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github | zpole/IICV-master | phow_caltech101.m | .m | IICV-master/apps/phow_caltech101.m | 11,594 | utf_8 | 7f4890a2e6844ca56debbfe23cca64f3 | function phow_caltech101()
% PHOW_CALTECH101 Image classification in the Caltech-101 dataset
% This program demonstrates how to use VLFeat to construct an image
% classifier on the Caltech-101 data. The classifier uses PHOW
% features (dense SIFT), spatial histograms of visual words, and a
% Chi2 SVM. To speedu... |
github | zpole/IICV-master | sift_mosaic.m | .m | IICV-master/apps/sift_mosaic.m | 4,621 | utf_8 | 8fa3ad91b401b8f2400fb65944c79712 | function mosaic = sift_mosaic(im1, im2)
% SIFT_MOSAIC Demonstrates matching two images using SIFT and RANSAC
%
% SIFT_MOSAIC demonstrates matching two images based on SIFT
% features and RANSAC and computing their mosaic.
%
% SIFT_MOSAIC by itself runs the algorithm on two standard test
% images. Use SIFT_MOSAI... |
github | zpole/IICV-master | encodeImage.m | .m | IICV-master/apps/recognition/encodeImage.m | 5,393 | utf_8 | 7644a5b00895b59e6e89d19467325a00 | function descrs = encodeImage(encoder, im, varargin)
% ENCODEIMAGE Apply an encoder to an image
% DESCRS = ENCODEIMAGE(ENCODER, IM) applies the ENCODER
% to image IM, returning a corresponding code vector PSI.
%
% IM can be an image, the path to an image, or a cell array of
% the same, to operate on multiple ... |
github | zpole/IICV-master | experiments.m | .m | IICV-master/apps/recognition/experiments.m | 6,943 | utf_8 | 96e6f85773b675c51514926a32e8c171 | function experiments()
% EXPERIMENTS Run image classification experiments
% The experimens download a number of benchmark datasets in the
% 'data/' subfolder. Make sure that there are several GBs of
% space available.
%
% By default, experiments run with a lite option turned on. This
% quickly runs all... |
github | zpole/IICV-master | encodeImageColor.m | .m | IICV-master/apps/recognition/encodeImageColor.m | 5,346 | utf_8 | 6ee5450ba2461ea1742e45b3e388b769 | function descrs = encodeImageColor(encoder, im, varargin)
% ENCODEIMAGE Apply an encoder to an image
% DESCRS = ENCODEIMAGE(ENCODER, IM) applies the ENCODER
% to image IM, returning a corresponding code vector PSI.
%
% IM can be an image, the path to an image, or a cell array of
% the same, to operate on mult... |
github | zpole/IICV-master | getDenseSIFT.m | .m | IICV-master/apps/recognition/getDenseSIFT.m | 1,679 | utf_8 | 2059c0a2a4e762226d89121408c6e51c | function features = getDenseSIFT(im, varargin)
% GETDENSESIFT Extract dense SIFT features
% FEATURES = GETDENSESIFT(IM) extract dense SIFT features from
% image IM.
% Author: Andrea Vedaldi
% Copyright (C) 2013 Andrea Vedaldi
% All rights reserved.
%
% This file is part of the VLFeat library and is made availab... |
github | wangzheallen/transfer_ijcv-master | prepare_image.m | .m | transfer_ijcv-master/prepare_image.m | 1,511 | utf_8 | dbfd4944744492e1a2210f1bae501eb0 | % ------------------------------------------------------------------------
function crops_data = prepare_image(im, scale)
CROPPED_DIM = 224;
im = imresize(im, scale);
im_data = im(:, :, [3, 2, 1]); % permute channels from RGB to BGR
im_data = permute(im_data, [2, 1, 3]); % flip width and height
im_data = single(im_... |
github | wangzheallen/transfer_ijcv-master | heatmap.m | .m | transfer_ijcv-master/picture/heatmap.m | 25,671 | utf_8 | c169d97df2ee210ed924b19f7188d128 | function [hImage, hText, hXText] = heatmap(mat, xlab, ylab, textmat, varargin)
% HEATMAP displays a matrix as a heatmap image
%
% USAGE:
% [hImage, hText, hTick] = heatmap(matrix, xlabels, ylabels, textmatrix, 'param', value, ...)
%
% INPUTS:
% * HEATMAP displays "matrix" as an image whose color intensities refl... |
github | ziyubiti/PUCCHpower-master | hPRACHDetectionResultsV2.m | .m | PUCCHpower-master/PUCCH Power/Model/hPRACHDetectionResultsV2.m | 525 | utf_8 | 0f16cd3792fdcdd6b9297ab03acafa25 |
function hPRACHDetectionResultsV2(SNRdB, numSubframes, P)
figure;
plot(SNRdB,P,'b-o','LineWidth',2,'MarkerSize',7);
title(['Detection Probability for ', ...
num2str(numSubframes) ' subframe(s)'] );
xlabel('SNRdB'); ylabel('Detection Probability');
grid on;
hold on;
% plot(-8.0,0.... |
github | ziyubiti/PUCCHpower-master | FreOffsetEstimateCp.m | .m | PUCCHpower-master/PUCCH Power/Model/FreOffsetEstimateCp.m | 1,316 | utf_8 | 3ec2e7a5a9bce8e7b9fc38b1e646c11c | % coarse freq offset estimation,[-7.5K 7.5K]
% flag = 1, UL, the cp part and the last symbole are phase inversed ,
% because the 7.5K half sc freq offset
function [freqoffset_cp] = FreOffsetEstimateCp(timeDomainSig,infoScfdma,ULflag)
nFFT = infoScfdma.Nfft;
CP_len = infoScfdma.CyclicPrefixLengths;
q = size(timeDoma... |
github | ziyubiti/PUCCHpower-master | ltePUSCHDecodeV2.m | .m | PUCCHpower-master/PUCCH Power/Model/ltePUSCHDecodeV2.m | 11,277 | utf_8 | 45b4a2c8b67dec7aaa409ac850e77027 | %ltePUSCHDecode Physical uplink shared channel decoding
% [CWS,SYMBOLS] = ltePUSCHDecode(...) returns a soft bit vector, or cell
% array of soft bit vectors, CWS containing the received codeword
% estimates and received constellation of complex symbol vector SYMBOLS
% resulting from performing the inverse of th... |
github | ziyubiti/PUCCHpower-master | lteSCFDMADemodulateV2.m | .m | PUCCHpower-master/PUCCH Power/Model/lteSCFDMADemodulateV2.m | 6,508 | utf_8 | 6d445113c4fef14ec3e8cbfe7d2cd222 | %lteSCFDMADemodulate SC-FDMA demodulation
% GRID = lteSCFDMADemodulate(UE,WAVEFORM) performs SC-FDMA demodulation
% of the time domain waveform WAVEFORM given ue-specific settings
% structure UE which must include the following fields:
% NULRB - Number of uplink resource blocks
% CyclicPrefixUL - Opt... |
github | ziyubiti/PUCCHpower-master | TimeFreqOffsetEstimate.m | .m | PUCCHpower-master/PUCCH Power/Model/TimeFreqOffsetEstimate.m | 762 | utf_8 | 26ed394c2d4540158f321a924fb0b4a8 |
% PUSCH DMRS channel estimation to calc time and freq offset
% s2 = s1 * exp(j*2pi*deltaF*delataT*nTs);
% normalized timeoffset ,express Ts;
% absolute freqoffset,express Hz;
% small freq offset, [-1000, 1000];
function [timeoffset,freqoffset] = TimeFreqOffsetEstimate(estChannelGrid,drsindex)
q = size(estChannel... |
github | ziyubiti/PUCCHpower-master | lteULFrameOffsetV2.m | .m | PUCCHpower-master/PUCCH Power/Model/lteULFrameOffsetV2.m | 5,385 | utf_8 | 5309b7a860293dba6f67bbcff2393943 | %lteULFrameOffset PUSCH DRS uplink frame timing estimate
% OFFSET=lteULFrameOffset(UE,CHS,WAVEFORM) performs synchronization using
% PUSCH DRS signals for the time domain waveform WAVEFORM given
% UE-specific settings UE and PUSCH configuration CHS.
