sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
7a57c375240c2118979b8192f109084102c96d257c82cbb5e9604ab21771b1ec | MATLAB | 1,739 | 46 | function [sig,iflaws]=griffitc(N,SNR);
%GRIFFITC Test signal example C of Griffiths' paper.
% [SIG,IFLAWS]=GRIFFITC(N,SNR) generates the test signal of
% the example C of the paper of Griffiths.
%
% N : signal length (default: 200)
% SNR : signal to noise ratio (default: 25 dB)
% SIG : output sign... |
f05e08bdf26e7ae315cf69caea3e59e45f37ab80c8348294ffebc9b80a9c78d8 | MATLAB | 1,739 | 1 | function R=egfit(data, params, options)
% version 2.2 27/02/07
% uses fminsearch instead of fmins
% (c) Yves Lacouture, Universite Laval
[n,m]=size(data);
if min(n,m) > 1
error('First argument must be a vector');
end
if n == 1 %case of a row vector of data
data = data';
n = m;
end
if m... |
26d0e2e3adb4dae1c9cd8f60805eabf0ae836ead76b04f741b2541ba7847be89 | MATLAB | 1,742 | 58 | classdef VCodeImporter < FeaturesImporter
properties
end
methods(Static)
function n = typeName()
n = 'VCode';
end
function c = canImportFromPath(featuresFilePath)
c = false;
if exist(featuresFilePath, '... |
f702f2490718f278c7b50a1874fee3c56a647dda56dd0d4436588e1e172538ff | MATLAB | 1,742 | 31 | function nc_spm_group_normalize_using_dartel(normalize_matfile, TemplateFile, FlowFieldFileList, ...
gm_files, wm_files, csf_files, fdg_files)
% normalize_matfile : spm job mat for normalization, usually refer to the
% Dartel_NormaliseToMNI_ManySubjects.mat
% template file : the dartel template file created us... |
10f9a9901404a1faf83b31254f92b6937c4cabd7247411ae4c0d5ae34d38c74f | MATLAB | 1,743 | 37 | %% RELAX EEG CLEANING PIPELINE, Copyright (C) (2024) Aron Hill & Neil Bailey
% 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 Software Foundation, either version 3 of the License, or
% any later... |
205ebe80ee23675512f7973cf7a57aa8a7327fb95bd04f0cfe7a4d7d3e1b13b2 | MATLAB | 1,743 | 77 | %% PCA Face Demo
% Based on code by Mark Girolami
%%
% This file is from pmtk3.googlecode.com
requireImageToolbox
loadData('facesOlivetti');
h = 112; w = 92;
% plot the first 25 faces as a single image
figure;
N = 25;
XtrainImg = zeros(h,w,1,N);
for i = 1:N
XtrainImg(:,:,1,i) = reshape(Xtrain(i,:), [h w]);
end
mon... |
38a519876dc53d1467c6e07ea8a562ab8aa533a7a3790ea53e5532bf5435280e | MATLAB | 1,743 | 57 | function [A,cost] = minSpanTreePrim(C1, C2)
%
% Find the minimum spanning tree using Prim's algorithm.
% C1(i,j) is the primary cost of connecting i to j.
% C2(i,j) is the (optional) secondary cost of connecting i to j, used to break ties.
% We assume that absent edges have 0 cost.
% To find the maximum spanning tree, ... |
50bf7fb4d73d66c692bbd2087bc0b8650b670d37927166edf14adb6a500def8e | MATLAB | 1,743 | 68 |
function f_pwr = check_forbbiden_fq(g_hz,scanner,plot_graph)
% g_hz = spiral.grad_x.seg(1).shot(1).kslice(1).grad(1).waveform;
% g_hz = gx(1).waveform;
g = g_hz/42.58e3;
if scanner == 7
f1 = 1100;
bw1 = 300;
f2 = 550;
bw2 = 100;
elseif scanner == 9
f1 = 3000;
... |
adc304c922f0c35b794e0ec1ae65fda355589d6cd526a5df2694d8ee0a673255 | MATLAB | 1,743 | 81 | function [t,TIN, TOUT,EC,EI,CHOICE,RT,COH,SESSION] = get_and_prep_data()
% Adaptend from AZ 2022
TIN = [];
TOUT = [];
EC = [];
EI = [];
RT = [];
COH = [];
CHOICE = [];
SESSION = [];
% do_save_flag = 1;
n_datasets = 8;
global par_sess
for idataset = 1 : n_datasets
% dt_ms = 10;
dt_ms = 25;
par = par_ses... |
fdb25b432996c6fb5135af895f986af7acef4602bcf9f9bc17cffa6380f492f7 | MATLAB | 1,743 | 48 | classdef AbstractHeavyGraph < handle
% HeavyLocalGroups are LGs that can contain data > 2GB. To store this
% 'heavy-data' data fast, special arrangements are needed. Storing of
% the data is done by the saveTableDataSource_v3 function.
%
% For convenience only:
% Default methods work if a ... |
0ca49dd4d9a5ae6bd7f55eeff20425013cf9f3bc9f673d7e7380726f8e75972a | MATLAB | 1,744 | 44 | function prf = wiCSpkProf(tsd,nses,SesStrt,CSon,CSoff,Pk)
sesstrts = find(tsd(:,2)==SesStrt);
tsd = tsd(sesstrts(end-nses):end,:); % only "terminal" sessions (2nd half?)
LVpk = tsd(:,2) == Pk;
LVon = tsd(:,2) == CSon; % flags tone onsets
LVoff = tsd(:,2) == CSoff; % flags tone offsets
CSdr = mean(tsd(LVoff,1)-tsd(LVon,... |
26d3cbca6392298db650b16a84c9d656c74b0f3a5705d34d6a5eadc9113269ef | MATLAB | 1,744 | 57 | function compute_all_crop_locs()
lbl_file = '/groups/huston/hustonlab/flp-chrimson_experiments/fly2BodyAxis_lookupTable_Ben.csv';
% lbl_file = '/groups/branson/bransonlab/mayank/stephen_copy/fly2BodyAxis_lookupTable_Ben.csv';
r_params = '/groups/branson/bransonlab/mayank/stephen_copy/crop_regression_params.mat';
cro... |
a201d50686501f2fcd82342ed7108195b97c403963e33feab90090081240b822 | MATLAB | 1,744 | 40 | projectFileName = ...
