sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
60dd19dde40e9d1fd131c6cc1d1cb46f3bc4c3ea034b798b17afc06ef3b3d450 | MATLAB | 1,285 | 62 |
%{
Example:
Graph is this:
1
/ \
2 3
|
4
Let us tie the 1-2 and 1-3 edges.
%}
G = zeros(4,4); G(1,[2 3]) = 1; G(2,4) = 1; G = mkSymmetric(G);
Nnodes = size(G,1);
edgePot12 = [1 2; 3 4];
edgePot24 = [5 6; 7 8];
edgePots = zeros(2,2,2);
edgePots(:,:,1) = edgePot12;
edgePots(:,:,2)... |
3cd5e28b52eaa89b219cf5a8697794626dfb215ee5486dfe0b18db2ca27b7db1 | MATLAB | 1,286 | 35 | function Data = yw_ReadOrganizedData(InputName)
% deal with the InputName
if iscell(InputName)
FileList = reshape(InputName, [], 1);
elseif ischar(InputName) || isstring(InputName)
if ~exist(InputName, 'file')
error('yw_ReadOrganizedData:InvalidInput', 'File not found: %s', Inp... |
b0d0641ca44305f73e84ad18bfcb0d83d8277c97590e03d4337d3a858c875c7e | MATLAB | 1,286 | 61 |
function lead0=getleadfield_sphero(x1,n1,para);
if isfield(para,'senslocs')
senslocs=para.senslocs;
sensus=para.uall;
sensds=para.dall;
[nsurf,ndum]=size(x1);
[nsens,ndum]=size(senslocs);
lead0=getlead(sensus,sensds,senslocs,x1,n1);
else
lead0=0;
nsens=1;
end
if isfield(para,'refloc')
re... |
f2e58aa79d1c1e60d6bcf3c9c36f1c9d9a525f7ff59347013b8469d6aa7249fc | MATLAB | 1,286 | 38 | function tol = GLM_tolerance(X0)
% computes regression tolerance of a given design matrix
% function tol = GLM_tolerance(X)
% In the context of multiple regression, tolerance measures how well each
% regression weight can be estimated, given that the design matrix may
% suffer from multicollinearity. Note: multicolline... |
08b60f1b0464c31093b4eeda55f13b288ffc01e7383cf50e821a334421631ad9 | MATLAB | 1,287 | 50 | function colorim = h_createGOMImage(red,green,blue,climitr,climitg,climitb)
warning off MATLAB:divideByZero;
green = double(green);
red = double(red);
blue = double(blue);
if ~(exist('climitg')==1)|isempty(climitg)
temp2 = sort(green(:));
climitg = [temp2(round(0.05*length(temp2))),temp2(round(0.99*l... |
3ba214ea466cf0f49b2fd86ad18faca38e6b5b4e75510b24bd4735e559e676bc | MATLAB | 1,287 | 35 | % At startup, matlab will find a file startup.m assumed to be located in directory specified by
% the environmental variable MATLABPATH (see http://www.mathworks.com/help/matlab/ref/startup.html).
# Written by Csaba Orban and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
if (~isd... |
cd93d2f826f43c28138c75022741da6feb5df1668166264ecd9c78ee7da9ed68 | MATLAB | 1,287 | 62 |
M = M4_cropped;
T = size(Tracecellsdf,2);
%ContoursAll=ContoursAll';
for i = 1:length(ContoursAll)
Contour = ContoursAll{1,i};
Contour = Contour';
ContoursAll{1,i}=Contour;
end
raw_traces= zeros(length(ContoursAll),T);
for i = 1:length(ContoursAll)
BW1=zeros(size(M,1),size(M,2));
cont=cell2mat... |
fc13600f0873abac15d7239ff0a67f8e360fded7b6a5c71b13a9e9a33d6478ed | MATLAB | 1,287 | 51 | %% Fit an HMM and an equivalent DGM and make sure the results agree
%
%%
% This file is from pmtk3.googlecode.com
setSeed(2);
%% sample data
nstates = 10;
d = 13;
T = 11;
nsamples = 15;
hmmSource = mkRndGaussHmm(nstates, d);
[Y, Z] = hmmSample(hmmSource, T, nsamples);
Y = cellwrap(... |
313a30bdc9b5b25597c1f1dc41b28af6d8f1a2ddac7b222319194db27ac40f5d | MATLAB | 1,288 | 24 | function [Epri, Ppri] = bemf3_inc_field_electric_plain(strdipolePplus, strdipolePminus, strdipolesig, strdipoleCurrent, Points)
% Computes potential and electric field from the dipole distribution via the FMM
% at observation points (Points)
%
% Copyright SNM 2018-2020
% Define source (pole) positions and ... |
58b52c243a4e68067b83a91137bda4da41e7eedb892fdf5da52dfa1efc307fb7 | MATLAB | 1,288 | 25 | function [normalized_weigthing] = region_source_weighting(centroid,aal_node,sourcemodel)
% aal_node: array comprised of indices of sources in region
% example: aal_node=find(source_aal.tissue==1);
% sourcemodel: is the source model structure
% centroid: source index that represents the centre source
centroid_dis... |
be9e3a416092100ee46298c3a8e844ab27aab7d7a4baa91e1f30ec46ba0ae0fe | MATLAB | 1,288 | 57 | %XMLDEMO3 Demonstrate how to convert an XMLtree in a simple structure
%
% Description
% This script demonstrates the use of the xmltree class to
% convert an XMLtree (when possible) in a simple structure.
% This can only be performed when the XML file is simple enough
% (one element cannot have more than one ... |
08e74887e3f66737a431e8c626c82f1e04a2ddd156546b053b4c5fad09f8a65f | MATLAB | 1,289 | 37 | function [alligned,allignedIndex,K] = getaligneddata(data,index,range,artifact)
% [alligned] = getaligneddata(data,index,range)
% index Tx1 = The sample index of the trigger
% range 1x2 = range(1) samples before and range(2) samples after the
% trigger index
% data : Multichannel data first dimension is the sample... |
b05a78ad16e29e852790a9023d0ccc8ad4d342da357c3010d79e487fb093d480 | MATLAB | 1,289 | 63 | function RT = rt_del(RT,ind,inv)
% v.0.0.4
% <*LAN)<]
%
% 31.03.2014 PB: (Descomete lan_check, puse opsion para no ordenar, REVISAR!!)
