat_opt, w... |
github | SynCrystal/SynCrystal-master | stblrnd.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/IPASM/stblrnd.m | 3,976 | utf_8 | 9d0d79b97da6753024c6002400a3f4ca | % source : http://math.bu.edu/people/mveillet/research.html
function r = stblrnd(alpha,beta,gamma,delta,varargin)
%STBLRND alpha-stable random number generator.
% R = STBLRND(ALPHA,BETA,GAMMA,DELTA) draws a sample from the Levy
% alpha-stable distribution with characteristic exponent ALPHA,
% skewness BETA, sc... |
github | SynCrystal/SynCrystal-master | MRWsimu.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/IPASM/MRWsimu.m | 1,338 | utf_8 | e675868b90594bcea7be5cab28bd04fb | % Simulates a log-normal multifractal random walk
% Returns a vector X_n[tau] - X_n[0], ... , X_n[N*tau]-X_n[(N-1) tau]
% where X_n goes to a log-normal MRW with intermittency coefficient lambda^2 and integral scale T when n is large.
% The parameter n is such that n>=16 should yield a good approximation.
% Note th... |
github | SynCrystal/SynCrystal-master | fGnsimu.m | .m | SynCrystal-master/external/scatnet/scatnet/papers/IPASM/fGnsimu.m | 332 | utf_8 | 4eeab1b7caf24f28379236598248ec18 | % Simulates a fractional gaussian noise of size N and Hurst exponent H
% Returns the vector B^H(1) - B^H(0), ..., B^H(size) - B^H(size-1) where B^H is a fractional Brownian motion with Hurst exponent H
function x = fGnsimu(N,H)
correl = .5*((0:N-1).^(2*H) + (2:N+1).^(2*H) - 2*(1:N).^(2*H));
x =gaussprocess([1 c... |
github | SynCrystal/SynCrystal-master | scattergram.m | .m | SynCrystal-master/external/scatnet/scatnet/display/scattergram.m | 1,418 | utf_8 | 08f776f2e5dd5f91d34cdd2fd658656e | % SCATTERGRAM Displays temporal evolution of scattering coefficients
%
% Usage
% img = SCATTERGRAM(X{m+1}, [j_1 j_2 ... j_(m-1)]);
%
% img = SCATTERGRAM(X{m1+1}, [j_1 j_2 ... j_(m1-1)], ...
% X{m2+1}, [j_1 j_2 ... j_(m2-1)]);
%
% Input
% X (struct): Scattering layer. Output S or U from SCA... |
github | SynCrystal/SynCrystal-master | display_littlewood_paley_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/display/display_littlewood_paley_2d.m | 546 | utf_8 | 56fc0a478674772473238a5f13f268ec | % DISPLAY_LITTLEWOOD_PALEY_2D Display Littlewood-Paley sum of a filter bank
%
% Usage
% littlewood = display_littlewood_paley_2d(filters);
%
% Input
% filters (struct): filter bank (see FILTER_BANK)
%
% Description
% The function computes the Littlewood-Paley sum of the filter bank and
% displays it. It al... |
github | SynCrystal/SynCrystal-master | scatter_meta.m | .m | SynCrystal-master/external/scatnet/scatnet/display/scatter_meta.m | 582 | utf_8 | 0e9b71b5c70e8a0ada8a162f2a963b47 | % scatter_meta : Scatter two different meta field of scattering
%
% Usage :
% scatter_meta(S{3}, 'j', 1, 'j', 2) will draw a scatter plot
% where each point corresponds to a scattering path, the x axis
% corresponds to j1, the y axis corresponds to j2
function scatter_meta(meta, field_name_1, id1, field_name_2, id2)
... |
github | SynCrystal/SynCrystal-master | image_scat_layer_order.m | .m | SynCrystal-master/external/scatnet/scatnet/display/image_scat_layer_order.m | 3,153 | utf_8 | 07ccbd760195237c58d4ae777d3a2ca2 | % image_scat_layer_order
function big_img = image_scat_layer_order(S, var_x, var_y, renorm)
margin = 3;
margin_inter = 20;
big_img = [];
% compute the range of each variable
for n_var_x = 1:numel(var_x)
cur_var_name = var_x{n_var_x}.name;
cur_var_index = var_x{n_var_x}.index;
string_var = sprintf... |
github | SynCrystal/SynCrystal-master | display_slice.m | .m | SynCrystal-master/external/scatnet/scatnet/display/display_slice.m | 3,120 | utf_8 | eeef79b4fa67d138a3895a0062ad809b | % DISPLAY_SLICE Display a scattering transform slice
%
% Usage
% [sc1, sc2] = DISPLAY_SLICE(S, t, scale, options)
%
% Input
% S (cell): A scattering transform.
% t (int): The time index for which coefficients are to be displayed.
% scale (int, optional): The j-prefix of the coefficients to be displayed
% ... |
github | SynCrystal/SynCrystal-master | plot_meta_layer.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_meta_layer.m | 815 | utf_8 | e5ac5ef6e0aa8ccd49f53cf8b72a005a | % PLOT_META_LAYER : Plot the meta variables of a layer of scattering
%
% Usage
% PLOT_META_LAYER(meta, m, nb_row, nb_column)
%
% Input
% meta (struct): structure with array of value
% m (numerical): indice of the layer
% nb_row (numerical): number of row for the subplot
% nb_column (numerical): number ... |
github | SynCrystal/SynCrystal-master | image_scat.m | .m | SynCrystal-master/external/scatnet/scatnet/display/image_scat.m | 941 | utf_8 | 1531c3aaa1cdefd1ea5a6ab102ecfb67 | % IMAGE_SCAT return scattering outputs images next to each other
%
% Usage
% IMAGE_SCAT(S, renorm, dsp_legend)
%
% Input
% Scatt (cell): layers of scattering (either U or S)
% renorm (boolean): if 1 renormalize each path by its max. Default
% value is set to 1.
% dsp_legend (boolean): if set to 1, display legend. D... |
github | SynCrystal/SynCrystal-master | display_filter_bank_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/display/display_filter_bank_2d.m | 2,917 | utf_8 | 4d50d7e23dcb2050affacda971493416 | % DISPLAY_FILTER_BANK_2D Display all the fine-resolution filters of the filter
% bank and returns the result to display
%
% Usage
% big_img = DISPLAY_FILTER_BANK_2D(filters, renorm, n)
%
% Input
% filters (cell of struct): filter banke from a wavelet factory (for
% instance).