'/groups/branson/bransonlab/apt/unittest/alice/multitarget_bubble_expandedbehavior_20180425_allGT_MK_MDN04182019.lbl' ;
[labeler, controller] = StartAPT('projfile', projectFileName, 'isInDebugMode', true, 'isInAwsDebugMode', true, 'isInYodaMode', true) ;
%%
pathFromRegularMovieIndex = labeler... |
02ed8bdaa997a4af3b7f908da3740305e25398e1abb26a2366ecd5fdf6caa43e | MATLAB | 1,745 | 37 | function [S] = SAttenuationHigherOrder(opt,PathwaySignalFirstOrder,PathwaySignalHigherOrder,GwaveFirstOrder,GwaveHigherOrder,TransFirstOrder,TransHigherOrder,dt,MSD,idxHigherOrder,GwaveBlock,E1,Sinit)
%%
%Initialise signal amplitude
S=zeros([1,size(MSD,2)]);
%%
%Perform correction to only investigate pathways which co... |
db0d70bd7d256b3075d2638652a082f0104ebb5bde5c15eba71c0573626bebf8 | MATLAB | 1,745 | 81 | function [t p nnpe] = readVTK(fn)
% This is a basic VTK reader that is intended to read meshes with uniform
% number of nodes per elements (ex. triangular surface or tetrahedral
% meshes)
% Written by Hamid Ghadyani
fn = add_extension(fn,'.vtk');
fid = OpenFile(fn,'rt');
s = fgetl(fid);
if isempty(regexp(s,'Version ... |
e92e41dcad96f4eb9f3a7caea16792dd6553b4ac86578de47d975adb58e5d08f | MATLAB | 1,745 | 80 | function [X, y, bs, perm] = logregGradeMH();
% Example from Johnson and Albert p87
%logregGradeData() % X,y,N
stat = load('stat2.dat'); % Johnson and Albert p77 table 3.1
% stat=[pass(0/1), 1, 1, sat_score, grade in prereq]
% where the grade in prereq is encoded as A=5,B=4,C=3,D=2,F=1
y = stat(:,1);
N = length(y);
X ... |
fb15da9f21f68196509866be8bc3dbc83150ad77a94558eebe08ff481343963d | MATLAB | 1,745 | 49 | % HemoRegression.m
% Sarah West
% 9/12/21
% Runs hemodynamic correction on a 2-channel stack by regressing each blue
% pixel against the corresponding violet pixel and keeping only the
% residuals.
function [residual_data, intercepts_data]=HemoRegression(bData, vData)
% Inputs:
% bData-- a 2D matrix of all th... |
a103a32b7860717aa33e8d36a8d3257e4b6f9eba1c2af04d2972a5b5ea282524 | MATLAB | 1,746 | 69 | function [ res ] = fiff_read_hpi_result(name)
%
% [ res ] = fiff_read_hpi_result(name)
%
% Read the HPI result block from a measurement file
%
global FIFF;
if isempty(FIFF)
FIFF = fiff_define_constants();
end
me='MNE:fiff_read_hpi_result';
if nargin ~= 1
error(me,'Incorrect number of arguments');
end
[ f... |
b657dd007ea8ee0b9897b6accebb5913b9ccf17c8554f5e661a9e1adb8c6f382 | MATLAB | 1,746 | 67 | function splitABFFile(varargin)
options.abf_file_name = '';
options.max_file_length = 120; % seconds
options.deltat = 1e-4; % s
options = corelib.parseNameValueArguments(options,varargin{:});
[~,~,file_ext] = fileparts(options.abf_file_name);
[raw_data,dt,metadata]=filelib.abfload(options.abf_file_name);
dt = dt... |
d21dcd447f813264c3ba39534b3b65bc8473916b50dd4d51df39536abc2b9182 | MATLAB | 1,746 | 31 | % 171023 | located the word cues centrally
function StateSwitch_addSurroundingCues_words_171023(expInfo, screenInfo, indRun, indBlock, indTrial)
% adds the surrounding cues for the next flip
% expInfo.Cues = {'Tier?'; 'einsilbig?'; 'gerade?'; 'H?'};
for indAtt = 1:4
posScale1 = 10;
posScale... |
e474363cf6e355dbe7d94c5efba8b3ecd8af06768bd51462dce5994d224b34f7 | MATLAB | 1,746 | 65 | function [val, status] = ft_findcfg(cfg, var)
% FT_FINDCFG searches for an element in the cfg structure
% or in the nested previous cfgs
%
% Use as
% val = ft_findcfg(cfg, var)
% where the name of the variable should be specified as string.
%
% e.g.
% trl = ft_findcfg(cfg, 'trl')
% event = ft_findcfg(cfg, 'eve... |
6348a79ea83fb6c0989e3e95ab8f409d92e2e569d9002b4f91d7a25aef3cc647 | MATLAB | 1,747 | 67 | function [x,y,xhat,vx,yhat,vy] = VBA_comparePredictions(n_t,theta,phi,u,alpha,sigma,options,posterior,dim)
% compares inferred predictive density and real samples
if isempty(u)
if options.microU
u = zeros(1,n_t*options.decim);
else
u = zeros(1,n_t);
end
end
% first get real system's sample... |
9f4231a78a034041373b842932b443f27ca812af49e92a9910de8afb40711498 | MATLAB | 1,747 | 58 | function [PsC_s,best_lag] = PsC(template,sig,lag)
%% Psuedo_Correlation
% Computes the Pseudo Correlation , a finer approach than normal
% correlation for template matching. Please review the paper below in order
% to see why it is much more accurate for the pattern recognition
%% Input
% template : template to be sear... |
bd979b718eab80e03726247a779b2e29456c77d7703e69940c3a8ce992ae0082 | MATLAB | 1,747 | 56 | % K-medoids algorithm
% [idx,dpsim]=kmedoids(S,k,nruns,maxits)
%
% Input:
%
% S Similarity matrix (see above)
% K Number of clusters to find, or a vector of indices
% of the initial set of exemplars
% nruns Number of runs to try, where each run is initialized
% randomly... |
134fa4673f2e31816155948282ee95b5455dfd9d6034b5494cca27213690769a | MATLAB | 1,748 | 79 | %% collapsed Gibbs sampler on DP mixture of 2d gaussians
%PMTKauthor Yee Whye Teh
%PMTKurl http://www.gatsby.ucl.ac.uk/~ywteh/teaching/npbayes/mlss2007.zip
%PMTKmodified Kevin Murphy
% Originally called dpm_demp2d
dd = 2;
KK = 1;
trueK = 5;
NN = 100;
aa = 1;
s0 = 3;
ss = 1;
numiter = 200;
hh.dd = dd;
hh.ss = s0^2/ss^... |
6f9dd7c74bf07c88405d50874859b82ed498e748509e60b628e92e7698d6a39a | MATLAB | 1,748 | 49 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% Remove double detections of R-peaks
%% --> to use after manual detection steps
srmr_nr = 2;
ana_dir = '/data/pt_02151/';
sav_dir = '/data/p_02151/SRMR2_experiment/analyzed_data/Rpeak_detected/';
cfg_path = [ana_dir 'analysis/manuscript_sep/scripts/cfg_srmr2/']; % he... |
fc9113d9e417a362adf2bf15c282e28f41651470eb7131e699f3539800106f2a | MATLAB | 1,749 | 47 | %% LOOK AT AMPLITUDE OF PEAKS, TOO- NOT JUST TEMPORAL LOCATION.