% 26.04.2013 (agregue condiciones para que no se caiga)
% 07.01.2013
% 08.08.2012
% 03.04.2012
if numel(ind)==1 && ind==0
return
end
if islogical(ind)
ind=find(ind==1);
end
... |
e6c69a2137018313a9c63c49dca5aed5fee4304ab109d34d02b22fc770cdce90 | MATLAB | 1,289 | 53 | function A=mkfilt_eloreta(L, gamma);
% Code by Guido Nolte with minor modifications by Stefan Haufe
[nchan ng ndum]=size(L);
LL=zeros(nchan,ndum,ng);
for i=1:ndum;
LL(:,i,:)=L(:,:,i);
end
LL=reshape(LL,nchan,ndum*ng);
u0=eye(nchan);
W=reshape(repmat(eye(ndum),1,ng),ndum,ndum,ng);
Winv=zeros(ndum,ndum,ng);
winvkt... |
f035e71f36ccb54ce44b82daa507f2d38b2ae226098424cde36d439ae97a3c0a | MATLAB | 1,289 | 40 | function [subs,vals] = find(t)
%FIND Find subscripts of nonzero elements in a tensor.
%
% S = FIND(X) returns the subscripts of the nonzero values in X.
%
% [S,V] = FIND(X) also returns a column vector of the values.
%
% Examples:
% X = tensor(rand(3,4,2));
% subs = find(X > 0.5) %<-- find subscripts of valu... |
2761d93442dd15b78267cad1b6158ad95f45108bc990ed45cc8bb5d7108011d8 | MATLAB | 1,290 | 38 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef StimulationEventData
%STIMULATIONTAGBLOCK Structure that contains the data describing a
%marked, stimulation portion of a file
properties(SetAccess = private)
%ID: Number t... |
45d188ca89136907f953ba0dded77210953504f5809426a953967ac4de4bccbf | MATLAB | 1,290 | 30 | function y=umaxbert(u);
%UMAXBERT Determination of the maximum value of u for Bertrand distribution.
% Y=UMAXBERT(u) is the function Y(u)=(H(u)+u/2)/(H(u)-u/2)-fmax/fmin.
% Doing UMAX = fzero('umaxbert',0); gives the maximum value for U in the
% computation of the Bertrand distribution. For this distribution,
% H(... |
870ad7d0e78edf61ba91b91b436751fc4d7b747d10e7e6a81612cc2e3d7e8965 | MATLAB | 1,290 | 40 | %% Sequential Bayesian Updating of a Beta-Bernoulli model.
% In this example we draw samples from a Bernoulli distribution and then
% sequentially fit a Beta-Bernoulli model, plotting the posterior of the
% parameters at each iteration.
%% Sample
% This file is from pmtk3.googlecode.com
setSeed(0);
mu = 0.7; % 70%... |
8cadf120427871d50553a985ae7714a1ce4f4825af4dc74a04ac88e4415696ba | MATLAB | 1,290 | 48 | function [model] = noisyMixModelFit(X, Y, K, obstype)
% Mix model of form Q -> Xj -> Yj
% similar to a tied mixture (semi-continuous) HMM
% p(X,Y|Q=k) = prod_j p(Xj|Q=k) p(Yj|Xj)
% p(Xj|Q=k) Ber(xj|theta(j,k))
% p(Yj|X=c) = Gauss(y(:,j) | mu(j,c), Sigma(j,c))
%
% The idea is that Xj is the j'th binary tag
% Yj is the... |
a635800394cee922a5628dbbc14f5032b899cc755dc2f04f47d8f3318b2f57de | MATLAB | 1,290 | 37 | function varEMbound
x = 0:0.1:4;
figure(1); clf; hold on;
y1 = logistFn(x, 2);
plot(x, y1, '-b', 'LineWidth', 3);
text(2.3,1.03, 'true log-likelihood', 'FontSize', 16, 'FontWeight', 'bold');
y2 = logistFn(x, 1);
plot(x, y2, ':r', 'LineWidth', 3);
text(2.8,0.92, 'lower bound'... |
bd8cc7060b78e352f36abf94c8559dbd24286dfd64e2b10042f726b0cb56c0ab | MATLAB | 1,290 | 33 | function forest = fitForest(X,y,varargin)
%Fit a random forest. Rows of X are examples, columns are features. See
%dtfit for tree specific documentation. Fits 'ntrees' on randomly selected
%subsets of the training examples in X, (with replacement). At each node in
%each tree, the best of a random selection of candi... |
0e7ed18980924959b59a6e8b27eb87eac486cf03af531c77fed93c456b0f9592 | MATLAB | 1,291 | 36 | % At startup, matlab will find a file startup.m assumed to be located in directory specified by
% the environmental variable MATLABPATH (see http://www.mathworks.com/help/matlab/ref/startup.html).
% Written by Valeria Kebets and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
if (~... |
272e2f0811511014a2e1ef06847e55d2296f9c509a73d553764c6e15c0555fe9 | MATLAB | 1,291 | 34 | function stack = GaussSmooth(stack, sigma)
% Gaussian smoothing with periodic BCs
%
% GaussSmooth(stack,sigma)
%
%---------------------------------------------------------------------
% license
%---------------------------------------------------------------------
% Copyright 2015... |
32128ffcef96999ccd91d1cc474897b4ba0b0d7502035c5569d6ad305a3dfbd5 | MATLAB | 1,291 | 31 | psthPara.binsize = 10; psthPara.binstep = 10; % ms
cwStr = ["push", "nopush"];
for cwIdx = 1 : length(cwStr)
switch cwStr(cwIdx)
case "push"
%% (cwStr(cwIdx))
tIndex = ([trialAll.stdNum] >= sIndex & [trialAll.correct] & [trialAll.oddballType] == "DEV")|([trialAll.stdNum] >= ... |
47de1a782b920c7eb17c8da5d88049177843ff3217bf0802f65ccd6a3a2a33f2 | MATLAB | 1,291 | 43 | function D = build_KLdivta(datadir, kerneldir, only_1st)
% D = build_KLdivta(datadir, kerneldir, only_1st)
%
% build symmetrised KL divergence matrix based on time-averaged model (single-state HMM)
% The divergence matrix will be used in Gaussian kernel for KRR in main
% prediction function
%
% Dependencies:
% HMM-MAR... |
8e87834da33918bfba9ec6d71374a9b9c89ffd3ef3f3adcfbae1f67ce7fe4ee5 | MATLAB | 1,291 | 37 | % At startup, matlab will find a file startup.m assumed to be located in directory specified by
% the environmental variable MATLABPATH (see http://www.mathworks.com/help/matlab/ref/startup.html).
