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github | sc1991327/scatnet-0.2-master | wavelet_factory_3d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | scat.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_layer_2d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_layer_3d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | modulus_layer.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | scat_freq.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_layer_2d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_factory_2d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_layer_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_layer_3d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_factory_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | inverse_wavelet_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | spec_freq_average.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_3d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | wavelet_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | richardson_lucy.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | griffin_lim.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | inverse_scat.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | filter_bank.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | truncate_filter.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | T_to_J.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | haar_filter_bank_2d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_filter_bank_2d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | realize_filter.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_2d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | filter_freq.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | selesnick_filter_bank_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | littlewood_paley.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | gabor_2d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | dual_filter_bank.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_filter_bank_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | gaussian_2d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | spline_filter_bank_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_freq_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | dyadic_freq_1d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | default_filter_options.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | periodize_filter.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | rotation_matrix_2d.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_2d_noDC.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | morlet_filter_bank_2d_pyramid.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | optimize_filter.m | .m | scatnet-0.2-master/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 | sc1991327/scatnet-0.2-master | shannon_filter_bank_2d.m | .m | scatnet-0.2-master/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 | SHIYUANMING/large-scale-convex-optimization-master | powermin_cvx.m | .m | large-scale-convex-optimization-master/TableITimeResults/powermin_cvx.m | 2,080 | utf_8 | 8330f3abff1f712e50c0c11bc0ff2f1e | %function [Wsolution,feasible,solving_time, cvx_slvitr] = powermin_cvx(params)
function [Wsolution,feasible] = powermin_cvx(params)
%prob_to_socp: maps PARAMS into a struct of SOCP matrices
%input struct 'parms' has the following fields:
%params.L; %'L': # RRHs
%params.K; %'K': # MUs
%params.N_set; %set of anten... |
github | jay-mahadeokar/caffe-master | prepare_batch.m | .m | caffe-master/matlab/caffe/prepare_batch.m | 1,298 | utf_8 | 68088231982895c248aef25b4886eab0 | % ------------------------------------------------------------------------
function images = prepare_batch(image_files,IMAGE_MEAN,batch_size)
% ------------------------------------------------------------------------
if nargin < 2
d = load('ilsvrc_2012_mean');
IMAGE_MEAN = d.image_mean;
end
num_images = length... |
github | jay-mahadeokar/caffe-master | matcaffe_demo_vgg.m | .m | caffe-master/matlab/caffe/matcaffe_demo_vgg.m | 3,036 | utf_8 | f836eefad26027ac1be6e24421b59543 | function scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
%
% Demo of the matlab wrapper using the networks described in the BMVC-2014 paper "Return of the Devil in the Details: Delving Deep into Convolutional... |
github | jay-mahadeokar/caffe-master | matcaffe_demo.m | .m | caffe-master/matlab/caffe/matcaffe_demo.m | 3,344 | utf_8 | 669622769508a684210d164ac749a614 | function [scores, maxlabel] = matcaffe_demo(im, use_gpu)
% scores = matcaffe_demo(im, use_gpu)
%
% Demo of the matlab wrapper using the ILSVRC network.
%
% input
% im color image as uint8 HxWx3
% use_gpu 1 to use the GPU, 0 to use the CPU
%
% output
% scores 1000-dimensional ILSVRC score vector
%
% You m... |
github | jay-mahadeokar/caffe-master | matcaffe_demo_vgg_mean_pix.m | .m | caffe-master/matlab/caffe/matcaffe_demo_vgg_mean_pix.m | 3,069 | utf_8 | 04b831d0f205ef0932c4f3cfa930d6f9 | function scores = matcaffe_demo_vgg_mean_pix(im, use_gpu, model_def_file, model_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file)
%
% Demo of the matlab wrapper based on the networks used for the "VGG" entry
% in the ILSVRC-2014 competition and described in the tech. report
% "Very Deep Convo... |
github | huard/copula-master | quadg.m | .m | copula-master/quadg.m | 7,630 | utf_8 | a06b48825eac508bca5fec0cc3a98164 | function [int, tol1,ix]= quadg(fun,xlow,xhigh,tol,trace,p1,p2,p3,p4,p5,p6,p7,p8,p9)
%QUAUDG Numerically evaluates a integral using a Gauss Legendre quadrature.