% Looking at correlation of the amplitude of the peaks with the
% number of peak in the significant portion of a trial
mkdir([DIRresultsRipple, '/amplitude/']);
for t=1:num_groups
actual_index = (big_list_indexes{t});
if(length(the_indexes)>0... |
1d4ca76959c29716cc9f7f2516a9d8fe96d05fdc0de375783a8a03a6c88342d5 | MATLAB | 1,751 | 68 | function [FPrate, TPrate, AUC, thresholds] = computeROC(confidence, testClass)
%% Compute ROC curve statistics
%
% Inputs:
% confidence(i) is proportional to the probability that testClass(i) is positive
% testClass(i) = 0 => target absent, testClass(i) = 1 => target present
%
% Outputs:
% FPrate(i) = False positiv... |
955dbfc674e9dc98e88cd2e852b75cf0b95de30ab781a2a030d8519756fa0406 | MATLAB | 1,751 | 50 | %_______________________________________________________________________
%
% showTargets(screenInfo, targets, targetIndex)
%_______________________________________________________________________
%
% Displays the targets identified by targetIndex in the structure targets
%______________________________________________... |
bcbdc934d7e8a0cb6ebc480468242d861d62964c51d935f66e7b567a4a61eb38 | MATLAB | 1,751 | 63 | function [fr_position] = flyFinder(ROI_image, search_size, threshold, flip)
%flyFinder
%
% Usage:
% [fr_position] = flyFinder(ROI_image, search_size, threshold)
%
% This function finds a fly (region of darkness) in an image matrix (ROI_image).
% Locates the darkest pixel in the image, retrieves a "search area"
% (2... |
129673ea125d7947c157ccafa41534285c0b3a1f4cbb824a8a5c50e3e97572e6 | MATLAB | 1,752 | 73 | % Demo for partially observable oscillatory system.
% This demo inverts a model of a linear oscillatory system, which is
% observed through a nonlinear sigmoid function.
clear variables
close all
% Choose basic settings for simulations
n_t = 1e2;
delta_t = 1e-1;
f_fname = @f_lin2D;
g_fname = @g_Id;
u = zeros(1... |
77c76449a9ed3a363377ebc5d4d7e5031e5e481adaa61cd81757f1cf0b932f06 | MATLAB | 1,752 | 59 | %% Detect rois that have large shift in baseline using cusum
% Chad Heer
%INPUT
%data = must be struct with field F data from axon analysis
%OUTPUT
%sig_events = events where baseline significantly shifts
%tonic_activity_roi = ID of axon with tonic activity
%tonic_start = frame where shift in baseline occurs
functio... |
1be7e1137a045fc72c065a1fd18ae0e5e8a844d14fb5adffd4a117b205f4c6e8 | MATLAB | 1,753 | 48 | function PromptHandle=ZachPrompt(Message,MessageTitle,GoodIcon)
if ~isempty(GoodIcon)
if ispc
userDir = winqueryreg('HKEY_CURRENT_USER',...
['Software\Microsoft\Windows\CurrentVersion\' ...
'Explorer\Shell Folders'],'Personal');
dc='\';
... |
64518a93beee398199f1ca6325dbd95e43ede2da743207deed760540365175e4 | MATLAB | 1,753 | 84 | function bandevlist = wlAux_splitEventsByBand(oldlist, bandlist)
% function bandevlist = wlAux_splitEventsByBand(oldlist, bandlist)
%
% This function splits an event list into smaller lists of events that match
% the supplied frequency bands.
%
% "oldlist" is an array of event records per EVENTFORMAT.txt.
% "bandlist"... |
854353891c83742c0622f84c4175a2b0b48670d3f1388cfe11d95bae106d51cc | MATLAB | 1,753 | 72 | clear all;
for s=1:180
load(sprintf('results_eff_hopf_fcrev_movie_MOVIE1sub_%03d.mat',s));
DataMOVIE1(s,:)=FCemp(:);
end
for s=1:177
load(sprintf('results_eff_hopf_fcrev_movie_MOVIE4sub_%03d.mat',s));
DataREST2(s,:)=FCemp(:);
end
task_nsubn={180,177};
trainno=167;
valno=10;
kfold=100;
cl=1:2;
pc=z... |
93c3b46b84ba99e2471868bb4384eb443486cb395e3c4f0aea3110e47bd01813 | MATLAB | 1,754 | 56 | function h = mysigstar(ax, xpos, ypos, pval, color, whichWay)
% replaces sigstar, which doesnt work anymore in matlab 2014b
if ~exist('ax', 'var'); ax = gca; end
if ~exist('color', 'var'); color = 'k'; end
if ~exist('whichWay', 'var'), whichWay = 'down'; end
if numel(ypos) > 1,
assert(ypos(1) == ypos(2), 'line wo... |
0c700339aba7fe92c678b846bfc6b3217bfbd6a09bd821e4248b822d342071c0 | MATLAB | 1,755 | 40 | function TSmakeemptyfield(L,F)
% Makes and empty field at Session or Subject level, so that code that
% assumes existence of a field for that session or subject will operate.