%
% Written by Wu Jianxiao and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
if (~... |
ab8039ba6ac73c15494c358fc9593a8412448624450ee14503472484bf60ccf1 | MATLAB | 1,291 | 33 | function [tau] = fit_fd_tau_to_data(euclidean_distances,similarity_distribution,df,v)
fun = @(x) tau_fit(df, v, similarity_distribution, euclidean_distances, x(1));
tau = ...
fmincon(fun, ...
v.fit.tau_init, [],[],[],[], v.fit.tau_lb, v.fit.tau_ub, [], ...
optimset('TolX', 0.0001, 'TolFun', 0.0001, 'MaxFun... |
f37260302898cdff7b7a1397ee3486a8b792b8feb00549a836416ec7dc07f08a | MATLAB | 1,291 | 56 | function [timePlot, freqPlot, dB_powPlot]= plot_spectrogram(sig, fs, tWindow, fracOVlap, nfft, cbar_range, useDefaultPlot, tStart)
if ~exist('tStart', 'var')
tStart= 0;
end
if ~exist('useDefaultPlot', 'var')
useDefaultPlot= 1;
end
if ~exist('cbar_range', 'var')
cbar_range= 60;
end
if ~exist('tWindow', 'v... |
84381de876dabeb5e4869711cd5b9d27d15d735684b86c90b76f280242ba66e4 | MATLAB | 1,292 | 64 | % 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,... |
d291c79e4e05c66c7b6b7cd610739e11f1c615e7ba408f66846777004f67fede | MATLAB | 1,292 | 50 | function [MuscleLength, MuscleVelocity, MuscleMomentArm] = MuscleOneJoint_JointAngles(a1,a2,phi1,phi2,R1,f1,n1,alpha1,alpha1_dot,handrule)
% MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, Department of Biological Sciences, Georgia Institute of Technology, Atlanta,... |
dba934341b7fc7bc7d852425b062e8c8045993bc9b877cf9795de7c76c9f0038 | MATLAB | 1,292 | 24 | function test_roian_bsub_tracking()
if ispc()
warning('bsub backend is not supported on Windows, so %s always passes on Windows', mfilename());
return
end
linux_project_file_path = '/groups/branson/bransonlab/apt/unittest/four-points-testing-2025-04-12-with-rois-added-and-fewer-smaller-avi-movies-... |
ff5c7b628ad83561e184a783241c9ed473a1f8ad7de736f89b85e93f12885e47 | MATLAB | 1,292 | 41 | function ind = sub2ind2( siz, sub )
% Improved version of sub2ind.
%
% Almost the same as sub2ind, except always returns only a single output
% that contains all the subscript locations. Also handles multiple linear
% subscripts at the same time more conveniently then matlab's version. See
% help for sub2ind for more ... |
0ba428e58ecb8555b0437ace6b0e52947e6e4e03a2964912fabdd5d5661cf721 | MATLAB | 1,293 | 54 | function [source,source_mag]=min_norm(patt,V,para);
% makes a minimum norm estimate of a potential patt;
%
% input: patt nx1 vector where n is the number of channels;
% V nxmx3 tensor where m is the number of gridpoints;
% V(:,i,j) is the potential of unit dipole at the i.th
% point i... |
e9749fa7e981aeb683b6c26a8e56b7a2b19bc66d7e4fc261e62442acf935ce2b | MATLAB | 1,293 | 40 | function [inh] = spm_deconv(out,u,SNR)
% basic Wiener deconvolution
% function [inh] = spm_deconv(out,u,SNR)
% Let us define the above LTI convolution model:
% out = conv(in,u) + e
% where e is a white noise process.
% This function inverts this model using Wiener deconvolution, i.e.
% estimates the input in, given ... |
72fd6c96de54d9898803f998d0f95a8e86ded2e1959acb04af8c03fc3a24b4d7 | MATLAB | 1,294 | 44 | function [samples, naccept] = metropolisHastings(target, proposal, xinit, Nsamples, proposalProb)
% Metropolis-Hastings algorithm
%
% Inputs
% target returns the unnormalized log posterior, called as 'p = exp(target(x))'
% proposal is a fn, called as 'xprime = proposal(x)' where x is a 1xd vector
% xinit is a 1xd vect... |
7b9d7e7e18f3863bdcb92c27a702d28e9d5617fbcbe614c76a8241c4e04035a5 | MATLAB | 1,294 | 40 | % example of 2D affine registration using the lsqnonlin optimizer.
