sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
dd4d373856450ea3807067ed618d768922624dfcdbaeb91a45d17d471cfd198e | MATLAB | 5,070 | 130 | function [xf, yf, sumres, ysine]=gradFreqPlot(t,y,Fs,axlabel)
% function [xf, yf, sumres, ysine]=gradFreqPlot(t,y,Fs,axlabel)
% take output from getDSV (t, y, Fs) to plot and
% output the freq samples: xf,
% fft of y normalised to total input length (numel(t)./Fs): yf
% sums of yf^2 in the acoustic resonance bands: s... |
20cf95348642e3cea694d99ad53d05b36c36e5f1003783dcc3e419789576fa1d | MATLAB | 5,071 | 159 | function [spk wire ampl] = DetectSpikes(data, thr, varargin)
% 8/5/2016 M. Farries
% USAGE
% This function assumes that data are from just one tetrode/stereotrode
% REQUIRED INPUTS:
% data - 2-D array, (# channels) X (# time samples)
% thr - spike detection threshold--should always be >0 (see below)
% OUTPUTS:
... |
5b57dfba92552915ea1452eff21d4ff50b2e855d8170ac19f0b051d7e4f98a31 | MATLAB | 5,071 | 142 | function filePathConf = EditConf(workingDir,CircosConf)
% FORMAT filePathConf = EditConf(workingDir,flag,offsetPixel)
% Set .conf configuration file, parameters
% Input:
% working_dir - working directory that generate scripts and Circos figure
% CircosConf.flag - string contains specific command character
% '... |
6e5f2deb7e7abf818d614f879f6bca47b45f195ac348d05858b501a46fd2efed | MATLAB | 5,072 | 143 | %% Bayesian infernece for simple linear regression with known noise variance
% The goal is to reproduce fig 3.7 from Bishop's book
% We fit the linear model f(x,w) = w0 + w1 x and plot the posterior over w.
%%
% This file is from pmtk3.googlecode.com
function bayesLinRegDemo2d()
setSeed(1); % seed 0 reproduces Bishop... |
584178d016785068b20d9bd6e3f105f9b29d2046f1bec8d9c6832ca7b6c73829 | MATLAB | 5,076 | 158 | fprintf('Generating Full Export Stack...')
ExportStack=zeros(stackSizeX,stackSizeY,NumSlices,NumChannels,1,'uint16');
for c=1:NumChannels
for z=1:NumSlices
TempImage=Channel(c).RawData_Filtered(:,:,z);
%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%
TempImage=imrotate(TempIm... |
950f2604b06ad64b7248cc2ae90b611f365f59c7f31efd8058e701a4fdc3b575 | MATLAB | 5,076 | 157 | % create 4D map (cluster_map, xtime, xtrial)
mkdir([DIRresults, '/sorted']);
word_tasks = (find(task_data(:,2)<3));
noise_tasks = (find(task_data(:,2)>2));
for q=1:(size(task_data,1))
clear cluster_map_single_trial
for chan=1:1024
cluster_map_single_trial(:,mod_elecX(chan), mod_elecY(chan)) = trials_al... |
c11a5121858c4d15501f8b6e4b8ac669968c06d9350641d1693e291a4f281d05 | MATLAB | 5,078 | 168 | function opt = ft_checkopt(opt, key, allowedtype, allowedval)
% FT_CHECKOPT does a validity test on the types and values of a configuration
% structure or cell-array with key-value pairs.
%
% Use as
% opt = ft_checkopt(opt, key)
% opt = ft_checkopt(opt, key, allowedtype)
% opt = ft_checkopt(opt, key, allowedtype... |
4d03ff3b14021ba8e3bfabb121d11c93c104a01ea3de6ef5944118c560005ae4 | MATLAB | 5,084 | 160 | function [stats,st] = lme_fit_EM(X,Zcols,y,ni,e)
% [stats,st] = lme_fit_EM(X,Zcols,y,ni,e)
%
% Linear mixed-effects estimation by expectation maximization.
%
% Input
% X: Ordered design Matrix (according to time for each subject).