% UE must be a structure including the following fields:
% ... |
github | ziyubiti/PUCCHpower-master | hPUSCHResultsV2.m | .m | PUCCHpower-master/PUCCH Power/Model/hPUSCHResultsV2.m | 1,194 | utf_8 | 6776bded8fad1cf7a2dd50fccb988924 |
function hPUSCHResultsV2(SNRIn, NFrames, trBlkSizes, throughput, bitThroughput)
figure;
plot(SNRIn, mean(bitThroughput, 2)/1000,'-b*');
title(['Throughput for ', num2str(NFrames) ' Frame(s)']);
xlabel('SNR (dB)'); ylabel('Throughput (Mbps)');
grid on;
hold on;
plot(SNRIn, mean(trBlkSizes)... |
github | ziyubiti/PUCCHpower-master | ltePDCCHSearchV2.m | .m | PUCCHpower-master/PUCCH Power/Model/ltePDCCHSearchV2.m | 9,797 | utf_8 | 9f916c5b87c94afc10d46cce22f887ad | %ltePDCCHSearch PDCCH downlink control information search
% [DCISTR,DCIBITS] = ltePDCCHSearch(ENB,CHS,SOFTBITS) recovers DCI
% message structures DCISTR and corresponding vectors of DCI message bits
% DCIBITS after blind decoding the multiplexed PDCCHs within the control
% region given by input vector of soft b... |
github | ziyubiti/PUCCHpower-master | lteSCFDMAModulateV2.m | .m | PUCCHpower-master/PUCCH Power/Model/lteSCFDMAModulateV2.m | 182 | utf_8 | a6a78bd1e2ce4d54740b7eac025e3c5b |
function [timeDomainSig,infoScfdma] = lteSCFDMAModulateV2(rmc,frame)
[timeDomainSig,infoScfdma] = lteSCFDMAModulate(rmc,frame);
timeDomainSig = timeDomainSig*sqrt(infoScfdma.Nfft); |
github | ziyubiti/PUCCHpower-master | lteDlTimeFreqOffsetEstimate.m | .m | PUCCHpower-master/PUCCH Power/Model/lteDlTimeFreqOffsetEstimate.m | 758 | utf_8 | c3940a94bbd2b5c4d3fc28b47da6bea9 |
% CRS channel estimation to calc time and freq offset
% s2 = s1 * exp(j*2pi*deltaF*delataT*nTs);
% normalized timeoffset ,express Ts;
% absolute freqoffset,express Hz;
% small freq offset, [-1000, 1000];
% hest:4D, 1200*14*Nrx*Ntx
function [timeoffset,freqoffset] = lteDlTimeFreqOffsetEstimate(hest)
H = [];
H07 = ... |
github | ziyubiti/PUCCHpower-master | hHARQACKResultsV2.m | .m | PUCCHpower-master/PUCCH Power/Model/hHARQACKResultsV2.m | 656 | utf_8 | 02e0d56a9a18fd392f8202440334b01c |
function hHARQACKResultsV2(SNRdB, pFalse, pMissed)
figure;
% Probability of false detection
semilogy(SNRdB, pFalse, 'k-*', 'LineWidth', 2, 'MarkerSize', 7);
grid on;
hold on;
% Probability of missed detection
semilogy(SNRdB, pMissed, 'b-o', 'LineWidth', 2, 'MarkerSize', 7);
hold on;
... |
github | ziyubiti/PUCCHpower-master | lteULChannelEstimateV2.m | .m | PUCCHpower-master/PUCCH Power/Model/lteULChannelEstimateV2.m | 38,438 | utf_8 | ad1d20b9c7706bafdc519dff4f7958ff | %lteULChannelEstimate PUSCH uplink channel estimation
% [HEST,NOISEEST] = lteULChannelEstimate(...) returns the estimated
% channel between each transmit and receive antenna and an estimate of
% the noise power spectral density.
%
% HEST is an M-by-N-by-NRxAnts-by-NTxAnts array where M is the total
% number o... |
github | ziyubiti/PUCCHpower-master | PuschSinrEstimate.m | .m | PUCCHpower-master/PUCCH Power/Model/PuschSinrEstimate.m | 216 | utf_8 | 57ba7febf9de4c72d8a1ab0fd17b0403 |
function [Sinr] = PuschSinrEstimate(estChannelGrid,drsindex,noiseEst)
q = size(estChannelGrid,3);
Hp = estChannelGrid(drsindex,[4 11],:);
Sp = mean(mean(mean(Hp.*conj(Hp))));
Sinr = 10*log10(Sp/noiseEst);
|
github | ziyubiti/PUCCHpower-master | hHARQTableV2.m | .m | PUCCHpower-master/PUCCH Power/Model/hHARQTableV2.m | 1,425 | utf_8 | 8516c6df7207a48fe163ad804374995d | %hHARQTable HARQ process schedule
% HARQTABLE = hHARQTable() is the HARQ process schedule for 8 processes.
%
% HARQTABLE is an array of indices which are used to index a HARQ process
% on a subframe-by-subframe basis. Therefore HARQTABLE provides process
% indices for an integer number of frames. If a HARQ proc... |
github | ahbarnett/BIE3D-master | biperiodic3dlaplace.m | .m | BIE3D-master/doublyperiodic/biperiodic3dlaplace.m | 10,309 | utf_8 | ab7cf9512f456295ed801aeba37abbca | function biperiodic3dlaplace
% Evaluate the potential due to N monopoles or dipoles with bi-periodic Laplace
% kernel in 3D, & check periodicity. No quadrature yet. No FMM yet.
% Barnett 13/3/1 - 13/3/5. collab Wilkening.