% r (bool): renormalize the f... |
github | SynCrystal/SynCrystal-master | plot_meta.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_meta.m | 386 | utf_8 | e0f7fd9ed3c2c239496423e2e0bc3b93 | % PLOT_META plot all the meta of all orders of the scattering
%
% Usage
% plot_meta(S)
%
% Input
% S (cell): the output of scat
function plot_meta(S)
% compute number of subplot
M = numel(S);
nb_row = 0;
for m = 1:M
fn = fieldnames(S{m}.meta);
nb_row = max(nb_row, numel(fn));
end
nb_column = M;
for m ... |
github | SynCrystal/SynCrystal-master | display_with_layer_order.m | .m | SynCrystal-master/external/scatnet/scatnet/display/display_with_layer_order.m | 3,334 | utf_8 | 06272bead0d1706760946c8de5ddc9f7 | % DISPLAY_WITH_LAYER_ORDER displays scattering outputs with a structured
% visualization.
%
% Usage
% DISPLAY_WITH_LAYER_ORDER(S,renorm)
%
% Input
% S (cell): layers of scattering
% renorm (boolean): if 1 renormalize each path by its max. Default
% value is set to 1.
%
% Description
% Display the scattering coeffi... |
github | SynCrystal/SynCrystal-master | plot_lognorm_scat2_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_lognorm_scat2_1d.m | 1,463 | utf_8 | 8224aa3f7756ee9a9410de74c21c122a | % plot_lognorm_scat2_1d: Plots the log normalized 2nd order scattering
% coefficients for 1d signals.
% Usage
% plot_lognorm_scat2_1d(S)
% Input
% S: The log normalized scattering coefficients.
% Output
% N/A
% Description
% Plots the second order log normalized scattering coefficients as a
% function of j... |
github | SynCrystal/SynCrystal-master | scattergram_layer.m | .m | SynCrystal-master/external/scatnet/scatnet/display/scattergram_layer.m | 977 | utf_8 | e9fdb5e8f72d1791197ba8ccb52e62ac | %SCATTERGRAM_LAYER Formats a one-dimensional layer as an image
% Usages
% img = scattergram_layer(X,[])
%
% img = scattergram_layer(X,j)
%
% Input
% X (struct): a scattering representation layer
% j (integer array): a vector of scale indexes
%
% Output
% img (numeric): a two-dimensional array of scatterin... |
github | SynCrystal/SynCrystal-master | plot_littlewood_paley_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_littlewood_paley_1d.m | 1,284 | utf_8 | 76f8d51c8f8cd39b1fc99c76952dcfdc | % PLOT_LITTLEWOOD_PALEY_1D Plot Littlewood-Paley sum of a filter bank
%
% Usage
% littlewood = plot_littlewood_paley_1d(filters);
%
% Input
% filters (struct): filter bank (see FILTER_BANK)
%
% Description
% This function computes, at every frequency, the Littlewood-Paley sum
% of the filter bank, i.e. the ... |
github | SynCrystal/SynCrystal-master | plot_diracnorm_scat.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_diracnorm_scat.m | 813 | utf_8 | 72056d7ed622bfff65ecc0844ee4acf3 | % PlotNormScatt(x,Scatt)
% Color plot of a normalized scattering representation
% x gives the horizontal axis
% nScatt is the normalized scattering tranform which is piecewise constant
% The color on each interval depends upon the path length:
% 0 is yellow, 1 is red, 2 is green 3 is blue, 4 is magenta
function plot... |
github | SynCrystal/SynCrystal-master | plot_spect_scat.m | .m | SynCrystal-master/external/scatnet/scatnet/display/plot_spect_scat.m | 930 | utf_8 | e39d776c74e1c45a3120821c26d4207a | % PlotSpectScat(x,nScatt)
% Color plot of the scattering power spectrum
% x gives the horizontal axis
% nScatt is the normalized scattering tranform which is piecewise constant
% The color on each interval depends upon the path length:
% 0 is yellow, 1 is red, 2 is green 3 is blue, 4 is magenta
function plot_spect_sca... |
github | SynCrystal/SynCrystal-master | display_filter_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/display/display_filter_2d.m | 1,135 | utf_8 | d4344bc6a83ac0b7ba1de4aa30c7e412 | % DISPLAY_FILTER_2D Display and return the spatially centered cropped
% version of a filter
%
% Usage
% filt_for_disp = DISPLAY_FILTER_2D(filter, rorim, n)
%
% Input
% filter (struct): a filter from a wavelet factory (for instance).
% rorim (string): 'r' real part, 'i' imaginary part
% n (numeric): size of ... |
github | SynCrystal/SynCrystal-master | image_scat_layer.m | .m | SynCrystal-master/external/scatnet/scatnet/display/image_scat_layer.m | 5,189 | utf_8 | da8b36e3d595caa28d42d0876eeb7240 | % IMAGE_SCAT_LAYER engine function of IMAGE_SCAT
%
% Usage
% big_img = image_scat_layer(Scatt, renorm, dsp_legend)
%
% Input
% Scatt (struct): a layer of scattering (either U or S)
% renorm (boolean): if 1 renormalize each path by its max. Default
% value is set to 1.
% dsp_legend (boolean): if set to 1, display ... |
github | SynCrystal/SynCrystal-master | prepare_database.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/prepare_database.m | 5,690 | utf_8 | 47e834846eab843cbe7ff7a360f6704c | % PREPARE_DATABASE Calculates the features from objects in a source
%
% Usage
% database = PREPARE_DATABASE(src, feature_fun, options)
%
% Input
% src (struct): The source specifying the objects.
% feature_fun (cell): The feature functions applied to each object.
% options (struct): Options for calculating ... |
github | SynCrystal/SynCrystal-master | svm_test.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_test.m | 7,788 | utf_8 | c89ca0db84bd1d4215bd65a82d72484f | % SVM_TEST Calculate labels for an SVM model
%
% Usage
% [labels, votes, feature_labels] = SVM_TEST(db, model, test_set)
%
% Input
% db (struct): The database containing the feature vector.
% model (struct): The affine space model obtained from svm_train.