% Zcols: Vector with the indices of the colums of X that will be considered
% as random e... |
6d6c36e2f92a7ecac48c1d47ab080758f67e04a51c7866e8efb8e09172f71071 | MATLAB | 5,084 | 152 | %% initialize settings
% A short script to open an image and calculate the position of a fruit fly
% against a light background. Output graph is a sanity check for the path
% of the fly. Written by Jeff Stafford. Some code and ideas from Dan
% Valente's FTrack suite were used, as well as the 'Division' layer mode
% fo... |
5dcd9dd5bd9c37306241ad2806a8c231114558215c681ab552ef5796a93bf34f | MATLAB | 5,086 | 177 | function [hres,hres2] = displayResults(posterior,out,y,x,x0,theta,phi,alpha,sigma)
% compares VB posteriors with simulated parameters and hidden states
if isempty(posterior)
return
end
hres = figure;
pos = get(hres,'position');
set(hres,'name','Simulation results','position',[pos(1),pos(2)-pos(4),pos(3),2*pos(4)]... |
a4a19ad3e64e67f2161d6d588aecde59f18dd55ae3160c4973e6decb7897978b | MATLAB | 5,086 | 194 | function result = WriteYaml(filename, data, flowstyle)
import yaml.*;
if ~exist('flowstyle','var')
flowstyle = 0;
end;
if ~ismember(flowstyle, [0,1])
error('Flowstyle must be 0,1 or empty.');
end;
result = [];
[pth,~,~] = fileparts(mfilename('fullpath'));
try
import('org.... |
e41b85df38d6ee53442f344df47197ff6fcd083edc676248bf2a21d1a96cc500 | MATLAB | 5,086 | 141 | function I = imwrite2( I, mulFlag, imagei, path, ...
name, ext, nDigits, nSplits, spliti, varargin )
% Similar to imwrite, except follows a strict naming convention.
%
% Wrapper for imwrite that writes file to the filename:
% fName = [path name int2str2(i,nDigits) '.' ext];
% Using imwrite:
% imwrite( I, fName, wri... |
227c7cc34dd8fad1901810cec4ef75f528fc79283801f0cd1865e7158d0acca0 | MATLAB | 5,087 | 132 | <<<<<<< HEAD
% function [power_SUM_FMFR, power_DIFF_FMFR, fm_depth]= get_fmfr_power(file2use, FM_carrier, FMrate)
% Assumes
function [power_SUM_FMFR, power_DIFF_FMFR, fm_depth]= get_fmfr_power(fmfr_filename, FM_carrier, FMrate, doSaveMAT)
%% Important parameters
mat_filename= ['DataOut' filesep fmfr_filename '_PowerVa... |
5dea3d06c12329e7bfb190b0948d77eaa6d60d7d068dea841dd164c4f627d271 | MATLAB | 5,087 | 115 | function [ titleStr, settings, results ] = createLabelsFromFeatures( dataview, settings )
% This function stores feature information for all datapoints within
% the current selection in one or several new labels.
%
% Ids -- specified as a matlab expression, e.g. Ids='1' or Ids='1:10'
%
%
... |
5fa48de54662dc1e27ebb33b2aee2a26671724e1552d9362b658cb18fc8f4714 | MATLAB | 5,087 | 153 | function [basis,gradbasis]=legs(x,dir,n,scale)
% usage: [basis,gradbasis]=legs(x,dir,n,scale)
%
% only singular at origin
% returns the values and directional derivatives of (n+1)^2-1 basis functions
% constructed from spherical harmonics at locations given in x and, for the
% gradients, for (in general non-normaliz... |
d312ae92b95b3048ac427a07ba79cb1354e7233dc75aee570891378350652124 | MATLAB | 5,089 | 181 | function [out1,out2,out3] = myginput(arg1)
% almost the same as matlab's ginput, but does not change the mouse pointer
out1 = []; out2 = []; out3 = []; y = [];
c = computer;
if ~strcmp(c(1:2),'PC')
tp = get(0,'TerminalProtocol');
else
tp = 'micro';
end
if ~strcmp(tp,'none') & ~strcmp(tp,'x') & ~strcmp(tp,'micr... |
fd7af197de9fd1222609f002dcf1c9ca99a93a44c5db72a4a11f94574d00b478 | MATLAB | 5,089 | 130 | % Clear workspace and command window
clear;
clc;
% Define the file names
file1 = 'scopus_2019-2020.csv';
file2 = 'scopus_2021-2022.csv';
file3 = 'scopus_2023-2024.csv';
file4 = 'PubMed_2019-2024.csv';
% Read each CSV file into a table
data1 = readtable(file1);
data2 = readtable(file2);
data3 = readtable(... |
d42bc68fde40e2f24868022be7f5907ef5f02a4d3f9c5b3d65130d79bdf05ace | MATLAB | 5,091 | 125 | function sta = calculateGratingFlickerSTA(stimmat, runningspikes, stimorder)
[Nt, Nstimuli] = size(stimorder);
Ncells = size(runningspikes, 1);
[Nyx, Nbase] = size(stimmat);
% use GPU in a smart way: break in chunks of different pixels!!!
