sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
18a81777f16930f357c363bede12df8f0b25aa65cb5754a3fb932d90329226bb | MATLAB | 1,024 | 35 | function [pval, RealCorrDiff] = permtest_correlation(x, y1, y2, tail, nrand)
% test if two correlations are different
if ~exist('nrand', 'var'), nrand = 10000; end
if ~exist('tail', 'var'), tail = 0; end
% the real correlations of both y1 and y2
RealCorrDiff = corr(x, y1, 'type', 'Pearson', 'rows', 'pairwise') ...
... |
44d5859ef17587bb7ccdd4088dde9f8e17bfeb4f0f4a987ea893eccc06cf17f0 | MATLAB | 1,024 | 37 | % affirms a spike to be something
% and adds it to NNdata
function affirmSpike(self, channel, spike_position, spike_name)
arguments
self (1,1) crabsort
channel (1,1) double
spike_position (1,1) double
spike_name char
end
if self.verbosity > 9
disp(mfilename)
end
if isempty(self.common.NNdata(channel).spiket... |
5c1b7692a13e2feea7639844cc584fe2b81424bf69871bc285cd6ea3316e2e8d | MATLAB | 1,024 | 44 | function M = sampleDiscrete(prob, r, c)
% Like the built in 'rand', except we draw from a non-uniform discrete distrib
% M = sample_discrete(prob, r, c)
%
% Example: sample_discrete([0.8 0.2], 1, 10) generates a row vector of 10 random integers from {1,2},
% where the prob. of being 1 is 0.8 and the prob of being 2 is ... |
994c0cc06db48a8a6bf5e89f9a0a96cfbb60ae47fc48f4f91eff56e98413a3bb | MATLAB | 1,024 | 37 | function varargout = structvals(S, varargin)
% Extract the values of a structure into an output argument list
% specify a cell array listing the fieldnames in the order you want them
% returned. The number of output arguments must equal the number of names
% in order.
%
% Example
%
% model.mu = zeros(1, 5)
% model.Sig... |
2a342dfda8b7bc1f57b4ee6101a249d84546e9e7659e2390771a7284f050ddd0 | MATLAB | 1,025 | 29 | function s = accumulate_prob(sites_per_run,return_as_matrix,return_total)
if (nargin < 2) || isempty(return_as_matrix)
return_as_matrix = false;
end
if (nargin < 3) || isempty(return_total)
return_total = false;
end
assert(iscell(sites_per_run),'sites_per_run must be a cell array');
... |
707ae23801d19de65e9096d685694c27ea680afd0d13fff76473f4adfc44da54 | MATLAB | 1,025 | 36 | function result = tidy_struct_from_yaml(x)
% Recurses through a scalar struct that came of yaml, and tries to make it
% nicer. Currently, replaces cell arrays that cleanly convert to numeric
% arrays with cell2mat() with the cell2mat() output.
if isstruct(x)
if ~isscalar(x) ,
error('All struct elemen... |
c7fa4381da9551cb7aaefe6ba92e85166e9580d7cbc5d43b91f7051ad59479d2 | MATLAB | 1,025 | 64 | function wave = wlProc_calcCosineWindow(s2, s3, s4)
% function wave = wlProc_calcCosineWindow(s2, s3, s4)
%
% This function generates a cosine roll-off window with the two roll-off
% lengths independent of each other.
%
% This returns a [1xN] array of samples in the range 0..1.
%
% wave(1) is 0.
% wave(s2) is the firs... |
42f03a4a934a0170eddb9c3d393202595b73dab925660038103c7108ea9c71f0 | MATLAB | 1,026 | 65 | %%% Program that launchs the complete
for N_ima_active = 1:30,
error_analysis;
end;
return;
f = [];
f_std = [];
c = [];
c_std = [];
k = [];
k_std = [];
NN = 30;
for rr = 1:NN,
load(['Calib_Accuracies_' num2str(rr)]);
[m1,s1] = mean_std_robust(fc_list(1,:));
[m2,s2] = mean_std_robu... |
e8e60bd0878bf1c30efcb744fc881efd576cf61d0ef96a30f75f466dc176e7cc | MATLAB | 1,026 | 32 | function [P,Uinit] = parafac_als(X,R,opts)
%PARAFAC_ALS Deprecated. Use CP_ALS instead.
%
% See also CP_ALS.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sand... |
593d4bc3a97a2caa234ea8c15b09945171fb9d1e4527262e26ca656700507a25 | MATLAB | 1,027 | 52 | addpath c:\nolte\matlab\toolbox
addpath c:\nolte\matlab\toolbox_stefan
clab=importdata('names.txt');
clab=clab';
pat1=importdata('pat1.txt');
pat2=importdata('pat2.txt');
sa=prepare_sourceanalysis(clab,'montreal');
V=reshape(detrend(reshape(sa.V_fine,19,[]),'constant'),19,17177,3);
%figure;
pat=pat1;
[nchan npat]=siz... |
42767408858d76f25069a81ed2e9a7d84a1d1977b2dd1cfba7652c6b43620030 | MATLAB | 1,028 | 27 | % alignLandmarks(pts,mux,muy,theta)
% pts is 2 x n x T, where n is the number of landmarks
% mux is 1 x T, x-coord of centroid of the fly from Ctrax
% muy is 1 x T, x-coord of centroid of the fly from Ctrax
% theta is 1 x T, orientation of the fly from Ctrax
function pts = alignLandmarks(pts,mux,muy,theta)
% pts [2,n,... |
afa939d97d7d46645d5b7a526b2cea994bfd2922c203fdae7b2f66f4eda805bd | MATLAB | 1,028 | 35 | %% Compare kernalized L1 logistic regession to an svm.