%
% Syntax: TSmakeemptyfield(L,F)
%
% The principal use of this function is for fields at the Session level
% that are looked at by graphics func... |
0f0887c90214edfda6bdd933b36f091c0c535f95e78def9a849365ba0819c5d5 | MATLAB | 1,755 | 46 | function masks = txt2img( strings, h, txtPrp )
% Convert text string to a binary image.
%
% For each input string, creates a binary matrix of dimensions [hxw] that
% when displayed as an image shows the string. See example for usage.
% First, uses text() to display the text using Matlab's display
% functionality. Next ... |
83e42c5f4ce150af2f29b2f4bc8e4fcb318bb64d20c76a2fb1b74755ae2dd231 | MATLAB | 1,755 | 68 | function [canonized, support] = canonizeLabels(labels,support)
%% Transform labels to 1:K
% The size of canonized is the same as labels but every
% label is transformed to its corresponding entry in 1:K. If labels does not
% span the support, specify the support explicitly as the 2nd argument.
%
% Examples:
%%
% str =... |
062c7e857df0ce745633c70553daf6e8e5c62c27d878135bab1cbd9fa31f0a03 | MATLAB | 1,756 | 64 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function bad_channels = prepro_esg_check4badChannels(epo, trigger_name, wait4input)
%% check for bad channels
% input: epoched data
if ndims(epo.data) == 2
cnt = epo; clear epo
load([getenv('CFGDIR') 'cfg.mat'], 'iv_epoch', 'iv_baseline')
epoch_ival = iv_... |
956f0e4f8ceddadc6186d4876c852c8aaccd5064459e242691685c0e834d51d7 | MATLAB | 1,756 | 70 |
%%%%%This package written by robert wilson, freely available at
% https://github.com/d-r-b-o-b/UsefulMatlabFunctions%%
function tb = addABCs(ax, offset, fontsize, abcString)
% tb = addABCs(ax, offset, fontsize, abcString)
%
% Add letters to axes
% Inputs:
% ax - axes handles
% offset - 2x1 vector o... |
1c1aae8922adea6b4dc782d0943e18ab931b20e0173dc9de2bd711f18bd9dc72 | MATLAB | 1,757 | 52 | function ep = VBA_ExceedanceProb(mu,Sigma,form,verbose,Nsamp)
% calculates the exceedance probability for mutivariate Gaussian variables
% function ep = VBA_ExceedanceProb(mu,Sigma)
% IN:
% - mu/Sigma: sufficient statistics of the pdf
% -> if form='gaussian': mu=E[x] and Sigma=V[x]
% -> if form='dirichlet... |
817cf61ec52ead3bba95331faae85dd9e6b2eb3b65a8471847ce10b1c2ff0a8d | MATLAB | 1,758 | 45 | %% Note all the relevant filepaths
%A few manual parameters to set upfront
% There is a yaml file with all the major parameters of the experiment. We
% will use the name of that yaml file as the experiment_name throughout
% EXPERIMENT_NAME = 'cruk';
%Where do load/save the files for this experiment?
ROOTDIR = '/User... |
ef34c789311867c6b66efa8e618d466dd1be085d328b8cdb6349991c72465281 | MATLAB | 1,758 | 48 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% f13_create_plots -- Create the surface potential, and surface magne- %%
%%% -tic field plots for the dipole source with no noise. %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
eps0 = 8... |
35923ded157ca89c164810e24afd4f5d618bcf80c8480e7a3a7c7ddb7380adfa | MATLAB | 1,759 | 47 | function [fi,ind] = interpF(F,n,s1,s2,s3,h)
%% returns interpolated function value fi = F(s1,s2,s3)
% where s1 = row index, s2 = col index, s3 = depth index
%interpF(V,n,xi,xj,xk) == interp3(par.Yc,par.Xc,par.Zc,V,xj,xi,xk)
if nargin < 6
h = [1,1,1];
end
fi = zeros(length(s1),1);
[n1,n2,n3]=deal(n(1),n(2),n(3... |
3bedb5a587108523cbe4cd12b5f110b4492ce480dd0364a7c9260f807e12fa43 | MATLAB | 1,759 | 71 | function applyCARtoDat(filename, nChansTotal)
% Subtracts median of each channel, then subtracts median of each time
% point.
%
% filename should include the extension
% outputDir is optional, by default will write to the directory of the input file
%
% should make chunk size as big as possible so that the medians of ... |
c30afda7547e6836bbdd95c8418c54ec10d4b0571fbcbe9ef136e73ab8eddce2 | MATLAB | 1,759 | 66 | %% pxTools_getTransitionMatixFromDC
% Utility to preview the transition matrices given a set of parameters.