%testDLPderiv, return
N = 1e3; v = 2; % problem size # source pts; verbosity (0,1,2,...)
fmm = 0... |
github | ahbarnett/BIE3D-master | dist_ellipsoid.m | .m | BIE3D-master/surfaces/dist_ellipsoid.m | 1,642 | utf_8 | eb8dd33570e132e1b2560fdd7f9205f9 | function [dist,z,lambda] = dist_ellipsoid(y,semiaxes)
% DIST_ELLIPSOID distance from point in 3D to standard ellipsoid
%
% [dist,z,lambda] = dist_ellipsoid(x,semiaxes) where semiaxes=[a b c], and
% x is point in R3,
% returns dist, point achieving it z, and lagrange multiplier lambda
% (lambda<0 and dist=0 if was ins... |
github | ahbarnett/BIE3D-master | dist_ellipsoids.m | .m | BIE3D-master/surfaces/dist_ellipsoids.m | 2,697 | utf_8 | 2b2811366098057e58f2b08599081b22 | function [d x y its] = dist_ellipsoids(E1,R1,t1,E2,R2,t2, abstol)
% DIST_ELLIPSOIDS find min dist between two ellipsoids
%
% [d x y] = dist_ellipsoids(E1,R1,t1,E2,R2,t2)
% finds dist between two ellipsoids, each defined by semiaxis list E,
% 3x3 rotation matrix R, and center vector t.
% d an estimate of the closest... |
github | ahbarnett/BIE3D-master | create_panels.m | .m | BIE3D-master/surfaces/create_panels.m | 6,522 | utf_8 | dc5eb69e4c292e3c4a5174100f8436f7 | function [pan N] = create_panels(shape,so,o)
% CREATE_PANELS Build panels for various 3D surface geometries
%
% [pan N] = create_panels(shape,shapeopts,convopts)
% Creates struct array of panels with their quadrature nodes for unknowns
%
% shape = 'torus': shapeopts has fields a (major radius), b (minor rad),
% ... |
github | ahbarnett/BIE3D-master | setup_torus_doubleptr.m | .m | BIE3D-master/surfaces/setup_torus_doubleptr.m | 1,607 | utf_8 | edee523849a548f0f015a7f8114c0650 | function s = setup_torus_doubleptr(a,b,Ns)
% SETUP_TORUS_DOUBLEPTR. analytic torus-like 3D surf w/ global double-PTR quad
%
% s = setup_torus_doubleptr(a,b,Ns) creates double-PTR global quadrature
% of a (possibly radius-modulated) torus. See modulatedtorus for geometry (a,b)
% and setupdoubleptr for Ns. Now only a ... |
github | ahbarnett/BIE3D-master | data_planewave.m | .m | BIE3D-master/timedomainwaveeqn/data_planewave.m | 1,327 | utf_8 | 6b9bf2f3708b9150f10a0b1b9375b4cb | function [f,fn,ft] = data_planewave(incdir,T,Tt,t,x,nx)
% DATA_PLANEWAVE eval data f, fn, ft for plane wave solution to 3D wave eqn.
%
% [f,fn,ft] = data_planewave(incdir,T,Tt,t,x,nx)
%
% Inputs:
% t - 1*n array of target times, or a single time
% x, nx - 3*n arrays of target points and normal derivs (nx is optional... |
github | ahbarnett/BIE3D-master | tdSDinterpmats_panels.m | .m | BIE3D-master/timedomainwaveeqn/tdSDinterpmats_panels.m | 10,158 | utf_8 | 06486ec8806f0e4f1240a93b3f45eea1 | function [Sret Dret Sdotret] = tdSDinterpmats_panels(tpan,span,Linfo,intinfo)
%
% [Sret Dret Sdotret] = tdSDinterpmats_panels(tpan,span,Linfo,intinfo)
%
% eval p^2-by-NT matrices which apply retarded S,D, and S(d/dt) ops from dens
% hist grids
%
% where N is # dofs in all src pans.
%
% tpan - target "panel" (ie has ... |
github | ahbarnett/BIE3D-master | maxeigpowermeth.m | .m | BIE3D-master/timedomainwaveeqn/maxeigpowermeth.m | 1,375 | utf_8 | 08eb0897edf6e765ee340fbabb4b4714 | function rho = maxeigpowermeth(Afun,N,its,pad)
% MAXEIGPOWERMETH. Estimate largest eigenvalue magnitude of linear operator
%
% rho = maxeigpowermeth(Afun,N,its,pad) estimates largest eigenvalue
% magnitude of N*N matrix applied by mat-vec function handle Afun.
% its iterations are used, and the slope estimates using ... |
github | ahbarnett/BIE3D-master | data_ptsrc.m | .m | BIE3D-master/timedomainwaveeqn/data_ptsrc.m | 1,408 | utf_8 | d01a5c1d44131f033b9f7c68f7a9f697 | function [f,fn,ft] = data_ptsrc(xs,T,Tt,t,x,nx)
% DATA_PTSRC eval data f, fn, ft for fixed-loc t-dep pt src, 3D wave equation.
%
% [f,fn,ft] = data_ptsrc(xs,T,Tt,t,x,nx)
%
% Inputs:
% t - 1*n array of target times, or a single time
% x, nx - 3*n arrays of target points and normal derivs (nx is optional)
% xs - 3*1 ... |
github | ahbarnett/BIE3D-master | test_volterra.m | .m | BIE3D-master/timedomainwaveeqn/timeinterp/test_volterra.m | 4,109 | utf_8 | fc1661b9da761f07e172fe270d7983ac | function test_volterra(verb)
% test_volterra(verb)
% verb = 0: text only, 1: check p-conv of Gauss & final fig, 2: more figs
%
% solve simple single-variable Volterra IE via simplified pred-corr variants,
% and Hagstrom spline weights (interpmat call).
%
% We solve u(t) + int_{t-1}^t u(s) ds = f(t), for all t
% ie... |
github | ahbarnett/BIE3D-master | fig_volterra.m | .m | BIE3D-master/timedomainwaveeqn/paper/fig_volterra.m | 4,610 | utf_8 | bc843225375c81e9f74c690db87337fe | % figure script for Volterra IE convergence for time-interp pred-corr scheme
% Barnett 11/14/18, just a m-loop (note m=2q) around test_volterra.m
%
% We solve u(t) + int_{t-1}^t u(s) ds = f(t), for all t
% ie 2nd-kind Volterra w/ unit top-hat kernel from 0 to 1 unit into the past.
% f(t) is built to match to the G... |
github | ahbarnett/BIE3D-master | legnum.m | .m | BIE3D-master/timedomainwaveeqn/paper/legnum.m | 1,054 | utf_8 | f51b73a86475200e52f77a4ee0f812b0 | %
% LEGNUM Legend current figure using array of numbers.
% LEGNUM(X) adds a legend to current figure using string
% representations of the numbers in X. If X is a two- or multi-dimensional
% array, it will be flattened and all elements will be included.
%
% LEGNUM(X, P) is the same but uses precision P, whe... |
github | ahbarnett/BIE3D-master | num2cellstr.m | .m | BIE3D-master/timedomainwaveeqn/paper/num2cellstr.m | 1,109 | utf_8 | 5e536c4e08e2f15f725a04d83315cf69 | %
% NUM2CELLSTR convert array of floating-point numbers to cell array of strings
% NUM2CELLSTR(X) converts array X to cell array of strings.
% If X is a two- or multi-dimensional array, it will be
% flattened (all elements will still be included).