%
%%
% This file is from pmtk3.googlecode.com
if ~svmInstalled
fprintf('cannot run %s without svmFit; skipping\n', mfilename());
return;
end
loadData('crabs');
%% SVM
gammas = logspace(-2, 2, 30);
Cvals = logspace(-1, 3.5, 30);
SVMmodel = svmFit(Xtrain,... |
cb1b40888193dc395805a816ddea0660d66f67b2fd18f5d2eeb3ec01ce92567c | MATLAB | 1,028 | 33 | function y = afxFilter(rt,filter,x)
% y = afxFilter(rt,filter,x)
% 4th order butterworth bandpass filter
if ~isempty(filter)
f = 1/rt;
[b,a] = butter(2,2*filter/f);
y = filtfilt(b, a, x);
else
disp('Note: Time series filtering has been skipped ...');
y = ... |
0b5db3fa626736712d938386030172acf5724fae221ff2bd78479670faa974b6 | MATLAB | 1,029 | 39 | function verb=savprint(handle,savName,verbose)
% function savprint(handle,savName,verbose)
%
%
% Tomoyasu Horikawa horikawa-t@atr.jp 2010/10/26
%
setdir(fileparts(savName));
set(handle, 'PaperType', 'A4');
set(handle,'PaperOrientation','landscape');
set(handle,'PaperUnits','normalized');
set(handle,'PaperPosition'... |
4e01014bee0e6e267c20ec0c146bb76383373687e2d78b6d8f05b8e63f6ffdc2 | MATLAB | 1,029 | 35 | function data = leaveoneout(data)
dimtok = tokenize(data.dimord, '_');
rptdim = find(strcmp('rpt', dimtok)); % the selected dimension as number
if length(rptdim)<1
ft_error('the ''rpt'' dimension is not present in the data');
elseif length(rptdim)>1
ft_error('cannot jackknife over multiple dimensions at the same ... |
67a6dfed70b6b8f69ce7f22320ce01a6137f2c54bc16a129addec2c464d3d958 | MATLAB | 1,029 | 52 | %LOADINR Load an INRIMAGE format file
%
% LOADINR(filename, im)
%
% Load an INRIA image format file and return it as a matrix
%
% SEE ALSO: saveinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function im = loadinr(fname, im)
fid = fopen(fname, 'r');
s = fgets(fid);
... |
ce0acae8e98d41df4c644b3ec767e749cccdbffc2c8eff0c7decf36926186052 | MATLAB | 1,029 | 37 | function smallT = margTable(bigT, bigdom, bigsz, onto, maximize)
% Marginalize a table
% This file is from pmtk3.googlecode.com
if nargin < 5, maximize = 0; end
smallT = reshapePMTK(bigT, bigsz); % make sure it is a multi-dim array
sum_over = setdiffPMTK(bigdom, onto);
ndx = lookupIndices(sum_over, bigdom);
... |
d4bc9e8373fda22c42451efe4b5c9f2106fb562bf847cfebf1676eab2ab4b096 | MATLAB | 1,029 | 32 | function [M] = hullModel(M)
%HULLMODEL Smooth a brain model by computing its convex hull.
%
% The convex hull of a data set in n-dimensional space is defined as the
% smallest convex region that contains the data set. For example, the convex
% hull of a brain model results in a hull containing the whole bra... |
1a03a620613f6e401e51cc07cde250a4417b4bcc5e60ad58511e79096e1ecba6 | MATLAB | 1,030 | 32 | tic;
clear all;
param_currents;
param_neuron;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% INITIALIZATION FOR VOLTAGE CLAMP
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
nfV = 100;
t_array = [1000; 3500; 6000; 7000]; Nta = length(t_array);
time_maxV = ... |
321c3ff41ba39f5335a8cfa8c8218f93941fe238503676734e4372c12c9cb917 | MATLAB | 1,030 | 37 | function [data, XYZvoxSphere, XYZmmSphere] = iimg_sphere_timeseries(images, XYZmmCenter, radius)
% :Usage:
% ::
%
% function [data, XYZvoxSphere, XYZmmSphere] = iimg_sphere_timeseries(images, XYZmm, radius)
%
% :Inputs:
%
% **images:**
% list of image files
%
% **XYZmm:**
% [3 x n] array of mm coo... |
269ee5f64bce677597992187009bce7a00c35ac8593d6b09f6f84274c8b7b872 | MATLAB | 1,031 | 27 | function [F, J] = calcGaussianActivationAmplitude(gparams, spftheta)
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
spff = spftheta(:, 1); %standardize input
thori = spftheta(:, 2); %standardize input
sigm... |
c35c1bfc00e0daf18c99ef2520bb37289c032a87662854ce9d80ae0e579c0ecb | MATLAB | 1,031 | 30 | function out=is_octave ()
%% Determine if we are currently using GNU Octave
%% E. Chassande-Mottin
%% Copyright (c) 2007
%%
%% This program is free software; you can redistribute it and/or modify
%% it under the terms of the GNU General Public License as published by
%% the Free Softwar... |
99e1241beb653e7648acd4c90d03302353fd9b02ff7c5e3b8f7851fb910522fa | MATLAB | 1,032 | 46 | % assignSignal
% Assign signal from sigSL and sigRL
clear sl rl ylims
switch dim
case 'TinC'
sl = sigSLv.TinC*1000;
ylims = [0 30];
if sub0 == 1
ylims = [0 20];
end
case 'TinI'
sl = sigSLv.TinI*1000;
ylims = [0 20];
case 'WhenD'
... |
388a6235b5b68ca80263277ccf8b46abf08e13ba4bb5859b99d6b7e3bc3d395f | MATLAB | 1,033 | 30 | function [Y, XYZ] = iimg_read_vols(V, mask)
% Drop-in replacement for spm_read_vols
% Primary difference is that if the images have the same voxel size but are NOT resliced
% (e.g., have differing affine matrices), this will handle reading each individually and
% putting them together.
if nargin<2, mask = 0; end
... |
39940602ec6ea77885ae410e2393d98eb887f0200542bd849264831d0fb71f17 | MATLAB | 1,033 | 41 | function plotConvDiagnostics(X, ttl, filename, maxAcf)
% Plot trace plot, smoothed trace plot, and ACF of 1d quantity
% X(samples, chain/seed)
if nargin < 3, filename = []; end
if nargin < 4, maxAcf = 20; end
% This file is from pmtk3.googlecode.com
if nargin < 2, ttl = ''; end
nseeds = size(X,2);
colors = {'r', 'g... |
5830cca6c5ed034dfc81340dcca592220f0c6b478ef4d81fef23c32f5ec48143 | MATLAB | 1,033 | 48 | function [d,dt]=formatts(d)
%
% Usage: [d,dt]=formatts(d)
%
% Helper function for CWT,XWT,WTC
%
% Brings a timeseries into a shape so that it has two columns: [time, value].