% Trevor S. Smith, 2022
% Drexel University College of Medicine
function [mat] = getTransitionMatrixFromDC(xtData, XT_DC_CH_NO, varargin)
p = inputParser;
addParameter(p, 'N_BINS', 20);
addParameter... |
cfbe7308c87817eaf7a1a740c0a09fb9ad49a667b13909fe1825d3d9d1fe4c2f | MATLAB | 1,759 | 55 | function mapped = mapids(ids, obj)
% mapids Map Imaris IDs to object types
%
% Syntax
% ------
% mapped = mapids(ids, obj)
%
% Description
% -----------
% mapped = groupids(ids, obj) creates a containers.Map object that
% assigns object IDs to keys that co... |
34a75456d93d63f875db9a350ea24c53635648d07df626c26308bbc665b64a65 | MATLAB | 1,760 | 70 | %% Gauss Imputation Demo using ICM
%
%%
% This file is from pmtk3.googlecode.com
function gaussImputationICMDemo()
setSeed(0);
d = 10;
mu = randn(d,1); Sigma = randpd(d);
% Training data is larger than test data, and is missing data at random
[XfullTrain, XmissTrain] = mkData(mu, Sigma, 100, true);
% Test data omi... |
df315320184243e14bca291a642aa02853a998959ff6a64911857045bb304e03 | MATLAB | 1,760 | 56 | function h = mysigstar_glme(ax, xpos, ypos, pval, color, whichWay)
% replaces sigstar, which doesnt work anymore in matlab 2014b
if ~exist('ax', 'var'); ax = gca; end
if ~exist('color', 'var'); color = 'k'; end
if ~exist('whichWay', 'var'), whichWay = 'down'; end
if numel(ypos) > 1,
assert(ypos(1) == ypos(2), 'li... |
4df1c5332ad9450d2e6da18f634a1cba6c58b145c49d923fb5e3afb27dd526fd | MATLAB | 1,761 | 59 | function [ network_lengths ] = skeleton_analysis( cell_mask, name )
% function: Short description
%
parameters; % load parameters
% ---------------------------- Skeleton generation -----------------------------
disp('Skeleton generation:');
tic
skeleton = Skeleton3D(logical(cell_mask));
toc
% Save the skeleton as a ... |
911f4d567335c31eeefce954a024e96626096f5bd688619156d6ab4fea316bc6 | MATLAB | 1,761 | 60 | %% Visualization of error versus amount of regularization
%
%% Ficticious bias,variance,error functions
% This file is from pmtk3.googlecode.com
varFN = @(lambda) 0.012 -(0.025/4)*lambda;
biasFN = @(lambda)((2.5.^(1.5*lambda-2.5))/20)+ 0.0012;
biasvarFN = @(lambda) varFN(lambda) + biasFN(lambda);
testerrorFN = @(lam... |
c64708fb8f106c56171d3be080a6f0d057e3526e538640436ab8f464479280f7 | MATLAB | 1,761 | 50 | %% Illustration of Newton's method for a non convex function.
%
%%
% This file is from pmtk3.googlecode.com
function newtonsMethodNonConvex
figure(); hold on;
xmin = -4; xmax = 13;
ymin = -50; ymax = 600;
domain = xmin:0.01:xmax;
f = @(x)-x.^3 + 15*x.^2;
Xk = 8;
f1 = @(x) -3*x.^2 + 30*x;
f2 = @(x) -... |
4163307e8c3fc8d902ceee9926ea7ef9449d5fc49a71cc4f97915510e9bef894 | MATLAB | 1,762 | 84 | function iimg_weighted_ttest(image_names,varargin)
% fast weighted test
%
% :Examples:
% ::
%
% iimg_weighted_ttest(image_names,'mask',maskname)
%
% ..
% Tor Wager
% ..
% ..
% Set up arguments
% ..
maskname = deblank(image_names(1,:)); % defaults
w = []; varY = []; bcon = [];
% inputs
for i = 1:length(varar... |
4888401ee5d1609b46f1b32924e645df14cbd3fae904a233c426a533c815ba68 | MATLAB | 1,762 | 58 | function [lf] = inf_medium_leadfield(rd, pnt, cond)
% INF_MEDIUM_LEADFIELD calculate the infinite medium leadfield
% on positions pnt for dipole position R and conductivity cond
%
% [lf] = inf_medium_leadfield(R, pnt, cond)
% Copyright (C) 1998, Robert Oostenveld
%
% This file is part of FieldTrip, see http://... |
908b87712e46fdd2512bc38127eeb2b68090dd55a95381b05c6c6a9137facf2f | MATLAB | 1,763 | 38 | % Script for running a simple ex-Gaussian analysis
% =========================================================================
%
% Dependencies:
% - MATLAB's Statistics and Optimization Toolboxes
% - John D'Errico's fminsearchbnd file: http://bit.ly/Ky3xll
%
% Explanation of variables:
% y - Nx1 vector of ... |
f094415f431670a5b98d2c1f370c93216bcdaea291453b0a6b48f08af4555790 | MATLAB | 1,763 | 61 | function data1 = setup_MISA_MMIVA1(M,X,W0,dist_type)
nComp = size(W0{M(1)},1);
S = cell(1,max(M)); % Cell array: each cell contains a matrix K x C(m).
% Each k-th row has 0's and 1's to indicate what sources go within the k-th subspace in dataset m
for mm=M
S{mm} = sparse(1:nComp,1:nComp,1,nComp,nComp,nComp);
... |
3f27fac803603a23b8f4f714530a07d714b213a2bd2393eede6251f1abdc1792 | MATLAB | 1,764 | 76 | function dir_path = lastdir(new_path)
%LASTDIR Remembers the last directory used for use in UI browsing dialogs.
% Usage:
% dir_path = lastdir
% lastuidir(new_path)
%
% Args:
% new_path: relative or absolute path to a folder or file.
% Saves parent folder if path to a file is specified.
%
% Returns:
% dir... |
55e9ddf424de789b3631136b5a04cda91eb4d972ccb4002b1ea6768f1a94f43c | MATLAB | 1,764 | 46 | function otherFormat = convertTime(secondsOrString, minFields)
% Convert between a number of seconds and the string representation.
% TODO: unit tests
if ischar(secondsOrString)
% The string should be in the format xx:xx:xx.xx xx:xx.xx or xx.xx.
pieces = regexp(secondsOrString, ':'... |
69adaa7666700aad29bab3822958e737f101576901fae7a540b8d2ba26f56508 | MATLAB | 1,764 | 53 | function [grid1,grid2] = generate_2d_grid(l1,l2,grid_image,plotflag,rotation)
if(nargin<5)
rotation = NaN;
end
if(nargin<4)
plotflag = 1;
end
[grid1,grid2] = meshgrid(l1,l2);
grid1 = grid1';
grid2 = grid2';
if(~isnan(rotation))
[grid1,grid2] = rotate_grid(grid1,grid2,rotation);
end
... |
a63fd7279461f925ab42595c8a40c9381c83d6a285b5a6853499a726b8c5964c | MATLAB | 1,764 | 53 | function peaks = FindPeaks(dat, s, varargin)
% M. Farries 4/5/2017
% Simplified version of Murat Okatan's get_peaks
% Finds peaks is dat at scale s, which should be an odd number.
% dat is a matrix, nSamples X nChan.