%-----------------------------------------------------------------... |
fbcf5794b2a21f4523239144499a02f7b4d619cee9f6d68271570aef62c54538 | MATLAB | 5,092 | 156 | function matrix2latex(matrix, filename, varargin)
% function: matrix2latex(...)
% Author: M. Koehler
% Contact: koehler@in.tum.de
% Version: 1.1
% Date: May 09, 2004
% This software is published under the GNU GPL, by the free software
% foundation. For further reading see: http://www.gnu.org/licenses/licenses... |
3093e94e7b484adc3da82e72ec9519a6919f09a0a41456f15acc36e3b60cd956 | MATLAB | 5,093 | 177 | function [lambda,x,flag,its,x0,trace] = eig_sshopmc(A,varargin)
%EIG_SSHOPMC Shifted power method for real/complex eigenpair of tensor.
%
% [LAMBDA,X]=EIG_SSHOPMC(A) finds an eigenvalue (LAMBDA) and eigenvector (X)
% for the real tensor A such that Ax^{m-1} = lambda*x.
%
% [LAMBDA,X]=EIG_SSHOPMC(A,parameter,value... |
471419b7fc0df29fbe27fbc006a23184d87caf8d4c09831e246ce30308b0356f | MATLAB | 5,095 | 128 | function [OutputBins UnSortedEntries,ComboMatchingInfo]=CustomComboBinning(InputVals,BinEdges)
%Use Bin Edge of NaN to automatically include or Inf to include anyting
%that is not 0
% InputVals=Grouped_Measurements.Verified_Quantifications.BoutonSorted(BoutonCount).All_Binned_Data.All_STORM_Bins(STORM_... |
7e9464e1e0b306c2d5d780d7f1340de940963ba0db356ac3654d3a2b35dab6ae | MATLAB | 5,095 | 173 | function BVpoint2txt(puntos,np,fiduciales,filename,elec_name,del_elec)
% <*LAN)<]
% v.0.9.1
%
% BVpoint2txt write to NAME_XYZ.txt
% _coorsystem.json
% _electrodes.tsv files
% BVpoint2txt(cfg)
% BVpoint2txt(puntos,np,fiduciales,filename,elec_name)
%
% cfg.
% ... |
5c523e625908938857838d7b420e10ae7d4e14930c12e60d3b8e3146ecf5a090 | MATLAB | 5,097 | 207 | function [limit, LAN] = search_lim(LAN, therhold, finn)
% search time limit for lost % of the dates, and graphic
% Pablo Billeke 15.4.2009
% limit = time limit (in seconds),
%
% therhold = therhold in porcentege eg. 80 o [90 80]
%
% fin = axe "x" of grafic
%
%
if nargin < 3
finn = [];
end
% crea latencias
% ... |
a489f111f5c1aadab98c53bf040c3e67b4d5448d93286af7256dfd1b106b76e5 | MATLAB | 5,097 | 148 | function avw_write(avw, fileprefix, IMGorient, machine, verbose)
% avw_write - write Analyze files (*.img & *.hdr)
%
% This function is a wrapper for
% avw_hdr_write and avw_img_write.
%
% avw_write(avw,fileprefix,[IMGorient],[machine],[verbose])
%
% where the input avw is a struct (see avw_read):
%
% avw.hdr -... |
1e5a16e90f2cb9e629172f34188e1e3479fd506db2ae4754975666bffa563ce8 | MATLAB | 5,098 | 145 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script generates the parcellation sets based on Seitzman (2020). %
% It is necessary to generate set 1 before making set 2. %
% %
% Author: ana.tr... |
5cd377f4b08deaaae7dd51a9dd0558582763ad6e82d46da98bb6ef61ad24c05b | MATLAB | 5,098 | 147 | function M = symfixedrankYYcomplexfactory(n, k)
% Manifold of n x n complex Hermitian pos. semidefinite matrices of rank k.