% clean
clear all; close all; clc;
% Add all function paths
addpaths
% Read two greyscale images of Lena
I1=im2double(imread('lenag3.png'));
I2=im2double(imread('lenag2.png'));
% Type of registration error used see registration_error.m
... |
e0fb5288d62dcb81929eec3da8bfdc44bf7df0f5f4ec6de8bda38b33614b75a4 | MATLAB | 1,294 | 43 | function spkDat = MergeClusters(spkDat, mergeDat)
% 11/21/2016 M. Farries
relabelClusters = true;
[wL, nChan, ~] = size(spkDat.waves);
if isstruct(mergeDat)
mergeClust = arrayfun(@(x) x.clust, mergeDat);
dt = arrayfun(@(x) x.dt, mergeDat);
destClust = mergeDat(1).refClust;
else
destClust = mergeDa... |
6d5968229ad9571ddb965869ffebfd8dc175ccaaab9fd526765ff42ba2e47453 | MATLAB | 1,295 | 56 | function [] = plot_model_psychometrics(performance_matrix)
hold on
%average over location strengths
y3=mean(performance_matrix,1);
vec=[-4 -2.5 -1 1 2.5 4];
%%% compute logistic fit
ft = fittype( 'bao+t./(1+exp(-(x-alpha)/beta))', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( ft );
opts.Display = 'Off';... |
a81ab7a3cc1da14c3d90501cd3a2ddb9a5b5201081dc231d40d657c96c820f3b | MATLAB | 1,295 | 51 | % SecLevel
clear all; close all; clc;
Datapath='/home/Damian/PD_sleep_memory/EEG/Scripts/data/';
nSubj=18;
roiChannel=3; %Fz: 3
for s=1:nSubj
clear EEGPSD
% load events
load([Datapath,'EEG_S',num2str(s),'.mat']);%eventfile showing offset of stimulation in SR (512)
% remove: s11k4, s10k3k4, s9k1k3k4... |
bec2b9cc35c8688d9a3a75f7953bb72662bab60a22e0c0afa7e982881f7d46ed | MATLAB | 1,295 | 33 | function [SNReff,bEff,Tmix] = DWSTE_SNREfficiency(x,optSample,optScanner,b,~)
%%
% calculates DW-STE SNR Efficiency
%
% input:
% x = array with diffusion gradient (mT/m), duration of diffusion gradient (ms), echo time (ms) and repetition time (ms)
% optSample = T1 (ms), T2 (ms) & D (um^2/ms)
% optScanner = Maximu... |
fc961e9049db97ab5fe4b2fabce64956003c7a68b455331ebd9e05185b24438e | MATLAB | 1,295 | 23 | %% Spiral
disp('######################################');
disp('#### Design a dual density spiral ####');
disp('#### ####');
disp('######################################');
disp(' ');
[k_rv,g_rv,s_rv,time_rv,Ck_rv] = vdSpiralDesign(1, 16, 0.83,[55,55,10,10],[0,0.2,0.3,1],4,15,4e-3,'cubic'... |
9a33525fca55f664334aa2b9ab0652cff8752ee5b3226ce2bc99c82b52b5be7f | MATLAB | 1,296 | 44 | function [BF01, probH0] = bayesTtestTwoSample(x,y,xbar,ybar,Nx,Ny,sx,sy)
% BF01 = p(data|H0)/p(data|H1), where H0 says delta=0, H1 says delta is unconstrained
% probH0 = p(model=H0|data)
%
% Usage:
% [BF01, probH0] = bayesTtestTwoSample(x,y)
% or
% [BF01, probH0] = bayesTtestTwoSample([],[],xbar,ybar,Nx,Ny,sx,sy)
%
% R... |
6528d1ea71aeb76ba7ea160e7dfd054d62923627177ce4d5c16f6b17b68489a0 | MATLAB | 1,297 | 47 | function lme_timePlot(time,y,ni,subjs)
% lme_timePlot(time,y,ni,subjs)
%
% Spaghetti time plot of longitudinal data.
%
% Input
% time: Time covariate.
% y: Ordered data vector (according to time for each subject).
% ni: Vector whose entries are the number of repeated measures for each
% subject in the study (ordered ac... |
935bf29f18dc2740078bab3eb78ef78c6ca89cca1ca58a3fc16bad7884ac717d | MATLAB | 1,297 | 53 | % Test depth first search
% This file is from pmtk3.googlecode.com
%% A DAG
% Do the example in fig 23.4 p479 of Cormen, Leiserson and Rivest (1994)
u = 1; v = 2; w = 3; x = 4; y = 5; z = 6;
n = 6;
dag=zeros(n,n);
dag(u,[v x])=1;
dag(v,y)=1;
dag(w,[y z])=1;
dag(x,v)=1;
dag(y,x)=1;
dag(z,z)=1;
directed = 1;
root = 1;... |
a67cb0bbfdf482007d7efa30070d88d19e836d68a7cd46ffa7acd0c5bfb15090 | MATLAB | 1,297 | 59 | function [PLV,meanphi] = pair_wise_PLV_wavelet(data)
%function PLV = pairwisePLV(data)
% Compute Phase Locking Value (PLV) for all pairs of channels
% Data: timepoints x channels
%
%
% Example:
% x = sin(2*10*pi*t);
% y = sin(2*10*pi*t);
% x = x + randn(size(x))*0.1;
% y = y + randn(size(y))*0.1;
% [PLV,meanphi] = pair... |
9447c3b8de70c5d6d30f73a2bfa4fc7d09262d79fdcf1773d66087336f1520cd | MATLAB | 1,298 | 55 | function model = logregBinaryFitL2IRLS(X, y, lambda, includeOffset)
% Iteratively reweighted least squares for logistic regression
%
% Rows of X contain data. Do not add a column of 1s.
% y must be binary and will be transformed into [-1 1]
% lambda is optional strength of L2 regularizer
%
% model.C is the asymptotic c... |
2f6f2c5eb807770083cccd73ab49cc69f8e9d0c9829e5658dd68c15a8fe26f9b | MATLAB | 1,299 | 19 | function [x,fval,exitflag,output,lambda,grad,hessian] = SQPGenerateCode(x0,lb,ub,MaxFunctionEvaluations_Data,MaxIterations_Data,OptimalityTolerance_Data,StepTolerance_Data,ObjectiveLimit_Data,ConstraintTolerance_Data)
%% This is an auto generated MATLAB file from Optimization Tool.