%
% CALL:
% [int, tol] = quadg('Fun',xlow,xhigh,reltol,[trace,gn],p1,p2,....)
%
% int = evaluated integral
% tol = absolute tolerance abs(int... |
github | huard/copula-master | copulapdf.m | .m | copula-master/copulapdf.m | 8,337 | utf_8 | aab2af96ce83715aaa6d50e980581a9c | function c = copulapdf(family, varargin)
%
% FUNCTION C = COPULAPDF(FAMILY, U, ALPHA)
%
% Return c(u,v|ALPHA), the copula density.
%
% INPUTS
% FAMILY: one of {'ind', 'gaussian', 'gumbel' 'clayton' 'frank' 'amh' 'joe' 'fgm' 'arch12' 'arch14'}
% U: Nx2 vector (u,v) in [0,1]^2.
% repla... |
github | huard/copula-master | copularnd.m | .m | copula-master/copularnd.m | 3,817 | utf_8 | ba593e66bcbee9560fa57f014ba2c677 | function u = copularnd(family, varargin)
%
% U = COPULARND(FAMILY, ALPHA [, N])
%
% Generate random quantiles u,v from the given copula family.
%
% INPUT
% FAMILY: One of {'ind', 'gaussian', 't', 'clayton', 'frank', 'gumbel',
% 'fgm', 'amh', 'arch12', 'arch14', 'gb', 'joe'}.
% ALPHA: Copula... |
github | huard/copula-master | copulaparam.m | .m | copula-master/copulaparam.m | 2,513 | utf_8 | 334dbedeea0b6b5f819e6b066b123c86 | function alpha = copulaparam(family,tau)
%
% ALPHA = COPULAPARAM(FAMILY,TAU)
%
% Return the copula parameter, given Kendall's rank correlation.
%
% INPUT
% FAMILY: One of {'AMH' 'Arch12' 'Arch14' 'Clayton' 'FGM' 'Frank'
% 'Gaussian' 'Gumbel' 't'}
% TAU: Kendall's rank correla... |
github | vitaminwater/OpenPilot-master | analyzeINSGPS.m | .m | OpenPilot-master/ground/openpilotgcs/src/experimental/SerialLogger/analyzeINSGPS.m | 2,192 | utf_8 | 5ff25ac538c86ff94edb1627e47f29aa | function [q gyro accel rpy time] = analyzeINSGPS(fn)
% Analyzes data collected from SerialLogger while DUMP_FRIENDLY
% enabled in AHRS
%
% [q gyro accel time] = analyzeINSGPS(fn)
fid = fopen(fn);
i = 1;
data(i).block = -1;
tline = fgetl(fid);
while ischar(tline) && ~isempty(tline)
switch(tline(1))
case 'q... |
github | vitaminwater/OpenPilot-master | OPPlots.m | .m | OpenPilot-master/ground/openpilotgcs/src/plugins/uavobjects/OPPlots.m | 4,727 | utf_8 | 7c4904e8a2cea9eaefc753da7cd5b467 | function OPPlots()
[FileName,PathName,FilterIndex] = uigetfile('*.mat');
matfile = strcat(PathName,FileName);
load(matfile);
%load('specificfilename')
TimeVA = [VelocityState.timestamp]/1000;
VA = [[VelocityState.North]
[VelocityState.East]
[VelocityState.Down]]... |
github | vitaminwater/OpenPilot-master | openpilot2kml.m | .m | OpenPilot-master/matlab/revo/openpilot2kml.m | 7,123 | utf_8 | 8d376a92373813a3ea2042b8291d9b1f | function openpilot2kml(matfile)
if ~exist('ge_colorbar', 'file')
msg=['Google Earth Toolbox must be present and included in the Matlab path. For example:'...