%
% NUM2CELLSTR(X, P) is the same but uses precision P, wher... |
github | ahbarnett/BIE3D-master | showsurf.m | .m | BIE3D-master/utils/showsurf.m | 2,709 | utf_8 | d2534385e8dba393f2ed5a98c51de4ce | function [h h2] = showsurf(s,c,o)
% SHOWSURF. Plot nodes in a 3D surface struct, and possibly normals.
%
% h = showsurf(s) plots in 3D, on current figure, the points s.x,
% with normals given by s.nx, returning a graphics handle h to the points.
%
% h = showsurf(s,c) uses the color character in c.
%
% h = showsurf(s,... |
github | ahbarnett/BIE3D-master | gauss.m | .m | BIE3D-master/utils/gauss.m | 310 | utf_8 | 6fa87174dd0fbca1d16fbd664f228143 | % GAUSS nodes x (Legendre points) and weights w
% for Gauss quadrature on [-1,1], for N small (<100). From Trefethen book
% [x,w] = gauss(N)
function [x,w] = gauss(N)
beta = .5./sqrt(1-(2*(1:N-1)).^(-2));
T = diag(beta,1) + diag(beta,-1);
[V,D] = eig(T);
x = diag(D); [x,i] = sort(x);
w = 2*V(1,i).^2;
|
github | ahbarnett/BIE3D-master | tensorprod_interp.m | .m | BIE3D-master/utils/tensorprod_interp.m | 1,203 | utf_8 | 231826ef90f684fe79045b3079488258 | function L = tensorprod_interp(t,s1,s2)
% TENSORPROD_INTERP build interpolation matrix from 2D tensor-prod to arb pts
%
% L = tensorprod_interp(t,s1,s2)
% Inputs: t - (2-by-m) target pts in some rectangle
% s1,s2 - (length p vectors) nodes in each direction for interp from
% Outputs: L - (m-by-p^2) den... |
github | ahbarnett/BIE3D-master | setupdoubleptr.m | .m | BIE3D-master/utils/setupdoubleptr.m | 2,313 | utf_8 | 0809c3c76bdfa85e3a7ce20d0e31f953 | function s = setupdoubleptr(s,Ns)
% SETUPDOUBLEPTR. Add double-PTR node info to an analytic 3D torus-like surface
%
% s = setupdoubleptr(s,N) where N = [Nu Nv] adds a Nu*Nv double periodic
% trapezoid rule quadrature to a torus-like global surface defined by funcions
% s.Z(u,v) - the defining global map from u,v in ... |
github | ahbarnett/BIE3D-master | peri2dspecinterp.m | .m | BIE3D-master/utils/peri2dspecinterp.m | 2,277 | utf_8 | b279fdffb9874e2e1634ec5acd1d09d2 | function g = peri2dspecinterp(f,N)
% PERI2DSPECINTERP resample doubly-periodic grid-sampled function to new grid.
%
% g = peri2dspecinterp(f,[N1 N2])
% inputs: f - rect array n1*n2 (must both be even) of input samples,
% N1,N2 - desired dimensions of samples (both even)
% outputs: g - rect array N1*N2 of int... |
github | ahbarnett/BIE3D-master | intxperiinterp.m | .m | BIE3D-master/utils/intxperiinterp.m | 4,973 | utf_8 | 4a3a1834cc4f871d8baf959345544a62 | function g = intxperiinterp(f,N,Y,n,y,sphere)
% INTXPERIINTERP resample 2d func on interval cross periodic to new grid.
%
% g = intxperiinterp(f,N,Y,n,y) spectrally resamples smooth f given on (x,y) in
% [0,2pi)x[-1,1] at the 2d nodes of the following form:
% y=+1
% . . . . . . . . . <- n(3) pts on... |
github | ahbarnett/BIE3D-master | setupspherequad.m | .m | BIE3D-master/utils/setupspherequad.m | 5,708 | utf_8 | f34f770de1636f33785f438d7b92edcf | function s = setupspherequad(s,Ns,o)
% SETUPSPHEREQUAD. Add PTRxGL node info to an analytic 3D sphere-like surface
%
% s = setupspherequad(s,Ns) where Ns = [Nu Nv] adds a spectral quadrature,
% periodic trapezoid rule on each ring in u, for each node of a Gauss-Legendre
% rule in v. The surface must be of type topo=... |
github | ahbarnett/BIE3D-master | checkgrad.m | .m | BIE3D-master/utils/checkgrad.m | 981 | utf_8 | 4cb4d0e9b63433ec49c01377a1145e10 | function err = checkgrad(f,df)
% CHECKGRAD verify an function in R3 has correct analytic gradient
%
% err = checkgrad(f,df) returns error between finite-differencing approx to
% grad f and the function df. f is a function handle taking a stack of m 3-cpt
% col vecs and returning a row vec of m values. df only need ... |
github | ahbarnett/BIE3D-master | intxperiinterpmat.m | .m | BIE3D-master/utils/intxperiinterpmat.m | 4,837 | utf_8 | f49e4973e2f8e7277dc08f788a8f809c | function A = intxperiinterpmat(N,Y,n,y,sphere)
% INTXPERIINTERPMAT Matrix that resamples 2d func on interval cross periodic.
%
% L = intxperiinterpmat(N,Y,n,y) returns the sum(N)-by-sum(n) dense matrix that
% when acting on a smooth vector of values on a spectral grid on (x,y) in
% [0,2pi)x[-1,1], returns the vector ... |
github | ahbarnett/BIE3D-master | dist_pointclouds.m | .m | BIE3D-master/utils/dist_pointclouds.m | 2,244 | utf_8 | 8e263dd39e9147f9faad8dac45377675 | function [d x y i j] = dist_pointclouds(b1,b2,meth)
% DIST_POINTCLOUDS find min dist between two sets of points
%
% [d x y i j] = dist_pointclouds(b1,b2) where b1, b2 are objects with
% fields x giving 3xN array of points in R3, returns
% d = dist(b1,b2) an estimate of the closest distance, and x,y the pair
% achiev... |
github | ahbarnett/BIE3D-master | interpmat_1d.m | .m | BIE3D-master/utils/interpmat_1d.m | 1,390 | utf_8 | 40d127c3c9a8666cfc90ecfe8c8a9758 | function L = interpmat_1d(t,s)
% INTERPMAT_1D interpolation matrix from nodes in 1D to target nodes
%
% L = interpmat_1d(t,s) returns interpolation matrix taking values on nodes s
% to target nodes t. Computed in Helsing style.
% bits taken from qplp/interpmatrix.m from 2013.
% Barnett 7/17/16. Auto-centering & sca... |
github | ahbarnett/BIE3D-master | showpanel.m | .m | BIE3D-master/utils/showpanel.m | 1,249 | utf_8 | a285e76ece50a289a4ad0d97a06ebfa2 | function h = showpanel(s,varargin)
% SHOWPANEL. Plot a panel, or list of panels, onto current figure
%
% h = showpanel(s) where s is a panel struct plots the panel boundary
% on current figure, returning plot handle to lines.
% If s is cell array of panels, shows all, and returns col vec of handles.