%
%
% (C) Aslak Grinsted 2002-2004
%
% -------------------------------------------------------------------------
% Copyright (C) 2002-2004, A... |
61c88715ba9f531ea58544eacb53a5e78cf66a8896504c15fbd2efe3fbaee6f7 | MATLAB | 1,033 | 40 | function [xn] = normalize_pixel_fisheye(x_kk,fc,cc,kc,alpha_c)
%normalize
%
%[xn] = normalize_pixel(x_kk,fc,cc,kc,alpha_c)
%
%Computes the normalized coordinates xn given the pixel coordinates x_kk
%and the intrinsic camera parameters fc, cc and kc.
%
%INPUT: x_kk: Feature locations on the images
% fc: Camera fo... |
7dba117f5e2fe9335ac274bf0ffe6bc466a9b6dffd74380db2b1d3f9c7328989 | MATLAB | 1,033 | 16 | % Utilities for coloring with MATLAB by Carlos Vargas.
%
% COLORMAP utilites:
% cmapping - Colormap linear mapping/interpolation. v1.1 (Sep 02, 2009)
% cmfit - Sets the COLORMAP and CAXIS to specific color bands. v1.0 (Jun 08, 2009)
% cmjoin - Joins colormaps at cer... |
d29e7d12436975e37f1cb5d1d785a4671c9d2e78fff346f95fa1caa3f7d8adb5 | MATLAB | 1,033 | 46 | % Plot stimulus-locked mean traces for all coherences - considering nans in
% each trial
% meanTracesSL_bigSbigT
filter = ones(size(sigSL.sig_coh))==1;
% filter = sigSL.sig_coh == 0;
conditions = rt_quant;
colores = NS_colorsBY(length(nanunique(conditions)));
clear Son
dt = sigSL.t(2)-sigSL.t(1);
min_num... |
d85daa50ccdd61ae84cdf9a386fb82b0cff1bd3d77a00bffa36ab67bedccc3f4 | MATLAB | 1,033 | 45 | %% Compare Student and Gaussian pdfs
%
%%
% This file is from pmtk3.googlecode.com
for useLog = [false true]
dofs = [0.1 1 5];
xs = linspace(-4, 4, 40);
figure;
[styles, colors, symbols, styleStr] = plotColors;
N = length(dofs);
for i=1:N
dof = dofs(i);
%ps = tpdf(xs, dof);
model.mu = 0; model.Sigma ... |
13f02aa81bc628aefa43b04806159af9a39961778518533c7520a89da42db57d | MATLAB | 1,034 | 32 | % readframe = ufmf_get_readframe_fcn(header)
%
% Returns the handle to a function which inputs the frame number and
% outputs the corresponding frame for a UFMF file described by the input
% 'header'.
%
% Note that this 'header' is modified by ufmf_read_frame and that header
% seems to be stored in the function... |
1c3c3aeb6524d661d2c70bf47121276e6eee0cc4754043518ca09490d7fe73ff | MATLAB | 1,034 | 1 | % TSSETTRIALTYPE Set the currently active trial type
% TSSETTRIALTYPE(TRIALNAME) sets TRIALNAME as the active trial type, the
% trial type used for computing statistics. Not to be confused with
% TSlimit('Trials'), which limits which trials within a trial type are
% subject to analysis. If you want no active t... |
871c52ec7e90893a6f8fc05eec2209e745ec69da6e3f9c2c98c841a95a858228 | MATLAB | 1,035 | 71 | function [basic, supervised, latent, graphical] = classNameMappings()
%% This file stores the mapping from classname to group name.
% It needs to be manually updated when new models are created.
% This file is from pmtk3.googlecode.com
basic = {
'beta'
'betaBinom'
'binomial'
'chi2'
'diric... |
87a07d511d7930348200930d619b4054340bac7037a3537dd3f88009e639f8f2 | MATLAB | 1,035 | 40 | % meg_runAlpha
%% input
expt = 'TA2'; % 'TANoise' 'TA2'
sessionNames = meg_sessions(expt);
user = 'karen';
saveFigs = 1;
saveAnalysis = 1;
%%
for i = 1:numel(sessionNames)
sessionDir = sessionNames{i}; % 'R0817_20181120';
%% setup
% directories
exptDir = meg_pathToTAMEG(expt, user);
dataDir = s... |
99527c0f830aa6efd7db0c5e132c3b2bc81205439490b16a60ba1595218bf412 | MATLAB | 1,035 | 30 | function [yhat, p] = logregPredict(model, X)
% Predict response for logistic regression
% p(i, c) = p(y=c | X(i,:), model)
% yhat(i) = max_c p(i, c)
% For binary, this is {0,1} or {-1,1} or {1,2}, same as training
% For multiclass, this is {1,..,C}, or same as training
%
% Any preprocessing done at training time ... |
b080996234e01e7e40476bcfa14348252f7b73543201837e6c823d7ccca587a5 | MATLAB | 1,035 | 27 | function generate_funct_images_FIR(stat_path,sim_path,exp_folder,SF,SNR,N,N_ROIs,dummy)
% ========================================================================
% Ruslan Masharipov, October, 2023
% email: ruslan.s.masharipov@gmail.com
% ========================================================================
tic
fo... |
b35c14eb5d4960e2d1af760459f666f935a35eb2bfeb74310b36b68fdb63175b | MATLAB | 1,035 | 40 | function dat = LoadSingleChannel(trodeFile, chan, varargin)
timeRange = [0 Inf];
for i = 1 : 2 : length(varargin)
switch lower(varargin{i})
case 'timerange'
timeRange = varargin{i+1};
otherwise 'Invalid optional argument passed to LoadSingleChannel'
end
end
hsdHeader = g... |
dad5426115ed611852e901872a7d2071fb92bdfa37d7050b748137328ffe0b6c | MATLAB | 1,035 | 33 | function display_feature_TvsT_mean(var1,newfig,rev_color)
color_test1 = cbrewer('seq','YlGnBu',100); % colormap for corr
color_test2 = color_test1(end:-1:1,:);
for mouse = 1:size(var1,2)
if newfig
figure;
end
h = imagesc(var1{mouse});
if newfig
title(['Mouse ' num2str(mo... |
fe438c855a9ea960ece3bcdc73ff12238ea52d5e7213e4ff18403e39e6deb20d | MATLAB | 1,035 | 39 | function [path fnprefix num_flag ext startn endn] = GetFilenameNumbering(filename)
% Return the file path, its name without ending numberings and its
% extension:
% [path fn num_flag ext]
% num_flag is the smallest number that the fnprefix is prefixed to.