% Optional 3rd argument: "polarity" of the peaks being sought: +1 = positive peaks, -1 = negative ... |
a9010169dcd149e5bc14a6ceeb9044840ca8ed3fafcb5d97b71ba551f279ac2c | MATLAB | 1,764 | 34 | function uc = GetUnicodeChar(character)
% Get the unicode char value for a unicode character
% gc = GetUnicodeChar('character' [string])
% gc = GetUnicodeChar('Mu')
% The 'character' requested is case sensitive. 'Gamma' ~= 'gamma'
% If 'all' is passed then a structure containing all character will b... |
06588934d03cac4d439e6361ab1b9dc674f913c4dd255029635e09b4c92d1553 | MATLAB | 1,765 | 46 | function [array] = distFilter(array, teleDistThreshold)
numAvg = 5;
% Teleport filter. Removes spurious points where fly position teleports all
% over the vial due to a false track.
teleFiltNum = 0;
for dim = 2:2:size(array,2)-1
for numPoint = (numAvg+1):(size(array,1)-numAvg)
point = array(numPoint, dim:... |
689916999c45d33ae699b572c816daf0048c0584f20827598c3de2375bbd5c4f | MATLAB | 1,765 | 62 | function mesh = make_rectangle(sizevar)
% mesh = make_rectangle(sizevar)
%
% Creates a 2D rectangular mesh
%
% sizevar.width - width
% sizevar.height - height
% sizevar.xc - x center
% sizevar.yc - y center
% sizevar.dist - distance between nodes
% error checking
if ~isfield(sizevar,'xc') || ~isfield(sizevar,'yc')... |
8d8a394383839b58ffdbd3fbb1f0013432121eea00b7ec9d1b90cc6237ea29ce | MATLAB | 1,765 | 40 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% The script prepares the design.mat and design.con files needed to run %
% FSL randomise
%
% (1)https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#Single-Group_Average_with_Additional_Covariate
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
9093382a523628f549536b4262943db1bcb42003f43cec3aaf94f41f432f63f2 | MATLAB | 1,765 | 56 | function C = plus(A,B)
%PLUS Binary addition for sparse tensors.
%
% PLUS(A,B) is called for the syntax 'A + B' when A or B is a sparse
% tensor. A and B must have the same size, unless one is a scalar. A
% scalar can be added to a sparse tensor of any size.
%
% Examples
% A = sptenrand([4 3 2],5); B = sp... |
968c8e1fe6b8c5c89418a2c8c8c54e7fcff27e6112c40910b43b910f0878b5f6 | MATLAB | 1,765 | 61 | fprintf(1,'Recomputation of the image corners using Lucchese''s saddle point detector\n');
q = input('This detector only works for X junctions (checker board corners). Is this the case here? ([]=yes, other=no)','s');
if isempty(q),
ima_proc = 1:n_ima;
fprintf(1,'Processing image ');
for kk... |
422ef54a02a206f725077b7b3c7e7157c3c1303ef94d4b75938244fa198726a8 | MATLAB | 1,766 | 53 | function normalizeImage_cuda(src_folder_name,dst_folder_name,fileroot_name,channels,roundnum)
loadParameters;
%Check for any missing image file
chan_filenames = {};
for c_idx = 1:length(channels)
filename = fullfile(src_folder_name,sprintf('%s_round%.03i_%s.%s',...
fileroot_name,ro... |
a106738a71b1cd134a8c8d0b1467bf356294c71ab7fe229be78cae03328b0148 | MATLAB | 1,767 | 72 | % addpath('../generic/');
% addpath('../analysis_reclassif/');
%%
n_datasets = 8;
fig_made = 0;
for idataset = 1 : n_datasets
% addpath('../analysis_explore/');
dt_ms = 25;
par = par_sess{idataset};
D = get_data(dt_ms,[],idataset, par);
% struct2vars(D);
filt = ones(size(D.RT))==1;
... |
bed285f3e3e5de9b32d9ca6ddb3427db9192523525674ece1b4a27f2882f642f | MATLAB | 1,767 | 45 | % Written by Einat Peled
% einatspeled@gmail.com
%
% Get a vector of response amplitudes
% ImageArray_CorrAmp_norm_InMax: contains images with highest-value pixels at all response locations
function Vector_RF_CorrAmpNormValues_AllNMJ_Grouped = GetRFAmpValues_Array_Grouped(ImageArray_CorrAmp_norm_InMax, ImageAr... |
d7408d429c43151b185b22c75190636ae91f97a1a891344dd6d9775e2b1fb473 | MATLAB | 1,767 | 46 | function [Contour, GHeader] = y_Contour_Surf(LabelFile, SurfFile, AResultFilename)
% Calculate Contour from the 2D surface brain
% FORMAT [Contour, GHeader] = y_Contour_Surf(LabelFile, SurfFile, AResultFilename)
% Input:
% LabelFile The input Label file
% SurfFile - The surface file
% ARes... |
cbf694492c48682e2bbe96e4853cbd011469f2c58e0f4d235c865cf367aa5cba | MATLAB | 1,769 | 53 | % Code taken from Paul Scovanner's homepage:
% http://www.cs.ucf.edu/~pscovann/
% Calculate 3D Sift
% img is the input in question.