% Barnett 11/20... |
github | ahbarnett/BIE3D-master | showsurffunc.m | .m | BIE3D-master/utils/showsurffunc.m | 4,261 | utf_8 | 9ad0e3f0c140875b163a6e0120ef8da9 | function [h h2] = showsurffunc(s, f, o)
% SHOWSURFFUNC show real-valued scalar func on surface (torus-like for now)
%
% [h h2] = showsurffunc(s, f, o) plots a 3D surface with colorscale indicating
% value of the function f defined on the nodes of the quadrature in s.
%
% Inputs:
% s = either: cell array of quad pan... |
github | ahbarnett/BIE3D-master | Lap3dSLPmat.m | .m | BIE3D-master/kernels/Lap3dSLPmat.m | 1,826 | utf_8 | 027d166999d78cd5c8906214f515cab3 | function [A An] = Lap3dSLPmat(t,s)
% LAP3DSLPMAT. dense Laplace SLP Nystrom eval matrix from sources to targets
%
% [A An] = Lap3dSLPmat(t,s)
%
% Inputs:
% s - source surface struct with fields:
% x (3*N) nodes, w (1*N) quadr weights
% t - target struct with fields:
% x (3*N) nodes, and, if An requested, n... |
github | ahbarnett/BIE3D-master | LapDeval_panels.m | .m | BIE3D-master/kernels/LapDeval_panels.m | 5,970 | utf_8 | faf04d5b7e80b8d37f521cf2fc20984b | function u = LapDeval_panels(tpan,span,dens,paninfo)
% LAPDEVAL_PANELS evaluate Laplace DLP from surface in R3, incl on-surface
%
% u = LapDeval_panels(t,s,dens,paninfo)
%
% Called with no arguments does a self-test (see bottom of code for usage)
%
% s,t are src and targ panel cell arrays. t doesn't need valid t.inds ... |
github | ahbarnett/BIE3D-master | LapSeval_panels.m | .m | BIE3D-master/kernels/LapSeval_panels.m | 4,404 | utf_8 | dc74d04cd6fe6842bd3a45a3900a0bfb | function u = LapSeval_panels(tpan,span,dens,paninfo)
% LAPSEVAL_PANELS evaluate Laplace SLP from surface in R3, incl on-surface
%
% u = LapSeval_panels(t,s,dens,paninfo)
%
% Called with no arguments does a self-test (see bottom of code for usage)
%
% s,t are src and targ panel cell arrays. t doesn't need valid t.inds ... |
github | ahbarnett/BIE3D-master | Lap3dDLPmat.m | .m | BIE3D-master/kernels/Lap3dDLPmat.m | 2,537 | utf_8 | a06206ad463ce060addaa07173678825 | function [A An] = Lap3dDLPmat(t,s)
% LAP3DDLPMAT. dense Laplace DLP Nystrom eval matrix from sources to targets
%
% [A An] = Lap3dDLPmat(t,s)
%
% Inputs:
% s - source surface struct with fields:
% x (3*N) nodes, nx (3*N) unit normals, w (1*N) quadr weights
% t - target struct with fields:
% x (3*N) nodes, ... |
github | ahbarnett/BIE3D-master | RetDeval_panels.m | .m | BIE3D-master/kernels/RetDeval_panels.m | 3,618 | utf_8 | a426fc95bf59c0d80d355c950fdc516f | function u = RetDeval_panels(tpan,span,dens,paninfo)
% RETDEVAL_PANELS evaluate extra retarded wave eqn DLP term from surface in R3
% NOT YET incl on-surface
%
% u = RetDeval_panels(t,s,dens,paninfo)
%
% Called with no arguments does a self-test (see bottom of code for usage)
%
% dens is time deriv of retarded density... |
github | ahbarnett/BIE3D-master | add_panels_auxquad.m | .m | BIE3D-master/singquad/add_panels_auxquad.m | 2,240 | utf_8 | ad6366dea81d13940f8be9a1850d6c86 | function pan = add_panels_auxquad(pan, o)
% pan = add_panels_auxquad(pan, o) adds auxiliary quadr nodes for each target
% in each of a set of panels.
%
% Inputs:
% pan = cell array of panels.
% o = opts struct to panel_sing_auxquad
%
% Adds fields to each panel pan{k} in the output struct:
% naux - number of aux... |
github | ahbarnett/BIE3D-master | setup_auxinterp.m | .m | BIE3D-master/singquad/setup_auxinterp.m | 3,787 | utf_8 | f8361d86762f89aa3127eb9a054ad412 | function I = setup_auxinterp(tt,o)
% SETUP_AUXINTERP build interpolation matrices from near panels to aux nodes
%
% I = setup_auxinterp(tt,o) returns a struct giving interp matrices from smooth
% quadrature to auxiliary nodes, all in standard panels [-1,1] in param
% space.
% Assumes tt is tensor product node... |
github | ahbarnett/BIE3D-master | panel_sing_auxquad.m | .m | BIE3D-master/singquad/panel_sing_auxquad.m | 4,736 | utf_8 | 97e11832be2be663b3156f0179621474 | function [z w] = panel_sing_auxquad(targs,o)
% PANEL_SING_AUXQUAD Auxiliary singular quadrature nodes in parameter plane
%
% [z w] = panel_sing_auxquad(targs,par) spits out auxiliary quadrature nodes and
% weights for singular kernels with singularity no worse than 1/r on a 3x3
% near panel neighborhood in the par... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_combineBehav1.m | .m | wmDrop_mFiles-master/wmDrop_combineBehav1.m | 1,474 | utf_8 | 8c01c44146798b8e6d44ac5e2606deb3 | % wmDrop_combineBehav1.m
%
% combines behavioral data (recall error) across all runs for each subj
%
%
% TCS 1/12/2015
function wmDrop_combineBehav1(subj)
root = load_root;%'/usr/local/serenceslab/tommy/wmDrop/';
if ~exist([root 'wmDrop_combinedBehav'],'dir');
fprintf('Creating directory: %s\n',[root 'wmDrop_com... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_concatenateBehav_scanner.m | .m | wmDrop_mFiles-master/wmDrop_concatenateBehav_scanner.m | 2,534 | utf_8 | 5d725b9c6a5bad93e626d39fc2b8a593 | % wmDrop_concatenateBehav_scanner.m
%
% combines all behavioral files into a single file per session, saves into
% wmDrop_behav
%
% TCS 5/4/2015
function wmDrop_concatenateBehav_scanner(subj)
root = load_root;%'/usr/local/serenceslab/tommy/wmDrop/';
if nargin < 1
subj = {'AI81','AI82','AI83','AP81','AP82','AP83'... |
github | tommysprague/wmDrop_mFiles-master | make_hex.m | .m | wmDrop_mFiles-master/make_hex.m | 934 | utf_8 | 500946dd5013b919957521c029593b72 | % make_hex
%
% requires an odd integer, makes a heaxagonal grid w/ that integer number
% of rows/that integer wide
%
%
function [x, y] = make_hex(n)
if mod(n,2)==0
x = NaN;
y = NaN;
error('hexMap:invalidInput','Input must be an odd integer');
end
step_size = 2/(n-1); % normalized so horizontal axis is... |
github | tommysprague/wmDrop_mFiles-master | make_stim_mask.m | .m | wmDrop_mFiles-master/make_stim_mask.m | 646 | utf_8 | a6447ac8a9217d0c97ec83cd14251b7e | % make_stim_mask.m
%
% Creates a mask of a round stimulus for each stimulus (trial), which is an
% element of stimX, stimY, each is stim_size (either a single value or row
% the same length as stimX and stimY), evaluated at [xx yy], which is
% reshaped into columns, so return is n_stimpts x length(stimX)
function s... |
github | tommysprague/wmDrop_mFiles-master | build_basis_pts.m | .m | wmDrop_mFiles-master/build_basis_pts.m | 706 | utf_8 | 068030df88f924a8eaa2f90d47f4d4c6 | % build_basis_pts.m
% builds basis set given just a list of rf points, basis fcn sizes, and x,y grid along which to evaluate
% (doesn't assume grid of RFs, etc)
%
% built for wmDrop - hexagonal basis set
%
% allows for mutliple filter sizes, could use for multiscale RF estimation
%
% assumes we're using make2dcos....