%
% function M = symfixedrankYYcomplexfactory(n, k)
%
% Manifold of n-by-n complex Hermitian positive semidefinite matrices of
% fixed rank k. This follows the quotient geometry described
... |
435709b33fdd566e636bb929447cf00dca9e57b07292d6896ede42b6f2fc7bc2 | MATLAB | 5,099 | 111 | function model = adaBoostTrain( X0, X1, varargin )
% Train boosted decision tree classifier.
%
% Heavily optimized code for training Discrete or Real AdaBoost where the
% weak classifiers are decision trees. With multi-core support enabled (see
% binaryTreeTrain.m), boosting 256 depth-2 trees over 5,000 features and
% ... |
6dda730bc8f05f6a35803af4c4af93ef4712968da47eb6798a18e491bfde098c | MATLAB | 5,099 | 113 |
function scored_replay = replay_scoring(data,analysis_type)
%scores replay events using several measures- line fitting, weighted
%correlation, "pac-man" path finding, and spearman correlation coefficient.
%modify_decoding.m subroutine is run to zero probability if no spikes from
%good place fields occur during time bi... |
2c22b75fe18b7da537bbbfed4023ff87814c027d85dc7f635840b4fad750da8f | MATLAB | 5,100 | 164 | %CCG - Compute multiple cross- and auto-correlograms
%
% USAGE
%
% [ccg,t] = CCG(times,groups,<options>)
%
% times times of all events
% NOTE: spiketimes in SECONDS.
% groups group IDs for each event in time list (should be
% integers 1:nGroups)
%
% alter... |
8adb67eb6af7d34acee86e8a0f71da95ca6726288bf563906656b1d5dcfa577c | MATLAB | 5,101 | 190 | function [] = violinPlotsStats(data,opts)
% violinPlotsStats significant box of violins :)
%
% Inputs:
% data: A matrix of data. Each row is an observation. each column is a
% variable.
% opts: a structure of options with potential fields:
% yl: y-limit (e.g. [ymin ymax])
% sigLevel: significan... |
9838a377e5240fdcccd5f2514cb75e5cac62cfe904ddadc1eaffa2e71f7229f7 | MATLAB | 5,102 | 193 | function [E, D] = multivariate_decomp(C,x,y,method,realflag,thr)
% MULTIVARIATE_DECOMP does a linear decomposition of multivariate time series,
% based on the covariance matrix.
%
% Use as:
% [E, D] = multivariate_decomp(C,x,y,method)
%
% Input arguments:
% C = covariance matrix (or csd) between input time series
... |
97bea670c3c7bb959b29c055479c6707cd7a5ae77453d58b9d3a8fa69398ceeb | MATLAB | 5,103 | 149 | function data = analyze_AB_coloc(params,roi,AB_chs)
%calculates correlation and volume overlap between different AB channels
folder = params.parentfolder;
%Extract parameters
xystep = params.xystep;
zstep = params.zstep;
nchannels = length(AB_chs);
for im1 = 1:nchannels %nested loops because we are looking at coloca... |
ec6a1dfdec2c51d6580cfc0bc219541d99925254837b6a460f63e456bf2ca4bd | MATLAB | 5,104 | 157 | %% (Predict-Spike Plotters: Plot) Error-Rates Stateordered
%
%Draw accumulating L0, L1, L2 prediction errors State-wise to evaluate
%trends. Post-spike states distributions are sorted by x0 State.
%
% Because yyaxis elements are not handled well in inkscape, if saving plots
% as SVGs, save the left and right axe... |
ed000f2974ea0b2b4217ac31175b878ccd1316807a8da7b13ed87e2f9cc4430a | MATLAB | 5,106 | 113 |
function [TempContrastedImage,TempContrastedImageColor,cMap_Contrasted]=...