% keypts is an Nx3 matrix of keypoints
% returns keypoints
% struct
% key.x, key.y, key.z voxel indices
% key.xyScale and key.tScale - affects both the scale and the reso... |
19cb102c7d1631a6074a98f6d35aae5033cf1ea71f8ca53340bb1011a2a3b93b | MATLAB | 1,770 | 54 | % WEIGHTED CORRELATION
% Linear correlation between time and position weighted by the associated posterior probability
% INPUTS: decoded_position (e.g. decoded replay event); T as vector of time bins; P as vector of position bins
function output = weighted_correlation(decoded_event)
pixel_size = size(decoded_event);
... |
a47fd0146c6fa65d64352a20955113b35096dab56c6d79bcd4350bed4347ae1d | MATLAB | 1,770 | 27 | % This function bins the bump velocity residuals by the bump's position
function [Binned] = Bin_Bump_Velocity_Residuals(AllFly, HD_Bin_Edges)
% Loop over flies and do the binning
Binned.Left_N=[]; Binned.Bump_HD_Good_Left=[]; Binned.Bump_AV_Good_Residual_Left=[]; Binned.Bump_AV_Good_Residual_Left_STD=[];... |
bedcf2b4790b89108f1ca685ec3238219eb7e787cef656878391b533443fb62d | MATLAB | 1,770 | 74 | function [gx, dgdx, dgdp] = g_QLearning (x, P, u, in)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [gx, dgdx, dgdP] = g_QLearning (x, P, u, in)
% softmax decision rule for Q-learning (N-armed bandit task)
%
% IN:
% - x: Q-values
% - P: (1) inverse (log-) temperature
% (2)... |
d1baeefc7a5d44aa9098e38f199009e53f81100b8047b3fc54a0ba34e5d359d5 | MATLAB | 1,770 | 53 | %% getidealaxislength
% Utility to find an ideal axis length, given a maximum/mininum observed value
% Used to commonly set many subplots
% Essentially finds the nearest whole number of the significant digit
%
% INPUT:
% Y = A single number, representing the aggregate max or min of
% values to plot
% MODE: '... |
d421cc9037c5533b25a38e78abec1b38b8445901fa618d68eb891b920669daa5 | MATLAB | 1,770 | 29 | function [options] = defaultOptions_mcbDNMF()
%[options] = defaultOptions_mcbDNMF()
% Size of image patches
options.patchSize = [64 64]; % Size of image patches
options.stride = 56; % Offset of image patches
% Initial ROI detection parameters
options.DETREND_FRAMES = 45; ... |
dd683e7fc1b3d2ac765a61f22a511ea79e630612f5af6263f73f09a1848e0506 | MATLAB | 1,770 | 49 | function PlotFigure1(vars,varNames)
% Plot Figure 1c-d
% if no inputs, will load figure source data file
if nargin==0
load('Figure 1 - Source Data 1.mat', 'vars', 'varNames')
% vars is struct with fields of [nPP, nConds, nDrug] trial means
end
lineColours = get(gca,'ColorO... |
ee63e57990e129fe2d9130d62394d243c62bf49cf247657283cf71129c2e3ef9 | MATLAB | 1,770 | 54 | function mix = gmmunpak(mix, p)
%GMMUNPAK Separates a vector of Gaussian mixture model parameters into its components.
%
% Description
% MIX = GMMUNPAK(MIX, P) takes a GMM data structure MIX and a single
% row vector of parameters P and returns a mixture data structure
% identical to the input MIX, except that the mix... |
1e49c6845b01cd2f216e5813bdd5df7bfbb78d56d21cbb4a2c447b0fb8e2d7cd | MATLAB | 1,771 | 73 | % 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 Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
8b24f451271faa616a89f8c30835b7260ab21501120f0d92cf2c9d90025e9587 | MATLAB | 1,771 | 83 | % [mu,S,priors] = mygmm(X,k,...)
% Input:
% X: N x D matrix of N D-dimensional data points
% k: number of clusters
% optional:
% 'Replicates' = 1
% 'CovarType' = 'full'
% 'display' = -1
% 'precision' = .0001
% 'ResetCovar' = 1
% 'MaxIters' = 100
% 'Start' = 'furthestfirst'
% 'distance' = 'sqEuclidean'
% 'weights' = []
... |
7c32723bce50adf2ffd9191bc24bcd43ee5a6ee6bbe4f3c389ea395b8c943113 | MATLAB | 1,772 | 43 | function [parameters] = saveVelocities(parameters)
% Give parameters their original names
k = parameters.k;
wheel_Hz = parameters.wheel_Hz;
fps = parameters.fps; % sampling rate of encoder
channelNumber = parameters.channelNumber; %
skip = parameters.skip;
frames = parameters.frames;
... |
0223877905597c6181c59073467e5f87fcb5ccde982a32ba8873a4d8cc9c4641 | MATLAB | 1,773 | 73 | %% Sequential Bayesian updating of (mu,sigma) for a 1D gaussian
%
%
%% Uninformative prior
% This file is from pmtk3.googlecode.com
m0 = 0;
k0 = 0;
v0 = 0; % 0.01;
S0 = 0; % 0.01;
%% Sample data
truth.mu = 5;
truth.Sigma = 10;
setSeed(1);
X = colvec(gaussSample(truth, 100));
xyrange = [-5 15 eps 15];
figure; ho... |
17b6efe3bd7ab19a0c940bd552ec24c43aa46a4594573fc4e649c83d0140b667 | MATLAB | 1,773 | 61 | %% DownSampling
Data_465=[input('465nm data name=','s'),'.csv'];
Data_405=[input('405nm data name=','s'),'.csv'];
Ds_Data_465=Downsampling(Data_465);
Ds_Data_405=Downsampling(Data_405);
%% Show figure
plot(1:size(Ds_Data_465,1),Ds_Data_465(:,2));
xticks(0:100:size(Ds_Data_465,1));
%% Trimming
Trim_time=200;
T... |
120c3dfacac1d97727ada40660387cd5dbc01c6e1d62a027fad39e39a8f71c81 | MATLAB | 1,774 | 51 | function sites = sorw_GetSites(A,Nstep,x0,normalizeProb)
% nodes of the arena in the self-organized random walk
% A -> [N,N] adjacency matrix (either weighted or binary)
% A(i,j) = p_ij (probability of stepping from j to i)
% Nstep -> matrix containing the number of steps from nodes j to i
% x0 -> value to... |
3fa9602175b8a63a3505a883a30a168e85036b46a15afcb07337ef5bd0a89609 | MATLAB | 1,774 | 44 | function [index_num, index_link,index_num_mask] = sources_active_index(mesh)
% SOURCES_ACTIVE_INDEX Calculates permutation vectors for mesh sources.
%
% [INDEX_NUM, INDEX_LINK, INDEX_NUM_MASK] = SOURCES_ACTIVE_INDEX(MESH) MESH
% is NIRFAST mesh structure.
% INDEX_NUM - n by 1 vector where n is the number of acti... |
5124d86221f61c13ffea4fe7be42632e4e77d2fe963e6c974568a7ec084db390 | MATLAB | 1,774 | 54 | function [L,filters] = gaussSmooth( I, sigmas, shape, radius )
% Applies Gaussian smoothing to a (multidimensional) image.
%
% Smooths the n-dimensional array I with a n-dimensional gaussian with
% standard deviations specified by sigmas. This operation in linearly
% seperable and is implemented as such.