%% Start with the default options
op... |
6fb27f9245d7a79751c64abbd48d75af1ac94435a12d5af79b71391157aa5005 | MATLAB | 1,299 | 31 | function Path = dirItem(rootPath, keyword, varargin)
% Description: find file or folder name in rootpath
% Input:
% rootpath: ROOTPATH
% keyword: the raw file or folder name used to find
% newName: the string to replace the raw name
% folderOrFile: decide rename file or folder
mIp = in... |
f3b5b4a0abd9ce854ee4027a876e6175e77ea28cd86800a283c251774cf2032a | MATLAB | 1,299 | 58 | % h = drawellipse(trk,varargin)
% h = drawellipse(x,y,theta,semimaj,semimin,varargin)
% extra arguments will be fed to plot
function varargout = updateellipse(h,x,varargin)
% draw an isosceles triangle with center (x,y)
% with rotation theta
% with height maj*4
% with base min*4
if isstruct(x),
fly = x;
if nargin... |
100ac779bc364ed9973586c46f2a076d5f6d9388595181c23aacb063faec4bf4 | MATLAB | 1,300 | 66 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% makes a raster using all sorted spikes
function makeRaster(self,~,~)
if self.verbosity > 9
d... |
89133d451839e6c1cbbbebd98ffd6d20cdb2c5343138522564416b99dfc6b442 | MATLAB | 1,300 | 39 | function s = accumulate_steps(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');... |
a318189b948abd65a7a3e3075c689acb88e398faa8383840afeefc6c2c28e37b | MATLAB | 1,300 | 51 | function ev_trig_stagger(event, signal, windowSize, plot_type)
if nargin < 4
plot_type = 'cell'
end
event(1:windowSize/2)=0;
nEvs = sum(event);
evIdx = find(event);
avg = zeros(1,windowSize+1);
x = -windowSize/2:1:windowSize/2;
figure
hold on
switch plot_type
% Staggered plot by cell
case 'cell'
... |
aa5a51ecd5b9693cdbcc13ac69ea76c43521809b66a12987cf403fecf74c1d88 | MATLAB | 1,300 | 27 | function y = var_proj(Q,C,eigsum)
% function for finding variance explained in a certain projection
% Q: A matrix with orthogonal columns that define the subspace
% C: Covariance matrix of the data with the same row dimension as Q
% eigsum: sum of the largest k eigenvalues of C where k = size(Q,2)
% authors: Xiyua... |
79d6e631513325d4c33c211bee9d1218bb42b685fe9af7387e102d28a5f60108 | MATLAB | 1,301 | 58 | %% fnc_FAST_getInputs: transform the normed input in the real range inputs
%
% Usage:
% X = fnc_FAST_getInputs(pro, NormedX)
%
% Inputs:
% pro project structure
% NormedX normed inputs
%
% Output:
% X inputs in the correct ranges
%
% ----------------------------------... |
8a6cd4da7132bf44f8617ab2ac4a10fe4361aa4ad1cd933793cc1b219a50f98a | MATLAB | 1,301 | 30 | function y=umaxdfla(u);
%UMAXDFLA Determination of the maximum value of u for D-Flandrin distribution.
% Y=UMAXDFLA(u) is the function Y(u)=(H(u)+u/2)/(H(u)-u/2)-fmax/fmin.
% Doing UMAX = fzero('umaxdfla',0); gives the maximum value for U in the
% computation of the D-Flandrin distribution. For this distribution,
% ... |
b0c27525bf328b623071af6fedd4c2a1db15dbbdcbb3bb974fd28cfb9b6aec21 | MATLAB | 1,301 | 32 | function AttachedTriangles = meshconnet(t, edges, flag)
% This function finds triangles attached to every edge of a triangular mesh
% Inputs: array of nodes P, triangulation t, flag
% Output: cell (for presumably non-manifold meshes) array of triangles
% attached to each edge.
%
% Copyright SNM 2017-2018
% ... |
bd293c0108f0e0de41a5c2b6f400f84ef44503073bae2a7c1b27e3b390e2ea4c | MATLAB | 1,301 | 48 | function [gx, dgdx, d2gdx2] = VBA_prodX (X1, X2)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [gx, dgdx, d2gdx2] = VBA_prodX (X1, X2)
% calculates the 1st and 2nd order derivatives of the dot product X1' * X2
% of two vectors X1 and X2
%
% IN:
% - X1,X2: two vectors of same size (on... |
3c8c61de6a31710b5317aafafdccc37d7057e4f3cf39f9eca6afc57ee626771c | MATLAB | 1,302 | 47 | function histMontage( HS, mm, nn )
% Used to display multiple 1D histograms.
%
% USAGE
% histMontage( HS, mm, nn )
%
% INPUTS
% HS - HS(i,j) is the jth bin in the ith histogram
% mm - [] #images/row (if [] then calculated based on nn)
% nn - [] #images/col (if [] then calculated based on mm)
%
% OUTPUTS
%
% EXAM... |
af8f4340966a2360344a00db47a0c3417095300bad679341f507b3312728cd8b | MATLAB | 1,302 | 43 | function [mu, se] = cvEstimate(fitFn, predictFn, lossFn, X, y, Nfolds, varargin)
% Cross validation estimate of expected loss
% model = fitFn(Xtrain, ytrain)
% yhat = predictFn(model, Xtest)
% L = lossFn(yhat, ytest), should return a vector of errors
% X is N*D design matrix
% y is N*1
% Nfolds is number of CV folds
%... |
3780cc7dae7ef7fbcca7308b9abe14aed75aab7ea690a7f8834240e4b14b2f5e | MATLAB | 1,303 | 50 | % HIFIE_SPDIAG_MV_N Dispatch for HIFIE_SPDIAG with DINV = 0 and F.SYMM = 'N'.
function D = hifie_spdiag_mv_n(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find act... |
eb04c178b9872dc9ec0bac9e3d4eff1d9a4fff3c71508cadbcf99ca50c278ff9 | MATLAB | 1,303 | 50 | % HIFIE_SPDIAG_SV_N Dispatch for HIFIE_SPDIAG with DINV = 1 and F.SYMM = 'N'.
function D = hifie_spdiag_sv_n(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find act... |
015d3d77a6d8e0675c3b514a3ab9d1abb1551a5a07f62a8f7831d9c18806b511 | MATLAB | 1,304 | 50 | function disp(X,name)
%DISP Command window display of a tensor.
%
% DISP(X) displays a tensor with no name.
%
% DISP(X,NAME) displays a tensor with the given name.