[path fname ext]=fileparts(filename);
idx = regexpi([fname ext]... |
19100745b5e5921c2f3af56d3cfbaca3f151c2be31e2ea1d2363398aa01b05f2 | MATLAB | 1,036 | 38 | % - figure
dth = 0;
% Extract response data for excitatory (z1) and inhibitory (z2) neurons
z1 = dr_all(1:NE, :);
z1 = reshape(z1, 1, []);
z2 = dr_all(1+NE:end, :);
z2 = reshape(z2, 1, []);
figure('Position',[100,100,250,450])
subplot(211);
title('exc'); hold on
% Plot the histogram bars for positive and negative... |
25a4e10546927ffec60eeefa6486b354cedc7afedec0197fc51abd42232f0fa4 | MATLAB | 1,036 | 38 | function [ f, J, H] = rlogistic2gpu( params, x )
%LOGISTICFUN evaluates modified logistic with params at x
% Detailed explanation goes here
%==========================================================================
%define inputs
x = x(:);
gamma = params(1);
beta = params(2);
%=================================... |
39ec8b63f19bd3c03b396aa193f2022b61052adba2fcc852864a4a6a5d4ab643 | MATLAB | 1,036 | 37 | function C = plus(A,B)
%PLUS Binary addition for ktensor.
%
% C = PLUS(A,B) adds two ktensors of the same size, and the
% result is a ktensor of the same size.
%
% See also KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and other... |
64e6445edc0ce652c76aef839c51efe05411b700552532d2e5922949417a6bea | MATLAB | 1,036 | 33 | %https://github.com/QuantEcon/QuantEcon.jl/blob/master/test/test_kalman.jl
A = [.5 .4;
.3 .2];
Q = [.34 .17;
.17 .17];
G = [.5 .4];
R = [.05^2];
y = [1. 2. 3. 4.];
cov_init = [0.722222222222222 0.386904761904762;
0.386904761904762 0.293154761904762];
%{
%k = Kalman(A, G, Q, R);
set_s... |
75cda8ae90cf7f3d4b3a39d23c1a66b75b781da0ea965062dcc437fedea48187 | MATLAB | 1,036 | 29 | function H=kaytth(length);
%KAYTTH Kay-Tretter filter computation.
% H=KAYTTH(length); Kay-Tretter filter computation.
%
% See also INSTFREQ
% F. Auger, March 1994.
% Copyright (c) 1996 by CNRS (France).
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU Gener... |
d13338d653d737b86234e402c7eb490af5576ef91a7080686c99a4092fb866eb | MATLAB | 1,036 | 32 | % SPPUSH3 Append to 3-array sparse matrix representation.
%
% [I,J,V,NZ] = SPPUSH3(I,J,V,NZ,IA,JA,VA) overwrites I(NZ+(1:N)) = IA,
% J(NZ+(1:N)) = JA, and V(NZ+(1:N)) = VA, where
% N = LENGTH(IA) = LENGTH(JA) = LENGTH(VA), and replaces NZ := NZ + N,
% appropriately reallocating and expanding the capacities of ... |
fa1014b44450a5c27b2b13d0d519e2cce1dec588a3361739c1b5fac22b060246 | MATLAB | 1,036 | 46 | function spirallin_data_generate(nc,sampnum)
ns = sampnum/nc;
X = [];
y = [];
for i = 1:nc %ic: class index
r = linspace(0.02,1,ns);
t = linspace(i*2*pi/(nc), (i+nc-1)*2*pi/nc, ns) + 0.1*randn(1,ns);
X = [X ; [(r.*sin(t))' (r.*cos(t))']];
y = [y;(i)*ones(ns,1)];
end
X = 255*(X+1)/2;
y... |
9bf4ec872787309dc8c28c5b6c7bad5e6a1e8c26ed7278e42dee7746099222a2 | MATLAB | 1,037 | 36 | function [fx,dF_dX,dF_dTheta] = f_doubleWell(Xt,Theta,ut,inF)
% damped double Well Lyapunov evolution function
% function [f,J] = f_doubleWell(t,x,theta)
%
% This function computes the evolution function that comes from a .
% IN:
% - t: time index (not used here)
% - x: the current state of the system
% - theta: ... |
b12b3b4e3afc8e15d800352389970d1a6945a2a9f4618bda1ffbe24100406f55 | MATLAB | 1,037 | 30 | data_folder = 'Y:\laura_berkowitz\alz_stim\data\crimp';
folders = dir(data_folder);
folders = folders(~ismember({folders.name},{'.','..'}),:);
folders = folders(~ismember({folders.name},{'session_check.csv','._session_check.csv'}),:);
% loop through folders and process those that don't have evidence of
% processing (... |
27351aec4bd71bb71ed914c615ac60ded9adeb08df068db99fcc1982d9551910 | MATLAB | 1,038 | 35 | function A = tt_cp_vec_to_fac(x,Z)
%TT_CP_VEC_TO_FAC Converts a vector to a cell array of factor matrices.
%
% A = TT_CP_VEC_TO_FAC(X,Z) converts the vector X into a cell array
% of factor matrices consistent with the size of the tensor Z.
%
% See also TT_FAC_TO_VEC, TT_CP_FUN, TT_CP_OPT.
%
%MATLAB Tensor Toolbox... |
a1b557e9c2f6dacf21059ad46c472eb677ff88ceb0a5b682537e577cb4df4aea | MATLAB | 1,038 | 38 | % Vie the Action-Selector you can search available module functions in Dataspace.