10 ' path(path, ''/Users/ponthy/googleearth'''];
error(msg)
end
if nargin==0
[FileName,PathName] = uigetfile('*.mat');
matfile = strcat(PathName,FileName)... |
github | lgbwust/SR-Hashing-YongYuan-master | expectedRankEfficient.m | .m | SR-Hashing-YongYuan-master/MDSH/expectedRankEfficient.m | 1,398 | utf_8 | e67efb1ba3f5e49a3246b6b6ec373a0e | %function [er] = expectedRank(Wtrue, What, fig, varargin)
function [er] = expectedRankEfficient(Xtraining, Xtest, Utraining, Utest, SHparam, T, fig, varargin)
%
% Input:
% Wtrue = true neighbors [Ntest * Ndataset], can be a full matrix NxN
% What = estimated affinities
Ntest = size(Xtest,1);
Ntrain = size(Xtra... |
github | lgbwust/SR-Hashing-YongYuan-master | trainMDSH.m | .m | SR-Hashing-YongYuan-master/MDSH/trainMDSH.m | 4,546 | utf_8 | bd7ad0e40dbe6f060d7054d9f9e3568c |
function SHparam = trainSH_numerical(X, SHparam)
%
% Input:
% X = raw data matrix [Nsamples, Nfeatures]
% SHparam.nbits = number of bits (nbits do not need to be a multiple of 8).
% SHparam.sigma = Sigma in graph Laplacian (default=0.1).
% SHparam.epsilon = Constant to avoid DIV0 problems (default = 0.1).
% ... |
github | lgbwust/SR-Hashing-YongYuan-master | compressMDSH.m | .m | SR-Hashing-YongYuan-master/MDSH/compressMDSH.m | 1,953 | utf_8 | 68bd283a10b5c6b2aa3deff2338323fc | function [B, U] = compressMDSH_numericalNew(X, SHparam)
%
% Input:
% X = raw data matrix [Nsamples, Nfeatures]
% SHparam.nbits = number of bits (nbits do not need to be a multiple of 8).
% SHparam.sigma = Sigma in graph Laplacian (default=0.1).
% SHparam.epsilon = Constant to avoid DIV0 problems (default = 0.1... |
github | lgbwust/SR-Hashing-YongYuan-master | compressUSPLH.m | .m | SR-Hashing-YongYuan-master/USPLH/compressUSPLH.m | 985 | utf_8 | 15f249422866e7bef405215616563cf3 | function [B, U] = compressUSPLH(X, USPLHparam)
%
% [B, U] = compresUSPLH(X, SHparam)
%
% Input
% X = features matrix [Nsamples, Nfeatures]
% SHparam = parameters (output of trainSH)
%
% Output
% B = bits (compacted in 8 bits words)
% U = value of eigenfunctions (bits in B correspond to U>0)
%
%
% Spectral Hash... |
github | lgbwust/SR-Hashing-YongYuan-master | evaluate_USPLH.m | .m | SR-Hashing-YongYuan-master/USPLH/evaluate_USPLH.m | 4,090 | utf_8 | 9422ddc54b5e1e5c79665b15384d8949 | %%% Unsupervised Sequential Projection Learning for Hashing (USPLH)
%%% Reference: Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Sequential Projection Learning
%%%% for Hashing with Compact Codes. In ICML, 2010
%%% by Jun Wang EE@Columbia (jwang@ee.columbia.edu);
function evaluation_info=evaluate_USPLH(SIFT_trndata,SIFT_tst... |
github | lgbwust/SR-Hashing-YongYuan-master | trainSRH.m | .m | SR-Hashing-YongYuan-master/SRH/trainSRH.m | 1,795 | utf_8 | 01f917943369778c7543a30c1d785d8a | function Param = trainSRH(X, Param)
[Nsamples Ndim] = size(X);
M=X'*X;
opts.disp=0.01;
[V,D] = eigs(double(M), Param.nbits, 'LM', opts);
V=single(V);
Param.B{1}=median(X*V,1);
Param.A{1}=V;
Param.Mask{1}=uint32(1:Nsamples);
if(Param.L>1)
[X_sup, S, I_sup, I_keep]=getSubinfo(X,Param);
end