% test_set (int): The object indices of the testing ... |
github | SynCrystal/SynCrystal-master | classif_recog.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/classif_recog.m | 1,254 | utf_8 | 7484e3f87000989d4c930e466c97668c | % CLASSIF_RECOG Calculates the average recognition rate
%
% Usage
% [rr_mean,recog_rate] = CLASSIF_RECOG(labels,test_set,truth)
%
% Input
% labels (int): The labels attributed to the testing instances.
% test_set (int): The object indices of the testing instances.
% truth: the actual labels of the testing ... |
github | SynCrystal/SynCrystal-master | duration_feature.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/duration_feature.m | 428 | utf_8 | 0dc9f02e57e02036608746d1a01201de | % DURATION_FEATURE Calculate the log-duration of an object
%
% Usage
% duration = DURATION_FEATURE(x, object)
%
% Input
% x (numeric): The file data (not used).
% object (struct): The objects contained in the data.
%
% Output
% duration (numeric): The log-duration of the objects.
%
% See also
% PREPARE_D... |
github | SynCrystal/SynCrystal-master | feature_wrapper.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/feature_wrapper.m | 4,046 | utf_8 | 8e8994e436e0273c1f2616f2d036e5bc | % FEATURE_WRAPPER Wrapper for feature functions
%
% Usage
% feature = FEATURE_WRAPPER(x, objects, feature_fun, options)
%
% Input
% x (numeric): The file data.
% object (struct): The objects contained in the data.
% feature_fun (function handle): The real feature function handle, takes as
% input one ... |
github | SynCrystal/SynCrystal-master | svm_param_search.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_param_search.m | 2,252 | utf_8 | 5d4e6eae14e5cc97920ec42cfc73e9d2 | % SVM_PARAM_SEARCH Parameter search for SVM classifier
%
% Usage
% [err, C, gamma] = SVM_PARAM_SEARCH(db, train_set, valid_set, options)
%
% Input
% db (struct): The database containing the feature vector.
% train_set (int): The object indices of the training instances.
% valid_set (int): The object indices... |
github | SynCrystal/SynCrystal-master | affine_train.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/affine_train.m | 2,039 | utf_8 | bf8418f5670fb1d84fbbf91b596c821f | % AFFINE_TRAIN Train an affine space classifier
%
% Usage
% model = AFFINE_TRAIN(db, train_set, options)
%
% Input
% db (struct): The database containing the feature vector.
% train_set (int): The object indices of the training instances.
% options (struct): The training options. options.dim specifies the d... |
github | SynCrystal/SynCrystal-master | svm_adaptive_param_search.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_adaptive_param_search.m | 1,875 | utf_8 | 553e3f0c0ef90a3c7efbcc975d9c7c14 | % SVM_ADAPTIVE_PARAM_SEARCH Adaptive parameter search for SVM classifier
%
% Usage
% [err, C, gamma] = SVM_ADAPTIVE_PARAM_SEARCH(db, train_set, valid_set, ...
% options)
%
% Input
% db (struct): The database containing the feature vector.
% train_set (int): The object indices of the training instances.
%... |
github | SynCrystal/SynCrystal-master | create_partition.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/create_partition.m | 1,727 | utf_8 | cef4cdfe0f55696f4ae46199af666ab7 | % CREATE_PARTITION Creates a train/test partition
%
% Usage
% [train_set, test_set] = CREATE_PARTITION(src, ratio, shuffle)
%
% Input
% src (struct): The source structure describing the objects.
% ratio (numeric): The proportion of all instances selected for training
% (default 0.8).
% shuffle (boole... |
github | SynCrystal/SynCrystal-master | next_fold.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/next_fold.m | 1,677 | utf_8 | 3aeb4a45050283f125b19c164e0ab792 | % NEXT_FOLD Calculates the next fold in an N-fold cross validation
%
% Usage
% [train_set, test_set] = NEXT_FOLD(train_set, test_set, obj_class)
%
% Input
% train_set (int): The training set of the current fold.
% test_set (int): The testing set of the current fold.
% obj_class (int): The classes of the obj... |
github | SynCrystal/SynCrystal-master | svm_extract_w.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_extract_w.m | 1,144 | utf_8 | 059380fcfdcfb6d03f97c59b891c9fcb | % SVM_EXTRACT_W Calculates the discriminant vector for a linear SVM
%
% Usage
% [w,rho] = SVM_EXTRACT_W(db, model)
%
% Input
% db (struct): The database from which the model is calculated.
% model (struct): The linear SVM model.
%
% Output
% w (numeric): The discriminant vectors for each pair of classes in ... |
github | SynCrystal/SynCrystal-master | create_src.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/create_src.m | 2,387 | utf_8 | d14e3f9421132a79f68ee867e56370e2 | % CREATE_SRC Create a source of files & objects
%
% Usage
% src = CREATE_SRC(directory, objects_fun)
%
% Input
% directory (char): The directory in which the files are found.
% objects_fun (function handle): Given a filename, objects_fun returns its
% constituent objects and their respective classes.
%
... |
github | SynCrystal/SynCrystal-master | affine_test.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/affine_test.m | 3,001 | utf_8 | 418d4a1ea85b592da08e491803427371 | % AFFINE_TEST Calculate labels for an affine space model
%
% Usage
% [labels, err, feature_err] = AFFINE_TEST(db, model, test_set)
%
% Input
% db (struct): The database containing the feature vector.
% model (struct): The affine space model obtained from affine_train.
% test_set (int): The object indices of... |
github | SynCrystal/SynCrystal-master | fmd_src.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/fmd_src.m | 708 | utf_8 | 1c5e65b4b04a6f02fe1d5c0439d773cd | % FMD_SRC Creates a source for the FMD Texture dataset
%
% Usage
% src = FMD_SRC(directory)
%
% Input
% directory: The directory containing the FMD Texture dataset.
%
% Output
% src: The FMD source.
%
% Note
% The dataset is available at http://people.csail.mit.edu/celiu/CVPR2010/FMD/
function src = fmd_src(... |
github | SynCrystal/SynCrystal-master | classif_err.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/classif_err.m | 694 | utf_8 | 77c092b3fac2e78fa5cbdbc49ecf6268 | % CLASSIF_ERR Calculates the classification error.
%
% Usage
% err = CLASSIF_ERR(labels, test_set, src)
%
% Input
% labels (int): The predicted labels corresponding to the testing in-
% stances.