Adjust_Contrast_and_Color(Temp,TempContrastLow,TempContrastHigh,ColorCode,ColorScalar)
WarningStatus=warning;
if isempty(ColorScalar)
ColorScalar=1;
end
if ColorScalar==1&&(TempContrastHigh-TempContrast... |
9f475cd8c835c055e885962c17b24739b84ade3380cadfcf65bcb2592a7836bf | MATLAB | 5,107 | 132 | function [A, strucCorr_score, B, U, V, R, Rp, pVal, Ncca] = CBIG_ASDf_CCA_factorBehavior(ind_scores,...
id_keep, reg, PAPset, path_subInfo, path_behav_scores, path_factorLoading, factor_order,...
factor_idx)
% [A, strucCorr_score, B, U, V, R, Rp, pVal, Ncca] =
% CBIG_ASDf_CCA_factorBehavior(ind_scores, id_keep,... |
7bf07e4eb24aa3c2f34055847cb58fffbd65ccefd3e187b24d1d3e3d47fe4a2f | MATLAB | 5,109 | 129 | clear all; clc
%%
data = dir('/DATAPOOL/ERRORMONITORING/SEM_mri_data/P*');
vois_dir = '/DATAPOOL/ERRORMONITORING/group_level_analysis/ROIs/Atlas/AAL3 and Brainnetome/';
dACC_voi = [vois_dir, 'ACC/dACC/A32p_BN.nii'];
AI_voi = [vois_dir, 'bilateral_AI/bilateral_AI_BN.nii'];
put_voi = [vois_dir, 'putamen/bilateral_puta... |
ff73278d3e873cb2f0732adb1741a00341e7cf08947b085d97ee494532924ecb | MATLAB | 5,109 | 148 | % First-kind integral equation on the unit cube, Laplace single-layer.
%
% This is basically the 3D analogue of IE_SQUARE1.
%
% Inputs (defaults are used if not provided or set empty):
%
% - N: number of discretization points in each dimension (default: N = 32)
% - OCC: tree occupancy parameter (default: OCC = 512)... |
7affb7def8a274ef4a24f1cb1266c0bec884cb3624f44e9cbd50c0c56b6f30ee | MATLAB | 5,110 | 215 | function [omckk,Tckk,Rckk] = compute_extrinsic_init(x_kk,X_kk,fc,cc,kc,alpha_c),
%compute_extrinsic
%
%[omckk,Tckk,Rckk] = compute_extrinsic_init(x_kk,X_kk,fc,cc,kc,alpha_c)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk given its projection
%on the image plane x_kk and the intrinsic camera param... |
f9a663dd0ddb596a4220161d4aa75f07a0f63b2e62f6460ba06815ad8e46657b | MATLAB | 5,110 | 205 |
outDir = '/nrs/branson/mayank/janOut/';
trkDir = '/nrs/branson/mayank/janTracks/';
dd = dir(fullfile(outDir,'*.mat'));
%%
params = singleViewTrackingDefaultParams;
parfor ndx = 1:numel(dd)
curIn = fullfile(outDir,dd(ndx).name);
curOut = fullfile(trkDir,dd(ndx).name);
if ~exist(curOut,'file')
trackSingleView... |
b0a6d6c42b514e912d5afdde6526f503052d717ee0319f3c51c4bef25db19347 | MATLAB | 5,111 | 160 | %% Load features found for the FIXED and MOVING images
loadExperimentParams;
loadandCrop;
%------------------------------Load Descriptors -------------------------%
%Load all descriptors for the MOVING channel
descriptor_output_dir_moving = fullfile(params.OUTPUTDIR,sprintf('%sround%d_%s/',params.SAMPLE_NAME, ...
... |
0314fa7d556bf87e2550f34a7de738ee19e7802b92f71b96fd19fb1897bfa449 | MATLAB | 5,112 | 187 | %init_intrinsic_param
%
%Initialization of the intrinsic parameters.
%Runs as a script.
%
%INPUT: x_1,x_2,x_3,...: Feature locations on the images
% X_1,X_2,X_3,...: Corresponding grid coordinates
%
%OUTPUT: fc: Camera focal length
% cc: Principal point coordinates
% kc: Distortion coefficients
% ... |
5afccb0f3c04a6c20288353c09775481dbfcf88aea7427f92de4f825ef294219 | MATLAB | 5,113 | 152 | function output = SeparateSubVolumes(telem,tnode)
% Assuming multiple material regions are delineated in 'telem', this routines
% returns:
% tags : list of nodes inside _every_ subvolume (one node per subvolume)
% tags{:,1} = coordiantes
% tags{:,2} = region ID
%
% extelem : indices to the elements that ... |
c04111208deb18686d4d7705afb40998cce0c6793eff95fe43479922cf8e9587 | MATLAB | 5,113 | 175 | % MF_DIAG Extract diagonal using multifrontral factorization via matrix
% unfolding.