[TT,YYY]=size(X_sup);
DD=o... |
github | Miceroy/yam2d-master | member_pointer_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/member_pointer_runme.m | 922 | utf_8 | 5d65cb03abdda4efc4dd89ee739e27b6 | # Example using pointers to member functions
member_pointer
function check(what,expected,actual)
if (expected != actual)
error ("Failed: %s, Expected: %f, Actual: %f",what,expected,actual);
endif
end
# Get the pointers
area_pt = areapt;
perim_pt = perimeterpt;
# Create some objects
s = Square(10);
# Do s... |
github | Miceroy/yam2d-master | director_basic_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/director_basic_runme.m | 1,734 | utf_8 | b6b47f50cd7b79dce886ca9a71659d86 | director_basic
function self=OctFoo()
global director_basic;
self=subclass(director_basic.Foo());
self.ping=@OctFoo_ping;
end
function string=OctFoo_ping(self)
string="OctFoo::ping()";
end
a = OctFoo();
if (!strcmp(a.ping(),"OctFoo::ping()"))
error(a.ping())
endif
if (!strcmp(a.pong(),"Foo::pong();OctFoo... |
github | Miceroy/yam2d-master | director_string_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/director_string_runme.m | 456 | utf_8 | 253061c50e9f69d1d7f90b0bf7c64b21 | director_string
function out=get_first(self)
out = strcat(self.A.get_first()," world!");
end
function process_text(self,string)
self.A.process_text(string);
self.smem = "hello";
end
B=@(string) subclass(A(string),'get_first',@get_first,'process_text',@process_text);
b = B("hello");
b.get(0);
if (!strcmp(b.ge... |
github | Miceroy/yam2d-master | li_boost_shared_ptr_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/li_boost_shared_ptr_runme.m | 15,557 | utf_8 | 416225787d84c7b540725c7558b887a7 | 1;
li_boost_shared_ptr;
function verifyValue(expected, got)
if (expected ~= got)
error("verify value failed.");% Expected: ", expected, " Got: ", got)
end
endfunction
function verifyCount(expected, k)
got = use_count(k);
if (expected ~= got)
error("verify use_count failed. Expected: %d Go... |
github | Miceroy/yam2d-master | voidtest_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/voidtest_runme.m | 489 | utf_8 | e8f18ed9dcf24d5fabce570c881dde59 | voidtest
voidtest.globalfunc();
f = voidtest.Foo();
f.memberfunc();
voidtest.Foo_staticmemberfunc();
function fvoid()
end
try
a = f.memberfunc();
catch
end_try_catch
try
a = fvoid();
catch
end_try_catch
v1 = voidtest.vfunc1(f);
v2 = voidtest.vfunc2(f);
if (swig_this(v1) != swig_this(v2))
error
endif
v3 =... |
github | Miceroy/yam2d-master | director_detect_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/director_detect_runme.m | 654 | utf_8 | b67110f81021223aa13bcfcf1a6db401 | director_detect
global MyBar=@(val=2) subclass(director_detect.Bar(),'val',val,@get_value,@get_class,@just_do_it,@clone);
function val=get_value(self)
self.val = self.val + 1;
val = self.val;
end
function ptr=get_class(self)
global director_detect;
self.val = self.val + 1;
ptr=director_detect.A();
end
... |
github | Miceroy/yam2d-master | preproc_constants_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/preproc_constants_runme.m | 533 | utf_8 | 917a1bdadc03d5ce92d7468e9c4c81b2 | preproc_constants