... |
github | tommysprague/wmDrop_mFiles-master | fdr.m | .m | wmDrop_mFiles-master/fdr.m | 2,273 | utf_8 | 0339630d5b76067fde504d464d26a9bf | % fdr() - compute false detection rate mask
%
% Usage:
% >> [p_fdr, p_masked] = fdr( pvals, alpha);
%
% Inputs:
% pvals - vector or array of p-values
% alpha - threshold value (non-corrected). If no alpha is given
% each p-value is used as its own alpha and FDR corrected
% array is ret... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_hexMap.m | .m | wmDrop_mFiles-master/stimulusPresentation/wmDrop_hexMap.m | 28,031 | utf_8 | 326e1f9a570b8c22cdc5e2623d963df5 | % 295 s - 131 TRs @ 2.25 sec/TR (per attn/spatial condition)
function wmDrop_hexMap
% wmDrop Localizer - adapted from map2dAttn_flicker4.m
%
% instead of grid of mapping positions, now present stimuli along a
% hexagonal grid which is offset a different amount each run
%
% to distribute null trials:
% ... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_recall_1d.m | .m | wmDrop_mFiles-master/stimulusPresentation/wmDrop_recall_1d.m | 38,798 | utf_8 | 3bd19d2d83a8247c3c05aaa4c820b0fe |
function wmDrop_recall_1d
% adapted from wmDrop_recall.m
%
% now uses a recall task - thin bar appears on screen at end of each trial,
% must adjust it to match the given coordinate of target as best as
% possible
% - remember 1, remember 2, drop
%
%
% 8 s delay - delay 1
% 8 s delay - delay 2
%
%... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_localizer.m | .m | wmDrop_mFiles-master/stimulusPresentation/wmDrop_localizer.m | 27,623 | utf_8 | f679ebe941b12f8f3ca03e8968d7ed70 | % 372 s + 5 TRs - (171 TRs @ 2250 ms)
function wmDrop_localizer %manual
%
% this will be used for masking of spatial responses in early regions
addpath('../parallel_tools');
%% get user input about sub name etc...
mygreen = [0 220 0];
myred = [255 0 0];
mygray = [65 65 65]; % fix this one
warni... |
github | tommysprague/wmDrop_mFiles-master | wmDrop_hexMap_fixed.m | .m | wmDrop_mFiles-master/stimulusPresentation/wmDrop_hexMap_fixed.m | 28,418 | utf_8 | cd5389f5fcd71309f679e76f2ec544e4 | % 295 s - 131 TRs @ 2.25 sec/TR (per attn/spatial condition)
function wmDrop_hexMap_fixed
% wmDrop Localizer - adapted from map2dAttn_flicker4.m
%
% instead of grid of mapping positions, now present stimuli along a
% hexagonal grid which is offset a different amount each run
%
% NOTE: this is the "corre... |
github | tommysprague/wmDrop_mFiles-master | gridfit_noregress.m | .m | wmDrop_mFiles-master/gridfit/gridfit_noregress.m | 2,382 | utf_8 | f0f7027480bfaecc668032bb1ab8c6df | % gridfit_noregress.m
% TCS 2/9/2015, adapted from gridfit.m
function [bf_params, err, bf_fcn] = gridfit_noregress(data,grid,grid_params,use_gpu)
% data should be datapts x things to fit (e.g., voxels)
% grid should be datapts x predictors
% grid_params is the params used to make grid - just used to output
% bf_params... |
github | tommysprague/wmDrop_mFiles-master | gridfit.m | .m | wmDrop_mFiles-master/gridfit/gridfit.m | 2,612 | utf_8 | 59aa9412ff3d554b49d60940fac4c86f | % gridfit.m
function [bf_params, err, bf_fcn] = gridfit(data,grid,grid_params,amp_range,use_gpu,use_parfor)
% data should be datapts x things to fit (e.g., voxels)
% grid should be datapts x predictors
% grid_params is the params used to make grid - just used to output
% bf_params including [a b] as the last two para... |
github | tommysprague/wmDrop_mFiles-master | gridfit_finetune.m | .m | wmDrop_mFiles-master/gridfit/gridfit_finetune.m | 1,784 | utf_8 | ccafdf2c6162306ab9c64018bbcc567f | % gridfit_finetune.m
function [bf_ft,bf_err,bf_fcn,ex_flag] = gridfit_finetune(data,fitfcn,bf_grid,evalpts)
% refines fits computed with gridfit.m using fminsearch and fitfcn, which
% is used here to generate an error function (root mean squared error)
%
% data formatted like gridfit.m:
% - data: n_datapts x n_things... |
github | tommysprague/wmDrop_mFiles-master | gridfit_finetune_constr.m | .m | wmDrop_mFiles-master/gridfit/gridfit_finetune_constr.m | 3,245 | utf_8 | 429f384778a4fd16e0f12b3fbcf582e7 | % gridfit_finetune.m
function [bf_ft,bf_err,bf_fcn,ex_flag] = gridfit_finetune_constr(data,fitfcn,bf_grid,evalpts,constr,use_parfor)
% refines fits computed with gridfit.m using fminsearch and fitfcn, which
% is used here to generate an error function (root mean squared error)
%
% data formatted like gridfit.m:
% - d... |
github | mattdunlop/bayes-hier-master | ell.m | .m | bayes-hier-master/ell.m | 495 | utf_8 | 95829194f11a3b536727724164facfca | % Define the forward map, mapping the geometric field into the observation
% space.
function l = ell(S,model)
% Identity model
if strcmp(model,'id')
l = model_id(S);
% Groundwater flow model
elseif strcmp(model,'gwf')
l = model_gwf(S);
% EIT... |
github | mattdunlop/bayes-hier-master | gaussrnd.m | .m | bayes-hier-master/gaussrnd.m | 694 | utf_8 | 87802de70e3ea36d44e526a95675be99 | % Return a sample of a Gaussian random field on [0,1]^2 with:
% mean 0
% covariance operator C = (-Delta + tau^2)^(-alpha)
% where Delta is the Laplacian with zero Neumann boundary conditions.