%
% See also TENSOR, TENSOR/DISPLAY.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, ... |
1a2f50a85c9ec60006b7533107c828319247bb146e67f93b6a645b99b6444c3e | MATLAB | 1,304 | 45 | % Setup base path
clear;
basefolder = fileparts(fileparts(fileparts(mfilename('fullpath'))));
codefolder = [basefolder,'/code'];
toolsfolder = [basefolder,'/tests/tools'];
addpath(genpath(codefolder));
addpath(genpath(toolsfolder));
% Load Data
data_path = [basefolder, '/tests/fixtures/w3c/SBJ99_bold.npy'];
data = r... |
585b91c025f719d1cfd599a3b76e09fb05df3b8cbcc6c19ab4973b6555a58049 | MATLAB | 1,304 | 50 | function gifmaker(filename,out)
filename = append(filename,'.gif');
PART = out.MOV.P; NEUR = out.MOV.N;
div = out.div;
[X,Y] = meshgrid(1:div);
s = out.s;
f = out.f;
mapcol = [ autumn(s) ; 0 .9 0 ]; % A green, B red/yellow based on size
% Setup figure
figure('units','normalized','outerposition',[0 0 1 1]); ho... |
6284446e06aa577a95a22378426fa7b7fd308eaefdbd12043fe326a9ac5f7bf5 | MATLAB | 1,304 | 50 | % HIFIE_SPDIAG_MV_S Dispatch for HIFIE_SPDIAG with DINV = 0 and F.SYMM = 'S'.
function D = hifie_spdiag_mv_s(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find act... |
94e6d99d5b0374bb4d2e8c23bb0508b5578bcdf615d0bfaea4c72c6646f25901 | MATLAB | 1,304 | 50 | % HIFIE_SPDIAG_SV_S Dispatch for HIFIE_SPDIAG with DINV = 1 and F.SYMM = 'S'.
function D = hifie_spdiag_sv_s(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find act... |
ad5aa1eba4d74cd46c727026e4531afcd4efcfb120268ab60994450deab35fde | MATLAB | 1,304 | 28 | % GUI Layout Toolbox
% Version 2.3.3 (R2018b) 25-October-2018
%
% Panels
% uix.Panel - arrange a single element inside a standard panel
% uix.CardPanel - show one element from a list
% uix.BoxPanel - arrange a single element inside a panel with a boxed title
% uix.TabPanel - arrange el... |
b4e47004f1d01cb7aeb562b182ce2b9c090dcd97fd94825a84e649b1cdeccc49 | MATLAB | 1,304 | 38 | function varargout = im( I, range, extraInf )
% Function for displaying grayscale images.
%
% Handy function for showing a grayscale or color image with a colorbar.
%
% USAGE
% h = im( I, [range], [extraInf] )
%
% INPUTS
% I - image in a valid format for imagesc
% range - [] minval/maxval for imagesc
% ex... |
c0c8f8b4f9b66009434a9b9541fde7721d9396c6703db2650a2119963f3d09c5 | MATLAB | 1,304 | 44 | disp(' ');
disp('fdct_wrapping_demo_basic.m -- Displays a curvelet')
disp ('both in the spatial and frequency domains.');
disp(' ');
disp(['This is achieved by setting all the coefficients in the curvelet'])
disp(['domain to zero except that at the required location (which'])
disp(['is set to one). The curvelet is obta... |
4d63b7ad1102a2a73d4671231a3751a5ab48971c184297ef873980e47ecd44a9 | MATLAB | 1,305 | 37 | % $$C\frac{dV}{dt}=-g_L(V-V_L)+I$$
% Input defined at Line 26
clear; %clear all variables
% close all; %close all open figures
%DEFINE PARAMETERS
dt = 1/1000; %time step [ms]
t_end = 1200; %total time of run [ms]
t_StimStart = 100; %time to start injecting current [ms]
t_StimEnd = 1000; %time to end injecting current ... |
786533322d515b0f3fd16424e16f32ed4b8e1723c259afa7bd4e727c4784643a | MATLAB | 1,305 | 75 | function T=prep_v2head(elecs,head,zmin);
% creates a matrix to make a linear interpolatation
% from potentials in electrodes to potentials
% on head surface
%
% usage T=prep_v2head(elecs,head);
%
% input:
% elecs Nx3 matrix (3D coordinates of electrodes)
% head Mx3 matrix (3D coordinates of head surfac... |
8bf9181b7d94d06c0dbbcafc24cb6fa06c3ccefb7c72a11b51f5fc84bda1a838 | MATLAB | 1,306 | 61 | gKdr = 4;
hptau_nb = 3100; hptau_adult = 22000;
switch igr
case 1
% group I
pos1 = 1;
gM = 0.801;
gNaP = 0.595;
gCaL = 0.4;
gKCa = 0;
hptau = hptau_nb;
IM_exp = 56.08;
PICa_exp = 39.52;
PICd_exp = 1.04;
case 2
% group... |
df738d1e7a388a1debde309d0d31a921de19f48cb01bf3e17417a5074ef8ed58 | MATLAB | 1,306 | 25 | % demo_SOFAplotHRTF - script demonstrating the usage of SOFAplotHRTF
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% You may not ... |
f0910033c8b4256503dfd60c34a94a928e4c02e64c1c4c87c8603aa5dad79105 | MATLAB | 1,306 | 40 | function [tm,T]=loctime(sig);
%LOCTIME Time localization caracteristics.
% [TM,T]=LOCTIME(SIG) computes the time localization
% caracteristics of signal SIG.
%
% SIG is the signal.
% TM is the averaged time center.
% T is the time spreading.
%
% Example :
% z=amgauss(160,80,50); [tm,T]=loctime(z)
%
% See also LOC... |
f82b406426dae47e893e796bef5534992c3511b58a4e0a21e1ce35f101f99e6e | MATLAB | 1,306 | 53 | %% Illustration of a linear vs 'wiggly' decision boundary.
% We make four misclassifications using the linear boundary and none using
% the 'wiggly' boundary; however, in the latter case, we may have overfit.