assert(CONST_INT1, 10)
assert(CONST_DOUBLE3, 12.3)
assert(CONST_BOOL1, true)
assert(CONST_CHAR, 'x')
assert(CONST_STRING1, "const string")
# Test global constants can be seen within functions
function test_global()
global CONST_INT1
global CONST_DOUBLE3
global CONST_BOOL1
global CO... |
github | Miceroy/yam2d-master | director_classic_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/director_classic_runme.m | 2,411 | utf_8 | 168e96aff7298695046a230adc01e911 | director_classic
TargetLangPerson=@() subclass(Person(),'id',@(self) "TargetLangPerson");
TargetLangChild=@() subclass(Child(),'id',@(self) "TargetLangChild");
TargetLangGrandChild=@() subclass(GrandChild(),'id',@(self) "TargetLangGrandChild");
# Semis - don't override id() in target language
TargetLangSemiPerson=@()... |
github | Miceroy/yam2d-master | cpp11_strongly_typed_enumerations_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/cpp11_strongly_typed_enumerations_runme.m | 9,095 | utf_8 | 79292c56985d5d809f0dd6ca56afc4f7 | cpp11_strongly_typed_enumerations
function newvalue = enumCheck(actual, expected)
if (actual != expected);
error("Enum value mismatch. Expected: %d Actual: %d", expected, actual);
endif
newvalue = expected + 1;
end
val = 0;
val = enumCheck(cpp11_strongly_typed_enumerations.Enum1_Val1, val);
val = enumCheck(... |
github | Miceroy/yam2d-master | li_std_vector_enum_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/li_std_vector_enum_runme.m | 376 | utf_8 | 3915e1d2851c46706f5ee2878da627c4 | li_std_vector_enum
function check(a, b)
if (a != b)
error("incorrect match");
endif
end
ev = EnumVector();
check(ev.nums(0), 10);
check(ev.nums(1), 20);
check(ev.nums(2), 30);
it = ev.nums.begin();
v = it.value();
check(v, 10);
it.next();
v = it.value();
check(v, 20);
#expected = 10
#ev.nums.each do|val|
... |
github | Miceroy/yam2d-master | exception_order_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/exception_order_runme.m | 898 | utf_8 | a9559c0998ed1178eef715d5314f32e1 | exception_order
function check_lasterror(expected)
if (!strcmp(lasterror.message, expected))
# Take account of older versions prefixing with "error: " and adding a newline at the end
if (!strcmp(regexprep(lasterror.message, 'error: (.*)\n$', '$1'), expected))
error(["Bad exception order. Expected: \"",... |
github | Miceroy/yam2d-master | director_abstract_runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/test-suite/octave/director_abstract_runme.m | 993 | utf_8 | 010e2a8f3e12a660ec6f6b89f629f5fd | director_abstract
MyFoo=@() subclass(director_abstract.Foo(),@ping);
function out=ping(self)
out="MyFoo::ping()";
end
a = MyFoo();
if (!strcmp(a.ping(),"MyFoo::ping()"))
error(a.ping())
endif
if (!strcmp(a.pong(),"Foo::pong();MyFoo::ping()"))
error(a.pong())
endif
MyExample1=@() subclass(director_abstract.... |
github | Miceroy/yam2d-master | runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/octave/class/runme.m | 1,017 | utf_8 | 402733d5ff5c5f0ec147a476914de00a | # file: runme.m