%
% DSPACE-HELP-IMAGE<ActionSelector_img1_v2.png>
%
% Enter a string in the search fields and all actions whose name contains
% the string are provided as options. Click on an option to select it.
%
... |
ad228fe39a35c3d999c4bbb8a0a6eb7c5769bda7d8b200ffeb36658923438a0d | MATLAB | 1,038 | 34 | function order = IDX2order( IDX )
% Converts class labels into an ordering.
%
% Creates an ordering order such that IDX(order)=[1 1...1 2...2 ... k...k].
% All points within a class retain the ordering in which they originally
% appeared. Also, Xb = X(order,:) has cluster labels IDX(order), ie
% adjacent elements in X... |
5d3b6bfb8b66e436d53cba7fa6b8812bb0c1a3d6cfc04233b4050dc5705cdab9 | MATLAB | 1,039 | 38 | function mnistSplit()
%Put each digit into its own file
% train_images: [28x28x60000 uint8]
% test_images: [28x28x10000 uint8]
% train_labels: [60000x1 uint8]
% test_labels: [10000x1 uint8]
load('mnistALL.mat');
for c=1:10
y = c; if y==10, y=0; end
ndx = find(mnist.train_labels==y);
Ntrain(c) = length(ndx)
... |
af3d2d103aa9284b979d2bced54bd709f0dd8544f42fc684fa0d702192d9476b | MATLAB | 1,039 | 47 | % this script demonstrates how to derive and display Monte-Carlo esimates
% of the (prior) predictive density over hidden states of dynamical
% systems.
clear variables
close all
% Choose basic settings for simulations
n_t = 5e2;
deltat = 2e-2;
alpha = 1e0/deltat;
sigma = 1e-1;
theta = [28;10;8/3];
f_fname = @f... |
bcd40843dd7c4be11a4cd8fd7654866b88a06757639eabc181e35288ace66244 | MATLAB | 1,039 | 40 | %% Tikhonov regularization for a piecewise smooth function
% Based on code by Uri Ascher
%%
% This file is from pmtk3.googlecode.com
function tikhonovDemo()
setSeed(0);
lambdas = [0.1 2 10];
for j = 1:numel(lambdas);
lambda = lambdas(j);
%% Generate data
N = 50;
noise = 0.5;
x = ((1:N)-0.5)./N;
... |
c2bbabb3941cbded1730308e65d2a1400f3386d03f5d3d04f1fb9478423b6a69 | MATLAB | 1,039 | 37 | function [X, y] = processColonData()
%% Parse I2000.html, and tissues.html for X and y
% See http://genomics-pubs.princeton.edu/oncology/affydata/index.html
% for a description of the data.
%
% There are 62 x 2000-dimensional examples
% y = -1 indicates malignant tissue
% y = +1 indicates normal tissue
%
D = ... |
89f463644704ad78d4a5f8285b0a08609a8250c62d81259f95b422d759a9d562 | MATLAB | 1,040 | 24 | function varargout = maxprojmask(a, b, c, d)
% returns masks for a, b, c, d (or however many inputs u give)
% where mask(a) = 1 where a > b,c,d; 0 else
% usage: [am, bm, cm] = maxprojmask(a, b, c)
varargout = cell(1,nargin);
if nargin ==2
max_ = max(a, b);
% Q: threshold needed?!?!
% level = m... |
92db2f23d4eb1f9e84548dd9dfb240b7780d32d77110a4c727c9a168688b6c72 | MATLAB | 1,040 | 27 | function [subs,vals] = find(t)
%FIND Find subscripts of nonzero elements in a sparse tensor.
%
% [SUBS,VALS] = FIND(T) returns the subscripts and corresponding
% values of the nonzero elements of T.
%
% Note that unlike the standard MATLAB find function for an array,
% find does not return linear indices. Inste... |
9bf4ce269bfd8789e2cf9c0b962dea9826d7a2e60a7937547aa0f69fd712048a | MATLAB | 1,040 | 28 | %% created by Antoine Wystrach
function [KC_AP, KC_EPSP] = use_MB (PN_input, MB, nb_KC_firing)
%in PN_input, glomerulus is vertical, time is horizontal
%work with a single input too (vertical PN vector)
if size(PN_input,1) == size(MB,1) %necessary requirement, nb of PNs input must match nb of PNs in MB
KC_A... |
d72c3cfd000bbc2e9abebe619b712bc431c8245de70678c38713cdc65d1c75ad | MATLAB | 1,040 | 26 | function [Fout, J] = calcDoGActivationsGrating(params, xvals)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
spfreq = xvals(:, 1);
ori = xvals(:, 2);
surrwt = params.surrwt;
%============================... |
edf9035e2629601feec9f0ced3a631ca31bf2545edfa7283000546743410eb02 | MATLAB | 1,040 | 50 | function clip=w_ClipLevel(varargin)
%varargin{1}=mfac;
%varargin{2}=dataset;
%Acquire 4D Matrix
mfrac=varargin{1};
if ischar(varargin{2})
[Volume4D, VoxelSize, Header]=y_ReadRPI(varargin{2});
MeanAbsVolume=mean(abs(Volume4D) , 4);
else
MeanAbsVolume=varargin{2};
end
MeanAbsVolume=reshape(MeanAbsV... |
25478321df70a31086832c2d928d55a4b49aeeaef46b2ea54c68054515c84f7c | MATLAB | 1,041 | 29 | function q = dblquadvec(f, varargin)
% Calls dblquadvec but assumes you can't vectorize your input function
% DBLQUADVEC has the same calling syntax as DBLQUAD but doesn't require that
% the integrand be vectorized.
%
% Q = DBLQUADVEC(FUN,A,B) tries to approximate the integral of scalar-valued
% function FUN fr... |
3eb06a742f4a784cbe9ad0e9700729d4d7724f2d740383dab3517f2d00877faa | MATLAB | 1,041 | 38 | function output = base64decode(input)
%BASE64DECODE Decode Base64 string to a byte array.
%
% output = base64decode(input)
%
% The function takes a Base64 string INPUT and returns a uint8 array
% OUTPUT. JAVA must be running to use this function. The result is always
% given as a 1-by-N array, and doesn't retrieve t... |
59dbe99160941707295812e112da45839f64e94b1c0f2de4198db1c04b37eaa7 | MATLAB | 1,041 | 44 | % Author: Birgit Nierula (Feb, 2020)
% nierula@cbs.mpg.de
%% cfg definition
% this file defines important analysis parameters.