% test_set (int): The object indices of the testing instances.
% src (struct): The source from which the ob... |
github | SynCrystal/SynCrystal-master | affine_param_search.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/affine_param_search.m | 1,420 | utf_8 | cfa0f7c01b27eccd17f27250a8fb748c | % AFFINE_PARAM_SEARCH Parameter search for affine classifier
%
% Usage
% [err, dim] = AFFINE_PARAM_SEARCH(db, train_set, valid_set, options)
%
% Input
% db (struct): The database containing the feature vector.
% train_set (int): The object indices of the training instances.
% valid_set (int): The object ind... |
github | SynCrystal/SynCrystal-master | svm_calc_kernel.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_calc_kernel.m | 4,267 | utf_8 | 5003e9f20526f8d7d7fa5592803eef76 | % SVM_CALC_KERNEL Precalculate SVM kernel
%
% Usage
% database = SVM_CALC_KERNEL(database, kernel_type, kernel_format, ...
% kernel_set)
%
% Input
% database (struct): The database containing the feature vectors.
% kernel_type (char): The type of kernel: 'linear', or 'gaussian' (default
% 'gaussi... |
github | SynCrystal/SynCrystal-master | svm_train.m | .m | SynCrystal-master/external/scatnet/scatnet/classification/svm_train.m | 7,577 | utf_8 | cfaf8aaa03ff87938f9c326e24edc967 | % SVM_TRAIN Train an SVM classifier
%
% Usage
% model = SVM_TRAIN(db, train_set, options)
%
% Input
% db (struct): The database containing the feature vector.
% train_set (int): The object indices of the training instances.
% options (struct): The training options:
% options.kernel_type (char): The... |
github | SynCrystal/SynCrystal-master | wavelet_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_2d.m | 2,523 | utf_8 | 2f54f71b92dae3e1b956df2419db12a4 | % WAVELET_2D Compute the wavelet transform of a signal x
%
% Usage
% [x_phi, x_psi] = WAVELET_2D(x, filters, options)
%
% Input
% x (numeric): the input signal
% filters (cell): cell containing the filters
% options (structure): options of the wavelet transform
%
% Output
% x_phi (numeric): Low pass part... |
github | SynCrystal/SynCrystal-master | wavelet_factory_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_factory_2d.m | 2,372 | utf_8 | b62bd9b0128be4fd10056cb7bc91e063 | % WAVELET_FACTORY_2D Create wavelet cascade from morlet filter bank
%
% Usage
% [Wop, filters] = WAVELET_FACTORY_2D(size_in, filt_opt, scat_opt)
%
% Input
% size_in (numeric): The size of the signals to be transformed.
% filt_opt (structure): The filter options, same as for
% MORLET_FILTER_BANK_2D or SH... |
github | SynCrystal/SynCrystal-master | wavelet_factory_3d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_factory_3d_pyramid.m | 2,503 | utf_8 | af8de9b297f24ed9f80099fbd6b244c9 | % WAVELET_FACTORY_3D_PYRAMID Build roto-translation wavelet operators
%
% Usage
% [Wop, filters, filters_rot] = WAVELET_FACTORY_3D_PYRAMID(filt_opt, filt_rot_opt, scat_opt)
%
% Input
% filt_opt (struct): the filter options, same as for MORLET_FILTER_BANK_2D_PYRAMID
% filt_rot_opt (struct): the filter options fo... |
github | SynCrystal/SynCrystal-master | wavelet_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_2d_pyramid.m | 3,429 | utf_8 | f4601c4a9599a2742d2c46e395cfa87c | % WAVELET_2D_PYRAMID Compute the scattering transform
%
% Usage
% [x_phi, x_psi] = WAVELET_2D_PYRAMID(x, filters, options)
%
% Input
% x (numeric): the input signal
% filters (struct): a 2d pyramid filter bank, typically obtained with
% MORLET_FILTER_BANK_2D_PYRAMID
% options (struct): containing the foll... |
github | SynCrystal/SynCrystal-master | wavelet_3d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_3d_pyramid.m | 9,812 | utf_8 | 74fdd5e21c4075f8d86553d4d1f79eb6 | % WAVELET_3D_PYRAMID Compute the roto-translation wavelet transfrom
%
% Usage
% [y_Phi, y_Psi, meta_Phi, meta_Psi] = wavelet_3d_pyramid(y, filters, filters_rot, options)
%
% Input
% y (numeric): a 3d matrix whose first two dimension corresponds to spatial
% postion and third dimension corresponds to orientati... |
github | SynCrystal/SynCrystal-master | wavelet_factory_3d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_factory_3d.m | 2,241 | utf_8 | 6a6ae890fb2325391cc5735649aaadb2 | % WAVELET_FACTORY_3D Build roto-translation wavelet operators
%
% Usage
% [Wop, filters, filters_rot] = WAVELET_FACTORY_3D(size_in, filt_opt, filt_rot_opt, scat_opt)
%
% Input
% size_in (2x1 int): the size of the image to be transformed
% filt_opt (struct): the filter options, same as for MORLET_FILTER_BANK_2D ... |
github | SynCrystal/SynCrystal-master | scat.m | .m | SynCrystal-master/external/scatnet/scatnet/core/scat.m | 1,953 | utf_8 | 5fc202364d051a888d9e9345510f6c00 | % SCAT Compute the scattering transform
%
% Usage
% [S, U] = SCAT(x, Wop)
%
% Input
% x (numeric): The input signal.
% Wop (cell of function handles): Linear operators used to generate a new
% layer from the previous one.
%
% Output
% S (cell): The scattering representation of x.