%%
% This file is from pmtk3.googlecode.com
function decisionBoundaryLinearVSwiggly
domain = 0:0.01:1;
f = @... |
0d748c315af92394e721e51dda2aaa494bca3a98751076fa0fac62edc47e40bc | MATLAB | 1,307 | 47 | function I = ind2im(ind, sz, vals, fillval)
%IND2IM Create image from a set of linear indices.
% Usage:
% I = ind2im(ind, sz)
% I = ind2im(ind, sz, vals)
% I = ind2im(ind, sz, vals, fillval)
% I = ind2im(BW, vals)
% I = ind2im(BW, vals, fillval)
% I = ind2im(S)
%
% Args:
% ind: linear indices of the imag... |
5e5a55c1c699ed13becbcb2c775524bd500d5203a31976f30a736523f200b148 | MATLAB | 1,307 | 75 | function T=prep_v2head(elecs,head,zmin);
% creates a matrix to make a linear interpolatation
% from potentials in electrodes to potentials
% on head surface
%
% usage T=prep_v2head(elecs,head);
%
% input:
% elecs Nx3 matrix (3D coordinates of electrodes)
% head Mx3 matrix (3D coordinates of head surfac... |
eb629e0462041d256c8dfc1c472a1533a806ef0eb5c7254c6b331b018caccd2a | MATLAB | 1,307 | 26 | function compile_compute3Dfrom2D()
% get the directory where this file lives
% figure out where the root of the Ohayon code is
thisScriptFileName=mfilename('fullpath');
thisScriptDirName=fileparts(thisScriptFileName);
% just put the executable in the did with the build script
% exeDirName=thisScriptDirName;
exeDirNam... |
423fb9c874bb1ee45dd481c41b62ba46593ec5e9835b54514cb040398c210a2c | MATLAB | 1,308 | 35 |
%% load adaptative solution
load(fullfile(patient_path,'dipoles',dipole_name, ...
strcat(patno,'_',model_name,'_',dipole_name,'_charge_solution_adapt')));
%% create figures
figure;
semilogy(100*Conv.ErrorC, '-o'); grid on; title('Error percentage - global C');
xlabel('Adaptive pass number'); ylabel('% change')
sa... |
5966ea432acc29f0a86d24b5241cb4367a191ea5ec8cddf6b59870d5ca4ccc52 | MATLAB | 1,308 | 28 | function dbPath=SOFAdbPath(newPath)
% dbPath=SOFAdbPath
%
% dbPath=SOFAdbPath returns the path to the directory containing
% HRTFs for demos and applications. The default path is: this_directory/../HRTFs/SOFA
%
% [...]=SOFAdbPath(Path) sets the path to the directory for further calls
% of SOFAdbPath.
% SOFA ... |
6b2c17085cae9605d9e89f6b19c07a5b5ffc9dea938d34617c1d8f28b847de41 | MATLAB | 1,308 | 47 | function colorim = h_createGOMImage(red,green,blue,climitr,climitg,climitb)
warning off MATLAB:divideByZero;
green = double(green);
red = double(red);
blue = double(blue);
if ~(exist('climitg')==1)|isempty(climitg)
temp2 = sort(green(:));
climitg = [temp2(round(0.05*length(temp2))),temp2(round(0.99*l... |
708f1beced2c2ed0244f85e5bf52b9a608cef39f027989e1430bb9a1dbd09389 | MATLAB | 1,308 | 32 | function [ gx ] = g_BSLinGame(x,P,u,in)
% observation function for BSL learner engaging in dyadic games
% [ gx ] = g_BSLinGame(x,P,u,in)
% In a game, a BSL learner bases her decision (a=1 or a=0) upon her
% prediction of her opponent's next move, given the game payoff table. NB:
% BSL tracks the probability that her op... |
8c7c3a404b5215399893ac9bb5b5b2f0963ec4543cafaf90e0d30d0de2c581a6 | MATLAB | 1,308 | 46 | function score=fast_pacman(decoded_event)
%https://blog.usejournal.com/dynamic-programming-finding-optimal-paths-2cf89f3d1437
[score1,maxsum1]=maxsum_algorithm(decoded_event); %start from top and go to bottom right
[score2,maxsum2]=maxsum_algorithm(flipud(decoded_event)); %start from bottom and go to top right
if s... |
25aac941bb3a8c066e3df2a6f53c273637b67250e35b0ae9321577a940fd725f | MATLAB | 1,310 | 53 | function softev = localEvToSoftEvBatch(model, localev)
% Convert local evidence to soft evidence
% localev(n,t,d) is obs for node t, case n, component d
% softev(k,t,n) is p(node(t)=k | case n)
%
% This is a batch version of localEvToSoftEv
% that is much faster
% This file is from pmtk3.googlecode.com
[Ncases, Nno... |
7d5f3129b50b28c70a38087f37231cd515b64305dbe75d4b655847dfdab931c0 | MATLAB | 1,310 | 53 | % RSKELF_SPDIAG_SV_H Dispatch for RSKELF_SPDIAG with DINV = 1 and F.SYMM = 'H'.
function D = rskelf_spdiag_sv_h(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
a75a5c9cf9d24850fb4ccc3c9a64d5a03b01d02d175c735798c92d637d783ed8 | MATLAB | 1,310 | 40 | %% Example script to extract responses of several models to an AP pair
%
% m-file Requirements:
% run_simulation.m
% simulate_vesicle.m
%
% See also: run_simulation, simulate_vesicle
%
% Author: Chris Norman, University of Warwick
% Source: https://github.com/ChrisAlexNorman/SytSim
% Directory and file prefix to save ... |
b04b7ba3b478e7fb643c16a0500b0b8a24909dbc4966f6e9c74a3987a0ee18b1 | MATLAB | 1,310 | 43 | %% capCaseLine
% utility macro from
% string/char switch macro for capitalizing the first term
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as publi... |
bf598ae11ebba7598c1d11d239b05a3d146d32f0a66b1529ed116b37e0237bae | MATLAB | 1,310 | 59 | % h = drawellipse(trk,varargin)
% h = drawellipse(x,y,theta,semimaj,semimin,varargin)
% extra arguments will be fed to plot
function varargout = drawellipse(x,varargin)
% draw an isosceles triangle with center (x,y)
% with rotation theta
% with height maj*4
% with base min*4
if isstruct(x),
fly = x;
if nargin == ... |
c7d530852d0c8b668eeab25990abab9cf7fa92d111d4010d0483065809277261 | MATLAB | 1,310 | 36 | %% conformMarkov
% Small utility to take a 2D array, assumed to be a (left) Markov
% Stochastic Matrix, and conform it. Assume all elements >=0
% 1) Rescale columns to sum to 1.