% sampling rate
srate_ica = 250;
srate_rpeak = 5000;
% interpolation window - just for R-peak detection!!
interpol_window_rpeak = [-1.5 1.5];
% eeg interpolation window
interpol_window = [-... |
654be92c8b881d78a32ef458d9a2036483ededc7d2e05cc8f8aaccf06f9af0e1 | MATLAB | 1,041 | 35 | %_______________________________________________________________________
%
% targets = setNumTargets(numTargets)
%_______________________________________________________________________
%
% creates the targets structure
%_______________________________________________________________________
%
% By default, the number ... |
6b953299579d27dff4c17ee89b627401186792457237c2cf9b3e80fdf3db18b7 | MATLAB | 1,041 | 32 | function samples = crf2Sample(model, Xnode, Xedge, Nsamples)
% Sample from a CRF
% samples = crf2Samples(model, Xn, Xe, Nsamples)
% Input should be a single datacase:
% Xn is NnodeFeatures*Nnodes
% Xe is NedgeFeatures*Nedges
% samples is Nsamples*Nnodes
%
% This file is from pmtk3.googlecode.com
if isempty(model.samp... |
7bd532b6bc109851ee2fe70b0f95974b7dbd9090ffa8e67bf0fa90d8c1511b6c | MATLAB | 1,041 | 41 | %% Simple inference test in the alarm network
% This file is from pmtk3.googlecode.com
nnodes = 37;
dgmJ = mkAlarmDgm('jtree');
dgmV = mkAlarmDgm('varelim');
J = dgmInferNodes(dgmJ);
V = dgmInferNodes(dgmV);
if libdaiInstalled
dgmL = mkAlarmDgm('libdaiJtree');
L = dgmInferNodes(dgmL);
assert(tfequal(J, ... |
f6184472cdcceb1f4a7670cc04aedc329a6369396d5f7819f3304876e01e02a2 | MATLAB | 1,041 | 30 | % Matlab version of the CTF command line program changeHeadPos. Changes
% the dataset .hc and .res4 files such that the initial head coil positions
% is the one provided. This does not change the data, only the sensor
% coordinates and orientations and the coil coordinates. Backups of the
% modified files are create... |
5076f64485f291cc800d5cc866806e31265f998a3b01c39d73325a748140fa20 | MATLAB | 1,042 | 30 | function [data_crop,data_outofcrop] = loc_list_roi(data)
try
coordinates = getline();
data_crop = cell(1,length(data));
data_outofcrop = cell(1,length(data));
for i = 1:length(data)
[data_crop{i},data_outofcrop{i}] = loc_list_crop_inside(data{i},coordinates);
end
data_crop = data... |
85951cab596f7b5b67ea02fb4b61432088de26be26427613d84739938fe259e5 | MATLAB | 1,042 | 31 | function [pos, tri] = icosahedron42()
% ICOSAHEDRON42 creates a 1-fold refined icosahedron with the vertices on a unit
% sphere
%
% Use as
% [pos, tri] = icosahedron42;
%
% See also ICOSAHEDRON
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the ... |
8ccbfe931c5f997643c2f826b15544e1b7f487c4e206364d1d6ca98f90bceef9 | MATLAB | 1,042 | 40 | %% Find the MLE tree from a word-document binary matrix
% This file is from pmtk3.googlecode.com
loadData('20news_w100'); % documents, wordlist, newsgroups
%X is 16,642 documents by 100 words (sparse logical matrix)
X = documents';
disp('mlapa chowliu demo')
%setSeed(0);
%X = randn(100,5)>0;
model = treegmFit(X);... |
af1db7a816cbce987d5c6d66f806456767be9706fba4691426037627de335c23 | MATLAB | 1,042 | 32 | function q = CBIG_MFMem_rfMRI_matrixQ(i,n,T)
%------------------------------------------------------------------------
% q = CBIG_MFMem_rfMRI_matrixQ(i,n,T)
%
% function for generation specitial diagnal matrix used in estimation
%
% Input:
% - i is the index to selected i-th trail
% - n is total availble ... |
c62a33e3cd2553497ef6be6ac4f53c2c0745cc38a8350e3de8fd6007830a78c9 | MATLAB | 1,042 | 23 | function [fr, sd, count]= HumanOdorRep_firing_rate(trial, from, to)
%% function [fr sd count] = HumanOdorRep_firing_rate(trial, from, to)
% compute the mean (sd: standard deviation) firing rate (fr) in Hz for a cell array with spike-times
% trial{1} = [-241 -290 390 ...], trial{2} = [-241 111 129...]
% from and to are... |
590b6f41a89279ed778fc7743b94ad6c907071c56e9d5df0de673083cc7c20fb | MATLAB | 1,043 | 53 | function [x] = project2_oulu(X,R,T,f,t,k)
%PROJECT Subsidiary to calib
% (c) Pietro Perona -- March 24, 1994
% California Institute of Technology
% Pasadena, CA
%
% Renamed because project exists in matlab 5.2!!!
% Now uses the more elaborate intrinsic model from Ou... |
a6ba8c1e582787d8dc0b1115c65af3d700114fb5e05cde067bbea52060412c50 | MATLAB | 1,043 | 37 | function [vec, precomp_grads] = KeySampleVec(key, pix, sift_params, precomp_grads)
% DG's Addition: Method 1 with rotational invariance added in:
[index precomp_grads] = KeySample(key, pix, sift_params, precomp_grads);
%Add up each of the IndexSize x IndexSize x IndexSize bins into the
%corresponding tesselatio... |
df552bfcb5474893130607764471c771811ac0d419b6d3d7f1105b3c3bb445dc | MATLAB | 1,043 | 29 | function [b, se, t_stat, p_val] = lm_lean(X,Y)
%%% Fit a linear model and calculate standard error, t statistic as
%%% well as p values; faster than fitlm
%%% intercept has to be manually included in X
%%% formula assembled from Learning Statistics with R, page 468
%%% Inputs
% X: de... |
2336f2b372c7ddc068e6b0641fba7bc3b3dd04f325fa8bade30014d8852a2fb4 | MATLAB | 1,044 | 48 | function map = redblue(N, dark)
%REDBLUE Red and blue colormap going from blue to white to red.