% U (cell): Inte... |
github | SynCrystal/SynCrystal-master | wavelet_layer_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_layer_2d.m | 2,455 | utf_8 | e1f09f9a6354118bdd0b4d9cd51bf141 | % WAVELET_LAYER_2D Compute the wavelet transform of a scattering layer
%
% Usage
% [U_phi, U_psi] = WAVELET_LAYER_2D(U, filters, options)
%
% Input
% U (struct): input scattering layer
% filters (struct): filter bank
% options (struct): same as wavelet_2d
%
% Output
% A (struct): Averaged wavelet coeffi... |
github | SynCrystal/SynCrystal-master | wavelet_layer_3d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_layer_3d_pyramid.m | 4,357 | utf_8 | 79b1db6abf1705a72ef0188ca5a42202 | % WAVELET_LAYER_3D_PYRAMID Compute the roto-translation wavelet transform of a scattering layer
%
% Usage
% [U_Phi, U_Psi] = WAVELET_LAYER_3D_PYRAMID(U, filters, filters_rot, options)
%
% Input
% U (struct): input scattering layer
% filters (struct): 2d filter bank to apply along spatial variable
% filters_rot ... |
github | SynCrystal/SynCrystal-master | modulus_layer.m | .m | SynCrystal-master/external/scatnet/scatnet/core/modulus_layer.m | 456 | utf_8 | b0db99d90e1b6f2ce5caaa70670f7849 | % MODULUS_LAYER Calculate the modulus of coefficients in a layer
%
% Usage
% U = MODULUS_LAYER(W)
%
% Input
% W (struct): A scattering layer, as output by WAVELET_LAYER_*, for exam-
% ple.
%
% Output
% U (struct): The same layer with all coefficients set to their absolute
% values.
%
% See Also
% ... |
github | SynCrystal/SynCrystal-master | scat_freq.m | .m | SynCrystal-master/external/scatnet/scatnet/core/scat_freq.m | 6,169 | utf_8 | d9dd3ece4c70a0c5a6e1d2697cbad9dd | % SCAT_FREQ Computes scattering transform along first frequency
%
% Usage
% [S, U] = scat_freq(X, Wop)
%
% Input
% X (cell): A cell array of scattering layers with, such as the output S
% of the SCAT function.
%
% Output
% S, U (cell): The scattering and wavelet modulus coefficients, respective-
% ... |
github | SynCrystal/SynCrystal-master | wavelet_layer_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_layer_2d_pyramid.m | 3,123 | utf_8 | e270456407de0fcb6e72e41bf549b46d | % WAVELET_LAYER_2D_PYRAMID Compute the wavelet transform of layer
%
% Usage
% [U_phi, U_psi] = wavelet_layer_2d_pyramid(U, filters, options)
%
% Input
% U (struct): a scattering layer
% filters (struct): a 2d filter bank
% options (struct): same as for WAVELET_2D
%
% Output
% U_Phi (struct): low pass convolu... |
github | SynCrystal/SynCrystal-master | wavelet_factory_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_factory_2d_pyramid.m | 1,646 | utf_8 | 51f0b5f66e1cc0e34dd1769166a40958 | % WAVELET_FACTORY_2D_PYRAMID Create 2d wavelet cascade
%
% Usage
% [Wop, filters] = WAVELET_FACTORY_2D_PYRAMID(filt_opt, scat_opt)
%
% Input
% filt_opt (struct): the filter options, same as for MORLET_FILTER_BANK_2D_PYRAMID
% scat_opt (Struct): the scattering and wavelet options, same as WAVELET_2D_PYRAMID
% ... |
github | SynCrystal/SynCrystal-master | wavelet_layer_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_layer_1d.m | 3,196 | utf_8 | b26a9ea30f068a74516fa73369a07ed5 | % WAVELET_LAYER_1D Compute the one-dimensional wavelet transform from
% the modulus wavelet coefficients of the previous layer.
%
% Usages
% [U_phi , U_psi] = wavelet_layer_1d(U, filters)
%
% [U_phi , U_psi] = wavelet_layer_1d(U, filters, scat_opt)
%
% [U_phi , U_psi] = wavelet_layer_1d(U, filters, scat_opt, w... |
github | SynCrystal/SynCrystal-master | wavelet_layer_3d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_layer_3d.m | 2,894 | utf_8 | 50a8ebba2299ffecde0e0312996567cc | % WAVELET_LAYER_3D Compute the roto-translation wavelet transform of a scattering layer
%
% Usage
% [U_Phi, U_Psi] = WAVELET_LAYER_3D(U, filters, filters_rot, options)
%
% Input
% U (struct): input scattering layer
% filters (struct): 2d filter bank to apply along spatial variable
% filters_rot (struct): 1d fil... |
github | SynCrystal/SynCrystal-master | wavelet_factory_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_factory_1d.m | 2,101 | utf_8 | 900a167e30f50ea70f3b83c341b2f7e9 | % WAVELET_FACTORY_1D Create wavelet cascade
%
% Usage
% [Wop, filters] = WAVELET_FACTORY_1D(N)
%
% [Wop, filters] = WAVELET_FACTORY_1D(N, filt_opt)
%
% [Wop, filters] = WAVELET_FACTORY_1D(N, filt_opt, scat_opt)
%
% Input
% N (int): The size of the signals to be transformed.
% filt_opt (struct): The filte... |
github | SynCrystal/SynCrystal-master | inverse_wavelet_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/inverse_wavelet_1d.m | 3,630 | utf_8 | 7465ed503cbf5a15c1abb8475bc58310 | % INVERSE_WAVELET_1D Calculate the inverse wavelet transform
%
% Usage
% x = INVERSE_WAVELET_1D(N0, x_phi, x_psi, meta_phi, meta_psi, ...
% dual_filters, options)
%
% Input
% N0 (numeric): The desired size of the output signal x.
% x_phi (numeric): The lowpass filter output of WAVELET_1D.
% x_psi (ce... |
github | SynCrystal/SynCrystal-master | spec_freq_average.m | .m | SynCrystal-master/external/scatnet/scatnet/core/spec_freq_average.m | 3,397 | utf_8 | 62d5cd00637ff5a8e5b4078907df58fe | % SPEC_FREQ_AVERAGE Calulates the frequency-averaged spectrogram
%
% Usage
% spec = SPEC_FREQ_AVERAGE(x, filters, options)
%
% Input
% x (numeric): The signal to be transformed.
% filters (cell): The set of filters used to calculate the spectrogram
% and the frequency averaging.
% options (struct): Va... |
github | SynCrystal/SynCrystal-master | wavelet_3d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_3d.m | 8,784 | utf_8 | 987c36086ad46e1e39ce7d1a353bb73c | % WAVELET_3D Compute the roto-translation wavelet transform
%
% Usage
% [y_Phi, y_Psi, meta_Phi, meta_Psi] = WAVELET_3D(y, filters, filters_rot, options)
%
% Input
% y (numeric): a 3d matrix whose first two dimension corresponds to spatial
% postion and third dimension corresponds to orientation.