% Returned is an N^2x1 vector of Fourier cosine coefficients, so that
% U = idct2(reshape(L,N,N)) is the sample in... |
github | mattdunlop/bayes-hier-master | make_lvl.m | .m | bayes-hier-master/make_lvl.m | 525 | utf_8 | 8fa78caab8b8119db8a6710567838681 | % The construction map taking a level set field U to a piecewise constant
% geometric field V, with scaling of relative levels by the lengthscale
% tau.
% The example here is for three phases/two thresholding levels.
function V = make_lvl(U,tau,alpha)
d = 2; % Spatial dimension
c = 0.1*tau^(d/2-alpha)*[1,-1... |
github | francisc0garcia/Path_Planning_Simulator-master | RobotSimulation.m | .m | Path_Planning_Simulator-master/RobotSimulation.m | 19,465 | utf_8 | 1bbfbcb17d7a66ccd80d4628e51353a7 | function varargout = RobotSimulation(varargin)
% ROBOTSIMULATION MATLAB code for RobotSimulation.fig
% ROBOTSIMULATION, by itself, creates a new ROBOTSIMULATION or raises the existing
% singleton*.
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Na... |
github | francisc0garcia/Path_Planning_Simulator-master | rrtExtend.m | .m | Path_Planning_Simulator-master/rrtExtend.m | 2,128 | UNKNOWN | 62328e115ad1dc8bb25bed2d3e49ad7c | % � Rahul Kala, IIIT Allahabad, Creative Commons Attribution-ShareAlike 4.0 International License.
% The use of this code, its parts and all the materials in the text; creation of derivatives and their publication; and sharing the code publically is permitted without permission.
% Please cite the work in all material... |
github | francisc0garcia/Path_Planning_Simulator-master | ex_guide_timergui.m | .m | Path_Planning_Simulator-master/ex_guide_timergui.m | 7,074 | utf_8 | 97496ac8a7d192422aa0dd070017f021 | function varargout = ex_guide_timergui(varargin)
% EX_GUIDE_TIMERGUI - Execute graphic updates at regular intervals
% MATLAB code for ex_guide_timergui.fig
% EX_GUIDE_TIMERGUI, by itself, creates a new EX_GUIDE_TIMERGUI
% or raises the existing singleton*.
%
% H = EX_GUIDE_TIMERGUI returns the handle ... |
github | nagimov/cyclotron-cryopanel-master | props_thp.m | .m | cyclotron-cryopanel-master/issue_20/props_thp.m | 1,593 | utf_8 | 60fa484108698bf37912b3f75848dd36 | function eval = props_thp(h,p,Name,lib)
% LOOP
if size(h) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(h);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_thp(h(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | props_uhp.m | .m | cyclotron-cryopanel-master/issue_20/props_uhp.m | 1,549 | utf_8 | a2a3a68e8bb9e055362b0d3ae858cd94 | function eval = props_uhp(h,p,Name,lib)
% LOOP
if size(h) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(h);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_uhp(h(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | props_htp.m | .m | cyclotron-cryopanel-master/issue_20/props_htp.m | 651 | utf_8 | a833ce101d5a554c286d47976473d86b | function eval = props_htp(T,p,Name,lib)
% LOOP
if size(T) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(T);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_htp(T(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | heateq.m | .m | cyclotron-cryopanel-master/issue_08/heateq.m | 1,480 | utf_8 | 5b83685cc0dfc7aa011c370488838398 | function [x,fval,exitflag] = heateq(j)
global mid last Tsol delta_t
options = optimset('TolX', 1e-9, 'TolFun', 1e-9, ...
'MaxFunEvals', 1e7, 'MaxIter', 1e7, 'Display', 'off');
x0 = Tsol(j-1,:);
[x,fval,exitflag] = fsolve ( @eqgen , x0 , options);
function F = eqgen(T) %Here F compute difference between ou... |
github | nagimov/cyclotron-cryopanel-master | props_thp.m | .m | cyclotron-cryopanel-master/issue_25/props_thp.m | 1,593 | utf_8 | 60fa484108698bf37912b3f75848dd36 | function eval = props_thp(h,p,Name,lib)
% LOOP
if size(h) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(h);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_thp(h(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | props_uhp.m | .m | cyclotron-cryopanel-master/issue_25/props_uhp.m | 1,549 | utf_8 | a2a3a68e8bb9e055362b0d3ae858cd94 | function eval = props_uhp(h,p,Name,lib)
% LOOP
if size(h) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(h);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_uhp(h(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | props_htp.m | .m | cyclotron-cryopanel-master/issue_25/props_htp.m | 651 | utf_8 | a833ce101d5a554c286d47976473d86b | function eval = props_htp(T,p,Name,lib)
% LOOP
if size(T) == size(p) %Check to ensure input matrices are the same size
[N, M] = size(T);
eval = zeros(N, M);
for i = 1 : N
for j = 1 : M
eval(i,j) = prop_htp(T(i,j), p(i,j), Name, lib);
end
end
else
... |
github | nagimov/cyclotron-cryopanel-master | heateq.m | .m | cyclotron-cryopanel-master/issue_09/heateq.m | 1,656 | utf_8 | 4fdd1610e3afe3dc405f4feab676e9bd | function [x,fval,exitflag] = heateq(j) %Time iteration
global mid last Hsol delta_t p
options = optimset('TolX', 1e-7, 'TolFun', 1e-7, ...
'MaxFunEvals', 1e7, 'MaxIter', 1e7, 'Display', 'iter');
x0 = Hsol(j-1,:);
[x,fval,exitflag] = fsolve ( @eqgen , x0 , options);
%[],[],[],[],[],[],[],
function F = eqgen(H... |
github | fahimferoje/ECG-Signal-Analyzer-master | menu_bar.m | .m | ECG-Signal-Analyzer-master/menu_bar.m | 3,725 | utf_8 | 5efbabbe5544db9760bbccd5963bdc33 | function varargout = menu_bar(varargin)
% MENU_BAR MATLAB code for menu_bar.fig
% MENU_BAR, by itself, creates a new MENU_BAR or raises the existing
% singleton*.
%
% H = MENU_BAR returns the handle to a new MENU_BAR or the handle to
% the existing singleton*.
%
% MENU_BAR('CALLBACK',hObject,ev... |
github | fahimferoje/ECG-Signal-Analyzer-master | ECG_Analyzer.m | .m | ECG-Signal-Analyzer-master/ECG_Analyzer.m | 6,048 | utf_8 | 089c85a306dc7614242f5807b9ee4196 | function varargout = ECG_Analyzer(varargin)
% ECG_ANALYZER MATLAB code for ECG_Analyzer.fig
% ECG_ANALYZER, by itself, creates a new ECG_ANALYZER or raises the existing
% singleton*.
%
% H = ECG_ANALYZER returns the handle to a new ECG_ANALYZER or the handle to
% the existing singleton*.
%
% EC... |
github | fahimferoje/ECG-Signal-Analyzer-master | browse.m | .m | ECG-Signal-Analyzer-master/browse.m | 5,846 | utf_8 | c42bfa92efd568a68f53b27adffed5fe | function varargout = browse(varargin)
% BROWSE MATLAB code for browse.fig
% BROWSE, by itself, creates a new BROWSE or raises the existing
% singleton*.