% 2) Ensure non-populated columns have a 1 on diagonal to preserve
% probability.
% Copyright (C) 2023 Trevor S. Smith
% Drexel U... |
fa381426130da1c5c5e89b0bb98edbab3e79070bf505824552899bb689ee26f9 | MATLAB | 1,310 | 64 | function fmf_copy_some(infilename,outfilename,nframes,startframe,nskip)
if nargin < 4,
startframe = 1;
end;
if nargin < 5,
nskip = 1;
end;
% read in the header
[header_size, version, f_height, f_width, bytes_per_chunk, ...
max_n_frames, data_format] = fmf_read_header( infilename );
datatype = fmf_get_da... |
afd172b8b3d073609a11b888297f99e4bbe3924a64b21d120a86299af2300e97 | MATLAB | 1,311 | 53 | % RSKELF_SPDIAG_MV_H Dispatch for RSKELF_SPDIAG with DINV = 0 and F.SYMM = 'H'.
function D = rskelf_spdiag_mv_h(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
56e7af57cc56cffb5318b730b0509bd355c4868876119a9c342a8855db4928d2 | MATLAB | 1,312 | 44 | %% Conditioning a 2D Gaussian
%
% Take a horizontal slice thru a 2d Gaussian and plot the resulting
% conditional
%%
% This file is from pmtk3.googlecode.com
mu = [0 0]';
rho = 0.5;
S = [1 rho; rho 1];
figure;
gaussPlot2d(mu, S);
hold on;
[U,D] = eig(S);
sf= -2.5;
line([mu(1) mu(1)+sf*sqrt(D(1,1))*U(1,1)],[mu(2) mu... |
02ecc82e9e7c5e80d84cc37ad6bba49338c9ab1887d2ad77a071565ac9cd4245 | MATLAB | 1,313 | 39 | function H = graystep(B, d)
%% Cycle a logical vector d steps through the Gray cyclic binary codes
% H = graystep(B, d) takes row B of logical values (0 or 1)
% through one step forward, if d ~= 0 , or otherwise backward,
% through the Gray Cyclic Binary Codes. Only one element of H
% differs from the ... |
44a65f06a0bc20579a06cb42725b4e2199192bd839460380b4cefff91791e7f6 | MATLAB | 1,313 | 45 | function y = VBA_nanmean(x, dim)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% y = VBA_nanmean(varargin)
% mean ignoring NaNs
%
% This function enhances the functionality of NANMEAN as distributed in
% the MATLAB Statistics Toolbox and is meant as a replacement (hence the
% identical n... |
58cec7a793a50054147a5cb1a7f7c5e0040795005772c19a5b6090ede76be67d | MATLAB | 1,313 | 43 | function [dat, lab] = read_bham(filename)
% READ_BHAM reads the EEG data files as recorded by Praamstra in Birmingham
% the datafiles are in a particular ascii format
%
% [dat, lab] = read_bham(filename)
% Copyright (C) 2000, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
%... |
730dc1cbc3964ed374b7e8babc6952b4ab778b915d8136ad56a437c6a9c613ff | MATLAB | 1,313 | 53 | %% Project 3D data onto a 2D basis using PCA
% Based on an example by Hamid Bolouri
%%
% This file is from pmtk3.googlecode.com
setSeed(0)
n = 100; d = 3;
Sigma = diag(sqrt([10,2,0.5]));
%Sigma = diag([10,2,0.1]);
model = struct('mu', zeros(1, d), 'Sigma', Sigma);
X = gaussSample(model, n);
% rotate the data
alpha... |
1c273f704ff6aa69213714f7d5fb94412f478262f2d6fcec674af3627c839243 | MATLAB | 1,314 | 56 | function [precMat, iter] = ggmFitHtf(S, G, maxIter)
% MLE for a precision matrix given known zeros in the graph
% S is d*d sample covariance matrix
% G is d*d adjacency matrix
% We use the algorithm due to
% Hastie, Tibshirani & Friedman ("Elements" book, 2nd Ed, 2008, p633)
% This file is from pmtk3.googlecode.com
... |
7b44960f3b430ad4f45e53e5cba536458d054ded92f4c0777518916da6f4401c | MATLAB | 1,314 | 42 | function sig=izak(dzt)
%IZAK Inverse Zak transform.
% SIG=IZAK(DZT) computes the inverse Zak transform of matrix DZT.
%
% DZT : (N,M) matrix of Zak samples.
% SIG : Output signal (M*N,1) containing the inverse Zak transform.
%
% Example :
% sig=fmlin(256); DZT=zak(sig); sigr=izak(DZT);
% plot(real(sigr)); hold; plot... |
aa04ceef4b2c7afeffaa0cd57809ce34a69cb3473a01bb6908a83d5be0141daa | MATLAB | 1,314 | 36 | function J = genstickgflt( ro, s )
% GENSTICKGFLT Generates (unrotated) stickness kernel with gaussian profile
% INPUT:
% ro: Radius
% s - Scale
% OUTPUT:
% J - Output kernel (unrotated) with size s+ceil(s/2)
%
% See also: dirfiltersparse
%
% AUTHOR: Antonio Martinez-Sanchez (an.martinez.... |
ed59dde4d63401590d221bbd252e9d6c559962d2757929570f649f40c13f1a11 | MATLAB | 1,314 | 69 | function fiff_write_int_matrix(fid,kind,mat)
%
% fiff_write_int_matrix(fid,kind,mat)
%
% Writes a integer matrix tag
%
% fid An open fif file descriptor
% kind The tag kind
% mat The data matrix
%
%
%
% Author : Matti Hamalainen, MGH Martinos Center
% License : BSD 3-claus... |
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