% filters ... |
github | SynCrystal/SynCrystal-master | wavelet_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/core/wavelet_1d.m | 3,019 | utf_8 | 5ca7196483e951008b88d336a18fc7ca | % WAVELET_1D One-dimensional wavelet transform
%
% Usages
% [x_phi, x_psi, meta_phi, meta_psi] = WAVELET_1D(x, filters)
%
% [x_phi, x_psi, meta_phi, meta_psi] = WAVELET_1D(x, filters, options)
%
% Input
% x (numeric): The signal to be transformed.
% filters (struct): The filter bank of the wavelet transform... |
github | SynCrystal/SynCrystal-master | richardson_lucy.m | .m | SynCrystal-master/external/scatnet/scatnet/reconstruction/richardson_lucy.m | 1,790 | utf_8 | d2acdac19dc880ca95aa8f8ba9b16895 | % RICHARDSON_LUCY The Richardson-Lucy deconvolution algorithm
%
% Usage
% y = richardson_lucy(z, filter, options)
%
% Input
% z (numeric): The filtered signal to be deconvolved.
% filter (struct): The filter used to obtain z, in the format of filters
% from FILTER_BANK.
% options (struct, optional): ... |
github | SynCrystal/SynCrystal-master | griffin_lim.m | .m | SynCrystal-master/external/scatnet/scatnet/reconstruction/griffin_lim.m | 2,428 | utf_8 | 51eb134c1c5929ccf610005ef47a8533 | % GRIFFIN_LIM The Griffin & Lim phase retrieval algorithm
%
% Usage
% x = griffin_lim(x_init, x_phi, x_psi_mod, filters, options)
%
% Input
% x_init (numeric): The inital guess for x.
% x_phi (numeric): The lowpass coefficients
% x_psi_mod (cell): The wavelet modulus coefficients.
% filters (struct): The... |
github | SynCrystal/SynCrystal-master | inverse_scat.m | .m | SynCrystal-master/external/scatnet/scatnet/reconstruction/inverse_scat.m | 4,062 | utf_8 | 8253ab26e72c8b7b8bb738736648c278 | % INVERSE_SCAT Reconstruct a signal from its scattering coefficients
%
% Usage
% xt = inverse_scat(S, filters, options, node)
%
% Input
% S (cell): The scattering coefficients output by SCAT.
% filters (cell): The set of filter banks used to calculate S. Can be
% obtained from FILTER_BANK or second outp... |
github | SynCrystal/SynCrystal-master | filter_bank.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/filter_bank.m | 5,289 | utf_8 | 16ec8a31aa80c64edcc0977c4a4f91f6 | % FILTER_BANK Create a cell array of filter banks
%
% Usages
% filters = FILTER_BANK(N)
%
% filters = FILTER_BANK(N, options)
%
% Input
% N (int): The size of the input data.
% options (struct): Filter parameters, see below.
%
% Output
% filters (struct): A cell array of filter banks corresponding to the... |
github | SynCrystal/SynCrystal-master | truncate_filter.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/truncate_filter.m | 2,243 | utf_8 | d3367921c0ab3ff7a90b3c8ba6a3bdec | % TRUNCATE_FILTER Truncates the Fourier transform of a filter
%
% Usage
% filter = TRUNCATE_FILTER(filter_f, threshold, lowpass)
%
% Input
% filter_f (numeric): The Fourier representation of the filter.
%
% Output
% filter (struct): The truncated representation of the filter. See descrip-
% tion for more... |
github | SynCrystal/SynCrystal-master | T_to_J.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/T_to_J.m | 1,369 | utf_8 | 145a66785b23a759db185bba269424c1 | % T_TO_J: Calculates the maximal wavelet scale J from T
%
% Usage
% J = T_to_J(T, filt_opt)
%
% Input
% T: A time interval T.
% filt_opt: A structure containing the parameters of a filter bank.
%
% Output
% J: The maximal wavelet scale J such that, for a filter bank created with
% the parameters in op... |
github | SynCrystal/SynCrystal-master | haar_filter_bank_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/haar_filter_bank_2d_pyramid.m | 1,856 | utf_8 | db9ab520f4b47023170efba0afbef730 | % HAAR_FILTER_BANK_2D_PYRAMID Build a bank of Haar wavelet filters in the
% spatial domain
%
% Usage
% filters = HAAR_FILTER_BANK_2D_PYRAMID(options)
%
% Input
% options (struct): optional
%
% Output
% filters (struct): filters, with the fields
% g (struct): high-pass filter g, with the following fields:... |
github | SynCrystal/SynCrystal-master | morlet_filter_bank_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_filter_bank_2d.m | 4,668 | utf_8 | 987245194ec5c537d4794bebe5eaa8dd | % MORLET_FILTER_BANK_2D Compute a bank of Morlet wavelet filters in
% the Fourier domain.
%
% Usage
% filters = MORLET_FILTER_BANK_2D(size_in, options)
%
% Input
% options (structure): Options of the bank of filters. Optional, with
% fields:
% Q (numeric): number of scale per octave
% J (numeric): ... |
github | SynCrystal/SynCrystal-master | realize_filter.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/realize_filter.m | 1,247 | utf_8 | 0dea12a56ce6301f1b6dd117fc2e65cc | % REALIZE_FILTER Provides a Fourier representation of a filter
%
% Usage
% filter_f = REALIZE_FILTER(filter, N)
%
% Input
% filter (struct): The filter structure, usually from
% filters{m}.psi.filter{k} or filters{m}.phi.filter.
% N (int, optional): The signal size for which the filters should be defin-... |
github | SynCrystal/SynCrystal-master | morlet_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_2d_pyramid.m | 1,686 | utf_8 | 71e428b95ed7ffb3ae43fe51224420b2 | % MORLET_2D_PYRAMID computes the 2-D elliptic Morlet filter given a set of
% parameters in spatial domain
%
% Usage
% gab = MORLET_2D_PYRAMID(N, M, sigma, slant, xi, theta, offset)
%
% Input
% N (numeric): width of the filter
% M (numeric): height of the filter
% sigma (numeric): standard deviation of t... |
github | SynCrystal/SynCrystal-master | filter_freq.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/filter_freq.m | 1,249 | utf_8 | 50ef42e4e63cfcc0e1702afe0b794ec3 | % FILTER_FREQ Calculate center frequencies and bandwidths
%
% Usage
% [psi_xi, psi_bw, phi_bw] = FILTER_FREQ(filt_opt)
%
% Input
% filt_opt (struct): The parameters defining the filter bank.