%
% This algorithm exploits the fact that only a small subset of all matrix
% entries need to be reconstructed from the top-level skeletons in order to
% compute the diagonal.
%
% Typical complexity: same as MF.
%... |
d1098dd3115ae91484cfd1029c8f7eddc677fbfb1561c89826ae94ed708a1758 | MATLAB | 5,113 | 146 | % Five-point stencil on the unit square, Poisson equation.
%
% This example solves the Poisson equation on the unit square with Dirichlet
% boundary conditions. The system is discretized using the standard five-point
% stencil; the resulting matrix is square, real, and positive definite.
%
% This demo does the followin... |
4850608b4c959155ea6ada71d5344e6d41b2cfd958753be0336407a3a85743c4 | MATLAB | 5,115 | 158 | function [processedImagePair] = imageRegistrationWorkflow(imPair)
% Imoving and Istatic are either matrices containing images or full paths
% to images intended to be read
% processedImagePair is a structure with all relevant results from operations in
% this function
% ImgMoving.mask is the same size as ImgMoving.w... |
600f84f37465c50ce716a8da4bf5476f0a7a62861f912ee7f4da85862ae504a9 | MATLAB | 5,115 | 132 | %% empirical_var_to_smvgc
%
% Calculate sampling distribution for conditional frequency-domain MVGC from
% generated time series data for a specified VAR model
%
% <matlab:open('empirical_var_to_smvgc.m') code>
%
%% Syntax
%
% fE = empirical_var_to_smvgc(A,SIG,m,N,x,y,fres,H0,nsamps,mtrunc,decayfac,regmode,acmaxlag... |
e83d2a62851750c827320efc202065e9b96cda03cd9f65533ce4a193de632896 | MATLAB | 5,116 | 144 | function ret = w_spm_ov_movie(varargin)
% Movie tool - plugin for spm_orthviews
%
% This plugin allows an automatic "fly-through" through all displayed
% volumes. Apart from pre-defined trajectories along the x-, y- and z-axis,
% resp., it is possible to define custom start and end points (in mm) for
% oblique trajecto... |
f2bdf0e64c5e2b827bfc009ae68ca032965337c91d4c3a59bc26e5b2b1b77b75 | MATLAB | 5,116 | 158 | function solidmesh2nirfast(fn,saveloc,type,sdfile)
% solidmesh2nirfast(fn,saveloc,type)
%
% converts solid/tetrahedral meshes that are generated in outside
% applications to nirfast mesh format.
%
% fn is the location of the .ele file or a structure
% saveloc is the location to save the nirfast mesh
% type is the mesh... |
5b6a3689de91e58adeaed427a7e6b572fecc30698b41905dc6326ad9027d1395 | MATLAB | 5,120 | 128 | function [X, HMM, features, Kernel, err] = simulate_statemeans(datadir, hmmdir, HMM_name, n_subj, betwgroup_diff)
% [X, HMM, feat, Kernel, err] = simulate_statemeans(HMM_name, n_subj, betwgroup_diff)
%
% simulate timecourses for two groups where the group difference lies in
% the mean vector of one HMM state, then ... |
85a5a0533b3e56e14e1693b41e6726ef7aee4a09a254a2e22d7a0d884c4e2c5d | MATLAB | 5,121 | 236 | % 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,... |
dcbd7bd86f94a19e301ab6883c464773b8432eaf53149ad8ab5221b3bf15809c | MATLAB | 5,122 | 113 |
function [TempContrastedImage,TempContrastedImageColor,cMap_Contrasted]=...