% Usage:
% map = redblue(N)
%
% Args:
% N: number of samples in the colormap (default: 64)
%
% Returns:
% map: N x 3 matrix of RGB colors
%
% Example:
% imagesc(repmat(linspace(-1,1,200),100,1)),colorbar,colormap re... |
78e4af1b7f19c80f93c577eb45eb80faf112871a417b25e2263b94b075632a4c | MATLAB | 1,044 | 44 | function [dt, timer_id] = stocf(timer_id, str, varargin)
%STOCF Report elapsed time with print formatting.
% Usage:
% stocf(str, ...)
% stocf(timer_id, str, ...)
% [dt, timer_id] = stocf(_)
%
% See also: stic, stoc
% Get elapsed time
if ischar(timer_id)
if nargin > 1; varargin = [{str} varargin]; end
% N... |
a60ce6dfdc77c810d2e68b128f298f1c425122929bdc9a24269d75622f4871ba | MATLAB | 1,044 | 28 | function h_loadSelectedROISettings3(handles)
% load the selected annotation ROI color and z settings when it was
% created.
selectedROIObj = findobj(handles.imageAxes, 'tag', 'annotationROI3', 'Selected', 'on');
if length(selectedROIObj) == 1
UData = get(selectedROIObj,'UserData');
settings = UData.... |
a669c320ca29dac3c201ef5ff60755f4824c7be703308b0f64f11875bd84d406 | MATLAB | 1,045 | 47 | function caller = get_caller_name(varargin)
%GET_CALLER_NAME Returns the name of the caller function.
% Usage:
% caller = get_caller_name()
% caller = get_caller_name('Path', true)
% caller = get_caller_name(..., 'Warn', true) % warning if called from workspace
%
% See also: mfilename, funpath, dbstack
% Parse i... |
a94ea18234416fec6c7738cdb8cd03a95b9428cc063cd5ac6077c78dcea04726 | MATLAB | 1,045 | 35 | %% Compare EM to matlab stats toolbox
% PMTKneedsStatsToolbox mle
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
%% same data as gaussVsStudentOutlierDemo
n = 30;
setSeed(8);
data = randn(n,1);
outliers = [8 ; 8.75 ; 9.5];
X = [data; outliers];
MLEs = mle(X,'distribution','tlocationscale');
mu1d = ML... |
aff02cdd9b547fe884eba1c6b668930e22914e697f0dd74e3d7625dd269c1e9a | MATLAB | 1,045 | 35 | % demo: VBA inversion of generative models with unnormalized likelihoods.
% This demo considers a dummy scenario, whereby a Gaussian log-likelihood
% is specified as if it was arbitrary, i.e. in terms of a quadratic error
% function. We can then compare the VBA_UNL inversion of this model and its
% normalized variant, ... |
b03a70ac6b727f21781f01eae0e14da830d3ee8564440c0a7cd3381032e6f101 | MATLAB | 1,045 | 31 | function [pos, tri] = icosahedron162()
% ICOSAHEDRON162 creates a 2-fold refined icosahedron with the vertices on a unit
% sphere
%
% Use as
% [pos, tri] = icosahedron162;
%
% See also ICOSAHEDRON
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for t... |
b76927d3066c8d6d19b9f0d568c5ff1ad03347e0d29e7217cb2485ca63c3a0df | MATLAB | 1,045 | 47 | %% quads
%
% Trapezoidal rule quadrature (numerical integration)
%
% <matlab:open('quads.m') code>
%
%% Syntax
%
% q = quads(x,Y)
%
%% Arguments
%
% _input_
%
% x vector of evaluation points
% Y matrix of values corresponding to x
%
% _output_
%
% q vector of quadratures
%
%% ... |
02fb370f8c8a16a94d55233337be4516c30ad41f5c50a6b549a772923d743026 | MATLAB | 1,046 | 28 | function registerModularToolWithManager(modular_tool,target_images)
%registerModularToolWithManager registers a modular tool with the modular tool manager of a target image.
% registerModularToolWithManager(MODULAR_TOOL,TARGET_IMAGES) registers
% MODULAR_TOOL with the modular tool manager of each of the
% TARGET_... |
143298446911696e58fde4a328ac058ba60ab07cfdb2a4fbd1a2ae693d772379 | MATLAB | 1,046 | 32 | function [pos, tri] = icosahedron642()
% ICOSAHEDRON642 creates a 3-fold refined icosahedron with the vertices on a unit
% sphere
%
% Use as
% [pos, tri] = icosahedron642;
%
% See also ICOSAHEDRON
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for t... |
7f2f6b6c53cba221e775145a0277f425cb03a939c0d379deca7d035f167d78d4 | MATLAB | 1,046 | 28 | function mappedX = mds(X, no_dims)
%MDS Run MDS on the data to get a low-dimensional visualization
%
% mappedX = mds(X, no_dims)
%
% Run multidimensional scaling on the dataset X to get a two-dimensional
% visualization. The low-dimensional representation is returned in mappedX.