%
% Output
% psi_xi (numeric): The center frequencies of the wavelet filters.
% psi_bw (numeric): The bandwidths of t... |
github | SynCrystal/SynCrystal-master | selesnick_filter_bank_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/selesnick_filter_bank_1d.m | 2,536 | utf_8 | 186ed746317f69695a8292c7f576f414 | % selesnick_filter_bank_1d: Creates a Selesnick wavelet filter bank.
% Usage
% filters = selesnick_filter_bank_1d(sz, options)
% Input
% sz: The size of the input data.
% options (optional): Filter parameters.
% Output
% filters: The Selesnick wavelet filter bank corresponding to the data
% size sz a... |
github | SynCrystal/SynCrystal-master | littlewood_paley.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/littlewood_paley.m | 1,218 | utf_8 | d1cf6f7c97b41ba20ac44f7554ef04a6 | % LITTLEWOOD_PALEY Calculate Littlewood-Paley sum of a filter bank
%
% Usage
% A = littlewood_paley(filters, N);
%
% Input
% filters (struct): filter bank (see FILTER_BANK)
% N (vector, optional): the signal size at which the sum should be
% calculated
%
% Description
% The function computes the Lit... |
github | SynCrystal/SynCrystal-master | gabor_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/gabor_2d.m | 1,764 | utf_8 | 1d8b13b51fcb015ec98111d67d7a7e94 | % GABOR_2D computes the 2-D elliptic Gabor wavelet given a set of
% parameters
%
% Usage
% gab = GABOR_2D(N, M, sigma0, slant, xi, theta, offset, precision)
%
% Input
% N (numeric): width of the filter
% M (numeric): height of the filter
% sigma0 (numeric): standard deviation of the envelope
% slant (nu... |
github | SynCrystal/SynCrystal-master | dual_filter_bank.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/dual_filter_bank.m | 1,522 | utf_8 | 39173c008f25e299fb235b700e153da0 | % DUAL_FILTER_BANK Calculate the dual filter bank
%
% Usage
% dual_filters = DUAL_FILTER_BANK(filters)
%
% Input
% filters (struct): The original filter bank, output from FILTER_BANK or
% related functions.
%
% Output
% dual_filters (struct): The filter bank consisting of dual filters.
%
% Description
%... |
github | SynCrystal/SynCrystal-master | morlet_filter_bank_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_filter_bank_1d.m | 5,954 | utf_8 | 483ff7d64756d81e9ae01ca54a18eac5 | % MORLET_FILTER_BANK_1D Create a Morlet/Gabor filter bank
%
% Usage
% filters = MORLET_FILTER_BANK_1D(sz, options)
%
% Input
% sz (int): The size of the input data.
% options (struct, optional): Filter parameters, see below.
%
% Output
% filters (struct): The Morlet/Gabor filter bank corresponding to the da... |
github | SynCrystal/SynCrystal-master | gaussian_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/gaussian_2d.m | 1,034 | utf_8 | b1300595dd0e9a89f85ad39a2186dc28 | % GAUSSIAN_2D computes a Gaussian function.
%
% Usage
% gau = GAUSSIAN_2D(N, M, sigma, precision, offset)
%
% Input
% N (numeric): width of the filter matrix
% M (numeric): height of the filter matrix
% sigma (numeric): standard deviation of the Gaussian
% precision (string): 'single' or 'double'
% offset ... |
github | SynCrystal/SynCrystal-master | spline_filter_bank_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/spline_filter_bank_1d.m | 4,187 | utf_8 | a1e3b6ca6e1caca40ef5e0b067fd6589 | % SPLINE_FILTER_BANK_1D Create a spline wavelet filter bank
%
% Usage
% filters = SPLINE_FILTER_BANK_1D(sz, options)
%
% Input
% sz (int): The size of the input data.
% options (struct, optional): Filter parameters, see below.
%
% Output
% filters (struct): The spline wavelet filter bank corresponding to th... |
github | SynCrystal/SynCrystal-master | morlet_freq_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_freq_1d.m | 1,721 | utf_8 | 769093470545b20c0019e6ed5d6a018f | % MORLET_FREQ_1D Compute center frequencies and bandwidths for the 1D Morlet
%
% Usage
% [psi_xi, psi_bw, phi_bw] = MORLET_FREQ_1D(filt_opt)
%
% Input
% filt_opt (struct): The parameters defining the filter bank. See
% MORLET_FILTER_BANK_1D for details.
%
% Output
% psi_xi (numeric): The center frequencies... |
github | SynCrystal/SynCrystal-master | dyadic_freq_1d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/dyadic_freq_1d.m | 936 | utf_8 | 8b44b9ea6b7088d076208551d7746b4e | % DYADIC_FREQ_1D Compute center frequencies and bandwidths for the 1D Dyadic
%
% Usage
% [psi_xi, psi_bw, phi_bw] = DYADIC_FREQ_1D(filt_opt)
%
% Input
% filt_opt (struct): The parameters defining the filter bank. For example,
% see SPLINE_FILTER_BANK_1D for details.
%
% Output
% psi_xi (numeric): The center... |
github | SynCrystal/SynCrystal-master | default_filter_options.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/default_filter_options.m | 1,502 | utf_8 | f0ea616d4c2c556b137f13e28cd90a0b | % DEFAULT_FILTER_OPTIONS Provides default options for filters
%
% Usage
% filt_opt = DEFAULT_FILTER_OPTIONS(filter_type, averaging_size)
%
% Input
% filter_type (char): Either 'image' (for images), 'audio' (for audio
% signals) or 'dyadic' (for other, less oscillatory, 1D signals).
% averaging_size (nume... |
github | SynCrystal/SynCrystal-master | periodize_filter.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/periodize_filter.m | 1,734 | utf_8 | 7a123a3a0f52c2706b32da2b6424d7ca | % PERIODIZE_FILTER Periodizes filter at multiple resolutions
%
% Usage
% filter = PERIODIZE_FILTER(filter_f)
%
% Input
% filter_f (numeric): The Fourier representation of the filter.