%
% H = BROWSE returns the handle to a new BROWSE or the handle to
% the existing singleton*.
%
% BROWSE('CALLBACK',hObject,eventData,handles,... |
github | fahimferoje/ECG-Signal-Analyzer-master | guidefirst.m | .m | ECG-Signal-Analyzer-master/guidefirst.m | 5,646 | utf_8 | 3b0697d1f916f9467046052ab5a30116 | function varargout = guidefirst(varargin)
% GUIDEFIRST MATLAB code for guidefirst.fig
% GUIDEFIRST, by itself, creates a new GUIDEFIRST or raises the existing
% singleton*.
%
% H = GUIDEFIRST returns the handle to a new GUIDEFIRST or the handle to
% the existing singleton*.
%
% GUIDEFIRST('CALL... |
github | SMASHtoolbox/release-master | loadSMASH.m | .m | release-master/loadSMASH.m | 9,689 | utf_8 | 8a34c0440aedb8a5eef066e4dd422efd | % loadSMASH Make toolbox items available to MATLAB
%
% This function makes items from the SMASH toolbox available to MATLAB.
%
% Toolbox programs are added to the MATLAB path.
% loadSMASH -program name % specific program
% loadSMASH -program name1 name2 % multiple programs
% loadSMASH -program * % all pr... |
github | SMASHtoolbox/release-master | smashroot.m | .m | release-master/smashroot.m | 545 | utf_8 | f6d8ff523d6ff357ab55b40da42262e3 | % smashroot Root directory for the SMASH toolbox
%
% This function returns the system-dependent root directory for the SMASH
% toolbox.
% location=smashroot();
% The root directory is printed in the command window when no output is
% requested.
% smashroot();
%
% See also SMASHtoolbox
%
%
% created December 23, ... |
github | SMASHtoolbox/release-master | SMASHtoolbox.m | .m | release-master/SMASHtoolbox.m | 1,358 | utf_8 | f4837016bc0879fab4f6f2321ce55755 | %
% notes
function varargout=SMASHtoolbox(varargin)
% manage input
if nargin == 0
loadSMASH();
elseif strcmpi(varargin{1},'-version')
if nargout == 0
aboutSMASH();
else
varargout{1}=aboutSMASH();
end
end
end
%%
function varargout=aboutSMASH(varargin)
location=mfilename('fullpath');
[l... |
github | SMASHtoolbox/release-master | aboutSMASH.m | .m | release-master/aboutSMASH.m | 1,507 | utf_8 | 13abbad9cbcc13cb7b218afe5e4997eb | % This function displays version information for the SMASH toolbox.
% Information can be displayed in the command window:
% >> aboutSMASH
% or returned in a structure.
% >> a=aboutSMASH;
%
% See also SMASH
%
%
% created May 15, 2014 by Daniel Dolan (Sandia National Laboratories)
% revised November 17, 2014 by D... |
github | SMASHtoolbox/release-master | installSMASH.m | .m | release-master/installSMASH.m | 3,948 | utf_8 | 239cef628e18d3ae12455d755f343b13 | % installSMASH Install SMASH toolbox
%
% To install the SMASH toolbox, launch this function from the toolbox
% directory.
% installSMASH
% A warning is generated if the toolbox is already installed. To bypass
% this warning and reinstall the toolbox, type:
% installSMASH -force
% Installation makes the toolbox ... |
github | SMASHtoolbox/release-master | installSMASH.m | .m | release-master/install/installSMASH.m | 4,606 | utf_8 | 0dd351cefbb171a46c6d4e306ade82b4 | % installSMASH Install SMASH toolbox
%
% This function installs the SMASH toolbox.
% installSMASH
% The user is prompted to accept the default location or specify an
% alternative. A warning is generated if the toolbox is already installed.
% To bypass this warning and reinstall the toolbox, type:
% installSMASH ... |
github | SMASHtoolbox/release-master | PointVISAR.m | .m | release-master/programs/PointVISAR/PointVISAR.m | 2,403 | utf_8 | 3d8b9806c37ace720cd6813385546a8d | % PointVISAR : VISAR analysis program
%
% For more information, type PointVISAR -help
% created 4/11/2006 by Daniel Dolan
% last modified 1/24/2007 by Daniel Dolan
% last modified 4/24/2011 by Daniel Dolan
function varargout=PointVISAR(varargin)
% separate flags from file names
file={};
arg={};
for ii=... |
github | SMASHtoolbox/release-master | ReadEditRecordGUI.m | .m | release-master/programs/PointVISAR/private/ReadEditRecordGUI.m | 20,221 | utf_8 | c1a6a1e2b61e4c497199da2e91903e3b | % read/edit records for PointVISARGUI
%%%%%%%%%%%%%%%%
% main routine %
%%%%%%%%%%%%%%%%
function fig=ReadEditRecordGUI(record)
% input check
if nargin<1
record=[];
end
fig=findobj('Tag','PointVISAR:ReadEditRecord');
if ishandle(fig) % GUI already exists--make active
figure(fig);
else % genera... |
github | SMASHtoolbox/release-master | AbsolutePath.m | .m | release-master/programs/PointVISAR/private/AbsolutePath.m | 1,055 | utf_8 | 3da08d84073c66159d14d802b11d2146 | % AbsolutePath : determine absolute path of a file
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function func=AbsolutePath(filename,sourcepath)
% input check
if nargin<1
error('Error: no file name specified');
end
if nargin<2
sourcepath='';
end
% default value(s)
if isempty(sourcepath)
sourcepath=pwd... |
github | SMASHtoolbox/release-master | digread.m | .m | release-master/programs/PointVISAR/private/digread.m | 1,579 | utf_8 | 6db078678ff1d5af5b616c2cc402f678 | % digread : Read DIG binary files
%
% Usage:
% [signal,time,info]=digread(filename);
%
% If the no input is specified, the user will be prompted for a file name
% by a dialog box. The signal and its time base are stored as 1D arrays in
% the first two outputs (respectively). Additional information is returned
% as ... |
github | SMASHtoolbox/release-master | SmartFormat.m | .m | release-master/programs/PointVISAR/private/SmartFormat.m | 956 | utf_8 | 41a6ae18021feaff96c419aa8b0e1322 | % SmartFormat : intelligent output format for numerical data
function [format,width]=SmartFormat(data,digits)
% defaults
if nargin<1
data=[];
end
if isempty(data)
data=0;
end
if nargin < 2
digits = [];
end
if isempty(digits)
digits=6;
end
% determine the proper output mode
limit=[1e-4 1e5]; % set by ... |
github | SMASHtoolbox/release-master | SelectVariable.m | .m | release-master/programs/PointVISAR/private/SelectVariable.m | 878 | utf_8 | c48dceadfcd5f4f59fb49414f9e12356 | function cmenu=SelectVariable(varargin)
cmenu=uicontextmenu('Tag','SelectVariable');
uimenu(cmenu,'Label','Velocity','Tag','velocity',...
'Callback',@SetVariable);
uimenu(cmenu,'Label','Phase','Tag','phase',...
'Callback',@SetVariable);
uimenu(cmenu,'Label','Calc. BIM','Tag','bim',...
'Callback',@S... |
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