% It has dimensionality no_di... |
ba3806484f2bdefd916557a40acce3bdadef26e5798329b336857265a8c86b02 | MATLAB | 1,046 | 46 | function LAN = lan_cat(LAN)
%
% function in developing, usefull to merge resting state period,
% or opauses recording
%
if LAN.trials == 1
warning('LAN data seen as a continuous recording, nothing to do')
return
end
% "selected" field
newselected{1} = LAN.selected{1};
newselected{1}(end)=0; % deja el u... |
cfdf22440cd1e691e728b0826643516ca4eaa34e3495b85d6a98935943b44962 | MATLAB | 1,046 | 64 | function visualizeAlarmNetwork()
%% Uses drawNetwork to display the alarm network DGM
% This file is from pmtk3.googlecode.com
[G, names] = parseAlarmData();
N = camelCaseNames();
g = drawNetwork('-adjMat', G, '-nodeLabels', N, '-splitLabels', 1, '-layout', Treelayout);
maximizeFigure;
g.tightenAxes;
g.growNodes;
g.g... |
4cd293733bd9e48ba2875b678d2b1558d078e3e40315d74fc3a21f5f8564abbc | MATLAB | 1,047 | 28 | function normalized_psd = calculate_normalized_power(psd_matrix)
% calculate_normalized_power - Calculates the normalized power of multiple PSD curves
% psd_matrix - A 2D matrix where each row represents a PSD curve of a signal
% Initialize the output matrix
normalized_psd = zeros(size(psd_matrix))... |
4ec934c9cd4ccd1afd0551cb550aed49aedee7cbda42c58ffbe0f15b43f0743b | MATLAB | 1,047 | 42 | function wlPlot_plotWaveAndSpec(cfg, times, wave, figtitle, filelabel)
% function wlPlot_plotWaveAndSpec(cfg, times, wave, figtitle, filelabel)
%
% This function plots a time-series waveform and a corresponding spectrogram.
%
% "cfg" contains figure configuration information (see "FIGCONFIG.txt").
% "times" is a [1xN]... |
53d625052bcc3325dd73a8d8089cd8f4c885403f113356c034b542a94e311e89 | MATLAB | 1,047 | 38 | function [fractal,original] = ft_fooof_matlab_v1(signal_data,param)
%FT_FOOOF_MATLAB_V1 Summary of this function goes here
% Detailed explanation goes here
% signal_data should be 1 by time matrix
srate = param.srate;
slide_window_length_sec = param.slide_window_length_sec;
window_overlap = param.window_overlap;
freq... |
a78d55dcc5499e25f95d81525283f44f7765b2538bdd167fc6d28d3d68ccb5cb | MATLAB | 1,047 | 40 | function LAN = mix_trials(LANa, LANb)
if nargin == 1
if iscell(LANa)
LAN = LANa{1};
for c = 2:length(LANa)
LAN = mix_trials(LAN, LANa{c});
end
end
else
if LANa.nbchan ~= LANb.nbchan
disp('error: All trials should have the same number of channels')
LAN = [... |
aa2254a764973159169eac3e3f0ead730a62e1523172cec492ac0ad871c7357d | MATLAB | 1,047 | 35 | function s = ismatch(x, y)
% ISMATCH returns true if x is a member of array y, regardless of the class
% of x and y, if y is a string, or a cell-array of strings, it can contain
% the wildcard '*'
if isempty(x) || isempty(y)
s = false;
elseif ischar(x) && ischar(y)
y = sprintf('%s%s%s', '^', regexptranslate('wild... |
e2165437e5ff168e5929b4d517bf88c9a623ea5ad3d7305bc195e8d6233f8a3a | MATLAB | 1,047 | 39 | function output = zlibencode(input)
%ZLIBENCODE Compress input bytes with ZLIB.
%
% output = zlibencode(input)
%
% The function takes a char, int8, or uint8 array INPUT and returns
% compressed bytes OUTPUT as a uint8 array. Note that the compression
% doesn't preserve input dimensions. JAVA must be enabled to use t... |
4b55fadc00466c07df75f45651e83dbb2fbba3bd7075f95728e77f24bc6642c5 | MATLAB | 1,048 | 43 | function U = tocell(X,N)
%TOCELL Convert X to a cell array.
%
% TOCELL(X) converts X to a cell array, evenly distributing the
% weight in lambda.
%
% TOCELL(X,N) absorbs the weights into the Nth factor matrix.
%
% See also KTENSOR, NORMALIZE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% Thi... |
580b7a17b3a6387dae4c0cef5a8aa07791bb426a671db6f28f8e81c6f93978b8 | MATLAB | 1,048 | 36 | function outpoints = mni2tal(inpoints)
% Converts coordinates from MNI brain to best guess
% for equivalent Talairach coordinates
% FORMAT outpoints = mni2tal(inpoints)
% Where inpoints is N by 3 or 3 by N matrix of coordinates
% (N being the number of points)
% outpoints is the coordinate matrix with Talairach points... |
6b00f00733238389aeafc312d4eeffe080d97d569830f5facd187f0f5c80dde5 | MATLAB | 1,048 | 29 | function packages = scrapePmtkSupport(folder, exclude)
%% Scrape pmtkSupport.googleCode.com to get the names of all the support packages there
% This file is from pmtk3.googlecode.com
if nargin < 1, folder= []; end
if nargin < 2, exclude = strtrim(tokenize(getConfigValue('PMTKmetaDirs'), ',')'); end
url = 'http://... |
76e8babbf7be0f5750f3ffb19efe7229fb848a185031d65f9b0aca6833b28bf0 | MATLAB | 1,048 | 24 | function [index precomp_grads] = AddSample(index, pix, distsq, r, c, s, i_indx, j_indx, s_indx, fv, sift_params, precomp_grads)
% r, c, s is the pixel index (x, y, z dimensions respect.) in the image within the radius of the
% keypoint before clamped
% For each pixel, take a neighborhhod of xyradius and tiradius,
... |
c3b87221a71c010825b971ded5088c61a6962b070e7ac447e8dce7737f05856a | MATLAB | 1,048 | 45 | function cl = iimg_indx2contiguousxyz(dat,volInfo,remove_mean_flag)
% Take in index image data vector (in-mask values only) and a volume info structure with xyzlist
% and return a cl structure whose XYZ values list contiguous sets of voxels
% ("blobs")
%
% :Usage:
% ::
%
% cl = iimg_indx2contiguousxyz(dat,volInfo,[... |
d2d8b44ec3b2fc2f0cdcf491ff37bfd13e651e28c17883995b285dabf308db5a | MATLAB | 1,048 | 50 |
rawdata = dlmread('heightWeightData.txt'); % comma delimited file
data.Y = rawdata(:,1); % 1=male, 2=female
data.X = [rawdata(:,2) rawdata(:,3)]; % height, weight
maleNdx = find(data.Y == 1);
X = data.X(maleNdx,:);
XS = standardize(X);
% Whiten
Sigma = cov(X);
mu = mean(X);
n = size(X,1);
[E,D] = eig(Sigma);
Wpca... |
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