%
% Output
% filter (struct): The periodized multi-resolution representation of the
% filter. See description for more de... |
github | SynCrystal/SynCrystal-master | rotation_matrix_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/rotation_matrix_2d.m | 428 | utf_8 | 41f750f5a64564de74e2eb48e71f718e | % ROTATION_MATRIX_2D computes a 2-by-2 rotation matrix for a given angle
%
% Usage
% rotmat = ROTATION_MATRIX_2D(theta)
%
% Input
% theta (numeric): the angle of the rotation
%
% Ouput
% rotmat (numeric): 2-by-2 rotation matrix corresponding to the axis con-
% vention of matlab for image coordinates
f... |
github | SynCrystal/SynCrystal-master | morlet_2d_noDC.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_2d_noDC.m | 1,634 | utf_8 | d7595844ca7c3417c11d4d92469fa268 | % MORLET_2D_NODC computes the 2-D elliptic Morlet filter given a set of
% parameters in Fourier domain
%
% Usage
% gab = MORLET_2D_NODC(N, M, sigma, slant, xi, theta, offset)
%
% Input
% N (numeric): Width of the filter.
% M (numeric): Height of the filter.
% sigma (numeric): Standard deviation of the e... |
github | SynCrystal/SynCrystal-master | morlet_filter_bank_2d_pyramid.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/morlet_filter_bank_2d_pyramid.m | 3,716 | utf_8 | e704f21c9c28f81cd6d3ff93724ca7a0 | % MORLET_FILTER_BANK_2D_PYRAMID Compute a bank of Morlet wavelet filters in
% the spatial domain.
%
% Usage
% filters = MORLET_FILTER_BANK_2D_PYRAMID(options)
%
% Input
% options (structure): Options of the bank of filters. Optional, with
% fields:
% Q (numeric): number of scale per octave
% L (numeri... |
github | SynCrystal/SynCrystal-master | optimize_filter.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/optimize_filter.m | 1,912 | utf_8 | c6d4d667efb1ed1486ed8a0d936d1493 | % OPTIMIZE_FILTER Optimize filter representation
%
% Usage
% filter = OPTIMIZE_FILTER(filter_f, lowpass, options)
%
% Input
% filter_f (numeric): The Fourier transform of the filter.
% lowpass (boolean): If true, filter_f contains a lowpass filter.
% options (struct): Various options on how to optimize the ... |
github | SynCrystal/SynCrystal-master | shannon_filter_bank_2d.m | .m | SynCrystal-master/external/scatnet/scatnet/filters/shannon_filter_bank_2d.m | 4,509 | utf_8 | da5e29bf5395469fce79542f4821aada | % SHANNON_FILTER_BANK_2D Compute a bank of Shannon wavelet filters bank
%
% Usage
% filters = SHANNON_FILTER_BANK_2D(size_in, options)
%
% Input
% options (structure): Options of the bank of filters. Optional, with
% fields:
% J (numeric):
% min_margins (numeric): 1-by-2 vector for the horizontal and ... |
github | UFAL-DSG/alex-android-master | echo_diagnostic.m | .m | alex-android-master/libs/ndk-speex/speexjni/jni/libspeex/echo_diagnostic.m | 2,076 | utf_8 | 8d5e7563976fbd9bd2eda26711f7d8dc | % Attempts to diagnose AEC problems from recorded samples
%
% out = echo_diagnostic(rec_file, play_file, out_file, tail_length)
%
% Computes the full matrix inversion to cancel echo from the
% recording 'rec_file' using the far end signal 'play_file' using
% a filter length of 'tail_length'. The output is saved to 'o... |
github | shayo/Kofiko-master | fnParadigmClassificationImageCycle.m | .m | Kofiko-master/Paradigms/ClassificationImage/fnParadigmClassificationImageCycle.m | 21,618 | utf_8 | 7853b2f31c8f6439505e2a25bb8121b0 | function [strctOutput] = fnParadigmClassificationImageCycle(strctInputs)
%
% Copyright (c) 2008 Shay Ohayon, California Institute of Technology.
% This file is a part of a free software. you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foun... |
github | shayo/Kofiko-master | fnParadigmTouchForceChoicePrepareTrial.m | .m | Kofiko-master/Paradigms/TouchParadigms/TouchForceChoice/fnParadigmTouchForceChoicePrepareTrial.m | 69,402 | utf_8 | db99ba0769ac09395309a014731dcf1c | function [strctCurrentTrial,strWhatHappened] = fnParadigmTouchForceChoicePrepareTrial()
global g_strctParadigm g_strctPTB
%[g_strctParadigm.m_strctDesign,g_strctParadigm.m_acImages] = fnLoadForceChoiceNewDesignFile('NewForceChoiceDesign.xml');
g_strctParadigm.m_bGuiOverrideParamters = false;
strWhatHappene... |
github | shayo/Kofiko-master | fnParadigmTouchForceChoiceCallbacks.m | .m | Kofiko-master/Paradigms/TouchParadigms/TouchForceChoice/fnParadigmTouchForceChoiceCallbacks.m | 21,684 | utf_8 | d95bf39292864e6819def6dcea7b0ae4 | function fnParadigmTouchForceChoiceCallbacks(strCallback,varargin)
%
% Copyright (c) 2008 Shay Ohayon, California Institute of Technology.
% This file is a part of a free software. you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation... |
github | shayo/Kofiko-master | fnParadigmTouchForceChoiceDrawCycle.m | .m | Kofiko-master/Paradigms/TouchParadigms/TouchForceChoice/fnParadigmTouchForceChoiceDrawCycle.m | 19,700 | utf_8 | 9384688299fa6311573e51a9fdec0fb4 | function varargout=fnParadigmTouchForceChoiceDrawCycle(acInputsFromKofiko)
%
% Copyright (c) 2008 Shay Ohayon, California Institute of Technology.
% This file is a part of a free software. you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Fo... |
github | shayo/Kofiko-master | fnParadigmTouchForceChoiceCycle.m | .m | Kofiko-master/Paradigms/TouchParadigms/TouchForceChoice/fnParadigmTouchForceChoiceCycle.m | 54,892 | utf_8 | 3286052dff6973a7fca383b8a4dc91bc | function [strctOutput] = fnParadigmTouchForceChoiceCycle(strctInputs)
%
% Copyright (c) 2008 Shay Ohayon, California Institute of Technology.
% This file is a part of a free software. you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundat... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.