# This file illustrates the proxy class C++ interface generated
# by SWIG.
swigexample
# ----- Object creation -----
printf("Creating some objects:\n");
c = swigexample.Circle(10)
s = swigexample.Square(10)
# ----- Access a static member -----
printf("\nA total of %i shapes were created\n", swigex... |
github | Miceroy/yam2d-master | runme.m | .m | yam2d-master/Tools/swigwin-3.0.8/Examples/octave/module_load/runme.m | 1,662 | utf_8 | 383122eccc45eeee51c841b36eab5129 | # file: runme_args.m
# load module
clear all;
swigexample;
assert(cvar.ivar == ifunc);
assert(exist("swigexample","var"));
clear all
swigexample;
assert(cvar.ivar == ifunc);
assert(exist("swigexample","var"));
clear all
# load module in a function globally before base context
clear all;
function testme
swigexample;... |
github | Riashat/Model-Free-Control-Reinforcement-Learning-master | Q4_runSarsaLinearApproximator.m | .m | Model-Free-Control-Reinforcement-Learning-master/Q4_runSarsaLinearApproximator.m | 475 | utf_8 | 6ec3ffcda02e06dc26a9a06d60466caf |
function [mse] = Q4_runSarsaLinearApproximator()
fprintf('Running Sarsa With Linear Function Approximation on Easy 21 Game')
lambda = 0:0.1:1;
iteration = 1000;
mse = zeros(length(lambda),1);
for i = 1:length(lambda)
mse(i) = Sarsa_LinearFunctionApproximator(lambda(i), iteration);
end
length(mse);
figure(1)
p... |
github | OpenBionics/Prosthetic-Hands-master | AnthropomorphicRobotHands_kin.m | .m | Prosthetic-Hands-master/Kinematics/MATLAB/AnthropomorphicRobotHands_kin.m | 6,004 | utf_8 | f7d9ce8ad088d1218822c19db41b7af7 | %% #### -------------------------------------------------------------- ####
%% Neurorobotics Group, Control Systems Lab
%% School of Mechanical Engineering
%% National Technical University of Athens (NTUA)
%% Address: 9 Heroon Polytechniou Str. Zografou, Athens, 1... |
github | entron/bosonic-vmps-master | initCstorage.m | .m | bosonic-vmps-master/initCstorage.m | 314 | utf_8 | d8f5d28b0685ef261a83adc8538c041a |
function [Cstorage] = initCstorage(mpsB, mpoX, mpsA, N)
Cstorage = cell(1, N + 1);
Cstorage{1} = 1;
Cstorage{N + 1} = 1;
for i = N:-1:2
if isempty(mpoX), X = [];
else X = mpoX{i};
end
Cstorage{i} = updateCright(Cstorage{i + 1}, mpsB{i}, X, mpsA{i});
end |
github | entron/bosonic-vmps-master | minimizeE_onesiteVmat.m | .m | bosonic-vmps-master/minimizeE_onesiteVmat.m | 1,712 | utf_8 | 5f6a5c45e0f458c748d4f44db9eb5568 | % ******************** one-site optimvzization ***********************
function [B, E] = minimizeE_onesiteVmat(op, A, Blaststep,para)
% A is the local matrix
% B is the optimized local optimal phonon basis transform matrix
tol=para.eigs_tol;
M = size(op.h2j, 1);
[Dblast,dlast]=size(Blaststep);
op.HlOPB = contractte... |
github | entron/bosonic-vmps-master | minimizeE_onesiteA.m | .m | bosonic-vmps-master/minimizeE_onesiteA.m | 1,392 | utf_8 | 266451f74a4d209dcd5d97df6677d879 |
function [A, E] = minimizeE_onesiteA(op, B, Alaststep,para,sitej)
% ******************** one-site optimization ***********************
tol=para.eigs_tol;
DAl = size(op.Hleft, 1);
DAr = size(op.Hright, 1);
d = size(B, 2);
[ll,rr,dd] = size(Alaststep);
if para.parity~='n'
nzAlast=Alaststep(para.Anzi{sitej});
end
%... |
github | biddyweb/openLTEMain-master | lte_code_block_deconcatenation.m | .m | openLTEMain-master/octave/lte_code_block_deconcatenation.m | 3,563 | utf_8 | 09684caa216372d91800484101164c8f | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_generate_ul_rs.m | .m | openLTEMain-master/octave/lte_generate_ul_rs.m | 11,949 | utf_8 | 1c78e98b09ad2c8df569fb85c40fb233 | %
% Copyright 2013 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_rate_match_turbo.m | .m | openLTEMain-master/octave/lte_rate_match_turbo.m | 4,814 | utf_8 | eb83a574a2875b005c81013a8b164437 | %
% Copyright 2012, 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This ... |