%
% USAGE
% ... |
47059ee6d5e406beb946ecc472ab16be14430bcf9b38ef63e76b9e44eeaec1f9 | MATLAB | 1,775 | 64 | function [w, stderr, pval, R2, sigma2, confint, Zscore] = linregParamsFrequentist(y, XX, names, useLatex)
% Frequentist inference for regression weights in a linear regression model.
% This is similar to R's lm function or Matlab's regress function.
% Each row ox X is a training case, excluding the first column of 1s
... |
03488226c22a2e6726e4c274619faa89b883ee031d9bc45699836b4bfe96fe91 | MATLAB | 1,776 | 63 | function savefaststruct(filename, savestruct)
% savefaststruct: fast saves of large arrays to .mat files
%
% Matlab's 'save' command can be very slow when saving large arrays,
% because by default Matlab attempts to use compression. This function
% provides a much faster alternative, at the cost of larger files.
%
% 's... |
2d201a471c08c76974fced0b65324f1ac555df29ed8ee62badb292168964abee | MATLAB | 1,776 | 63 | %% clear workspace
close all;
clear all;
clc;
%% globals
beta_ranges = [[13 20];[20 30]];
%% load tf data
addpath C:\code\spm12
spm('defaults','eeg')
addpath('C:\Code\fieldtrip-20210302')
addpath('C:\Code\wjn_toolbox')
% Dt=spm_eeg_load('data/iEEG/tf_spm_ecog.mat');
% ft_defaults
Dt=spm_eeg_load('D:\ECoG_Atlas\iEEG\i... |
86899e0c35e9f4ad32120a31dc68ebf15fabc8b5e9979cddaec0bb68ce6e4de0 | MATLAB | 1,776 | 45 | function [ events auxwaves auxdata ] = wlProc_doSegmentAndParamExtract_MT( ...
wavedata, samprate, bpfband, segconfig, paramconfig)
% function [ events auxwaves auxdata ] = ...
% wlProc_doSegmentAndParamExtract_MT( ...
% wavedata, samprate, bpfband, segconfig, paramconfig)
%
% This function performs event segm... |
c51eafa5e07f686852428ed17d925d863fd001622bb34386e12e2fe68d038abf | MATLAB | 1,776 | 48 | %% SAT - app_input::
%% helper.checkColumns
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Check whether the old_column_cell and current_column_cell
% has the same character data
% Parameters: old_column_cell - 1xN cell containing char/str
% new_column_cell - 1xN... |
9eddf58202bdbe017cd7e458b6e9c69805352c55478fd1d44fdac721064950e7 | MATLAB | 1,777 | 63 | function [D0,phisq0] = lme_fit_init(X,Zcols,y,ni)
% [D0,phisq0] = lme_fit_init(X,Zcols,y,ni)
%
% Starting values for linear mixed-effects iterative estimation.
% These starting values are based on the ordinary least squares estimators.
%
% Input
% X: Ordered design Matrix (according to time for each subject).
% Zcols... |
aaecb677de133a71d9e2f7820187d479b8287656f4c91b66868905802351976d | MATLAB | 1,777 | 54 | % 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 Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
961ea17bc240ff871488a2a2afd9e9a58a35b599f1f9e713f9d3a8af8a56b670 | MATLAB | 1,778 | 68 | function [p, p1] = permtst2(x, y, Nit)
%PERMTST2 Permutation test for means of non-paired data vectors
%
% [p, p1] = permtst2(x, y, Nit)
%
% Establishes whether two data sets have significantly different
% means. It makes Nit Monte Carlo permutations of the full [x y]
% data. Returns the probability p that differenc... |
f8cdded9b011fee9bd9b3ce5f0c3c0a9702e07a85b6489fcfc49f76ed51227e9 | MATLAB | 1,778 | 95 | function [fc,cc,kc,alpha_c,Rc,Tc,omc,nx,ny,x_dist,xd] = willson_convert(Ncx,Nfx,dx,dy,dpx,dpy,Cx,Cy,sx,f,kappa1,Tx,Ty,Tz,Rx,Ry,Rz,p1,p2);
%Conversion from Reg Willson's calibration format to my format
% Conversion:
% Focal length:
fc = [sx/dpx ; 1/dpy]*f;
% Principal point;
cc = [Cx;Cy];
% Skew:
alpha_c = 0;
% Ex... |
2fe0a54866c7a64ab24b073695965178e03374467ed445e5aa7f671625d8ec77 | MATLAB | 1,779 | 37 | function DataStructure=LinearFit_ZN(Xdata,Ydata)
if size(Xdata,1)<=1&&size(Xdata,2)<=1&&size(Ydata,1)<=1&&size(Ydata,2)<=1
warning('Need to provide more than one data point to fit!')
DataStructure=[];
elseif size(Xdata,1)~=size(Ydata,1)||size(Xdata,2)~=size(Ydata,2)
warning('Need to pro... |
fa6704eb8530c818883542d26eaa5d1d59d5703c8aa6b4b4e4c0ea4d6b010b37 | MATLAB | 1,779 | 48 | function op = removeExtraDecodeStructFields(resultsStruct_variedDecode, varargin)
% Remove un-necessesary fields from the decoding struct
%
% resultsStruct_variedDecode = utils.removeExtraDecodeStructFields(resultsStruct_variedDecode);
%% Parse inputs
inputObj = inputParser;
addRequired(inputObj, 'resultsStruct_varie... |
413db73a537813339b1b9acf4ad2a3ae199ab38974ba4a388b499318b69b0669 | MATLAB | 1,780 | 49 | function orthobasis = tangentorthobasis(M, x, n)
% Returns an orthonormal basis of tangent vectors in the Manopt framework.
%
% function orthobasis = tangentorthobasis(M, x)
% function orthobasis = tangentorthobasis(M, x, n)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the mani... |
6624a67e4d20cf967857b3412da2682a917db4dabd0ba7b9ce3c1d08461b4ece | MATLAB | 1,780 | 54 | function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Examples :
% N=512;noise=noisecu(N);mean(noise),std(noise).^2
% subplot(211); plot(real(noise)); axis([1 N -1.5 1.5]);
% su... |
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