github | biddyweb/openLTEMain-master | lte_ulsch_channel_decode.m | .m | openLTEMain-master/octave/lte_ulsch_channel_decode.m | 3,025 | utf_8 | fbbf034c63179ef85f77b3a35d44cdbe | %
% Copyright 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_rate_unmatch_conv.m | .m | openLTEMain-master/octave/lte_rate_unmatch_conv.m | 4,510 | utf_8 | 51b5c572e966d3c85c2510243cff6c4c | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_dlsch_channel_decode.m | .m | openLTEMain-master/octave/lte_dlsch_channel_decode.m | 2,741 | utf_8 | a95f8f4bbb993b26820bfd1f9922560b | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_layer_mapper_dl.m | .m | openLTEMain-master/octave/lte_layer_mapper_dl.m | 7,341 | utf_8 | 3c5767eede822023f2a83bac738cf47a | %
% Copyright 2011-2012, 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% ... |
github | biddyweb/openLTEMain-master | lte_modulation_mapper.m | .m | openLTEMain-master/octave/lte_modulation_mapper.m | 10,602 | utf_8 | afd32f9e472221766197e327ccc634df | %
% Copyright 2011-2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | lte_dlsch_channel_encode.m | .m | openLTEMain-master/octave/lte_dlsch_channel_encode.m | 2,543 | utf_8 | e17c1ec3a22bc7c085e5d8ea4fad86da | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_prach_preamble_seq_gen.m | .m | openLTEMain-master/octave/lte_prach_preamble_seq_gen.m | 8,340 | utf_8 | 26bbda52c8722de2769871794812f02f | %
% Copyright 2013 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_rate_match_conv.m | .m | openLTEMain-master/octave/lte_rate_match_conv.m | 3,213 | utf_8 | 39b79e9b4b593d399647ad64e79a4144 | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_modulation_demapper.m | .m | openLTEMain-master/octave/lte_modulation_demapper.m | 3,704 | utf_8 | ca3088ff55363b0cb8afa81d4ae870d6 | %
% Copyright 2011-2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | lte_ulsch_channel_encode.m | .m | openLTEMain-master/octave/lte_ulsch_channel_encode.m | 2,794 | utf_8 | eb93e71c31e2771d4cd6ebd6e87a3251 | %
% Copyright 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_cfi_channel_encode.m | .m | openLTEMain-master/octave/lte_cfi_channel_encode.m | 1,769 | utf_8 | 29864b72bd0f730759bbb705f17d36f5 | %
% Copyright 2011-2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | lte_pre_decoder_and_matched_filter_ul.m | .m | openLTEMain-master/octave/lte_pre_decoder_and_matched_filter_ul.m | 1,604 | utf_8 | 7fe53c411ea4a48190ec8e5f84892c1d | %
% Copyright 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | lte_rate_unmatch_turbo.m | .m | openLTEMain-master/octave/lte_rate_unmatch_turbo.m | 7,253 | utf_8 | 0e702e2dc2b4009eb671e53566238949 | %
% Copyright 2012, 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This ... |
github | biddyweb/openLTEMain-master | lte_layer_mapper_ul.m | .m | openLTEMain-master/octave/lte_layer_mapper_ul.m | 1,495 | utf_8 | e5720989f8523733778a3073fe1c4656 | %
% Copyright 2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
github | biddyweb/openLTEMain-master | cmn_bin2dec.m | .m | openLTEMain-master/octave/cmn_bin2dec.m | 1,501 | utf_8 | 035cee440cf201c93fbbbe8afd340528 | %
% Copyright 2011-2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | cmn_oct2bin.m | .m | openLTEMain-master/octave/cmn_oct2bin.m | 1,892 | utf_8 | 5aea5ae5e76ba85e129151d675145ee9 | %
% Copyright 2011-2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | lte_prach_detector.m | .m | openLTEMain-master/octave/lte_prach_detector.m | 10,743 | utf_8 | 7d5a075503c0d26e5e342e0231cf8121 | %
% Copyright 2013-2014 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This p... |
github | biddyweb/openLTEMain-master | lte_code_block_concatenation.m | .m | openLTEMain-master/octave/lte_code_block_concatenation.m | 1,525 | utf_8 | 74a5c71eac634b457b6f3c87cf2bbcfc | %
% Copyright 2012 Ben Wojtowicz
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This progra... |
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