Adjust_Contrast_and_Color_Single(Temp,TempContrastLow,TempContrastHigh,ColorCode,ColorScalar)
WarningStatus=warning;
if isempty(ColorScalar)
ColorScalar=1;
end
if ColorScalar==1&&(TempContrastHigh-TempC... |
0ebc4ab0c43dcc8a1fa304c355823b8de51d5471448fb970bd475851e11880fc | MATLAB | 5,123 | 152 | function pairsOut=View_Clear_Brain_ROI_Corr_fc(Anat,IM,M,dataOut,fc,Pmax,params)
%
% This function draws ROIs on the brain and connecting rods colored by sign
% of correlation values in C. This can be the fc correlation itself if that
% is passed, or it can be the correlation of brain fc with behavior if that
% ... |
d5729329a4b30e18c9462519e9e009462637ffebc204a5267131741721025c5f | MATLAB | 5,124 | 185 | function result = ReadYamlRaw(filename, verbose, nosuchfileaction, treatasdata)
import yaml.*;
if ~exist('verbose','var')
verbose = 0;
end;
if ~exist('nosuchfileaction','var')
nosuchfileaction = 0;
end;
if ~ismember(nosuchfileaction,[0,1])
error('nosuchfileexception parameter must be 0,1 or missing.');
end;
i... |
d052d682b0c3fcdf2b7697d65fb94c9ff45a5bd100584da99aebe0baf82708df | MATLAB | 5,125 | 173 | %% MVGC non-stationarity demo
%
% Demonstrates usage of the MVGC toolbox for non-stationary time series by
% "vertical" (windowed) regression on multi-trial data, for a minimal 2-variable
% VAR with linear trend and sinusoidally varying causal coefficient. Data is
% generated using the <var_to_tsdata_nonstat.html |var_... |
06dc64e2e48a0434ca62e8362bb1651c0214cca9b42f475732e4e6249bbb386e | MATLAB | 5,127 | 150 | clear
close all
basePath = 'D:\InVivo\S1-Baclofen\2022-04-07_Baclofen\4-baseline_220407_141157\';
load([basePath 'Grid-LFP-DS.mat'])
load([basePath 'Grid-TimeAligned-LFP-Gamma-DS.mat'])
load([basePath 'Grid-TimeAligned-LFP-Beta-DS.mat'])
load([basePath 'Grid-TimeAligned-LFP-Theta-DS.mat'])
% load('D:\InVivo\Ba... |
3df43e5d9f6f2379fb7586e88611f879c673b163ffe3063ed9dd16fe20a19ad8 | MATLAB | 5,127 | 183 | function [hfigs,savenames,errprctilespts] = PlotOverlayedErrorPrctiles(varargin)
[freezeInfo,lpos,...
errprctilespts,gtdata,nets,legendnames,prccolors,exptype,...
conddata,labeltypes,datatypes,...
prcs,...
hfigs,figpos,savedir,savenames,dosavefig] = myparse(varargin,...
'freezeInfo',[],'lpos',[],...
'errpr... |
c783e8712c883c0914dc78839dde360c7537860a2909c466c4846aa863cdb075 | MATLAB | 5,127 | 104 | function linfields = calculate_linfields(opS, modelParam, varargin)
% calculate_linfields.m
%
% Calculate linear place fields, based on Jadhav lab methods.
% Adapted from ReplayNet code, with assumption of simulating a single
% trajectory for a single epoch.
%
% Inputs:
% - opS: logical spike matrix, opS(ithCell,ithT... |
1161c02a40f8701ee3d5d0a6949732d2c46f2c6ebc046f74ba4b22ded23aa88a | MATLAB | 5,128 | 132 | %% OBSOLETE SEE HPOptim.m
%%
td = load('f:\aptStephenCPRInvestigate20180327\trnData20180503.mat');
%%
TTFILES = { ...
'trntrk_sh_trn4523_gt080618_made20180627_cacheddata_hpo_outer3_easy_fold01_tblTrn_hpo_outer3_easy_fold01_tblTst_prm0_20180713_20180716T150605.mat'
'trntrk_sh_trn4523_gt080618_made20180627_cacheddata_hp... |
738c4703340b8020d8d81e51af65623e70137c0e882ed797654d3f12fa116754 | MATLAB | 5,129 | 188 | function [dat] = read_combined_ds(dirname, hdr, begsample, endsample, chanindx)
% READ_COMBINED_DS reads electrophysiological data from a collection
% of files that are located in one directory, where each of the files
% should contain one channel and should have the same sampling frequency
% and number of samples as ... |
30f5750294694b0547b6003f1330e13d107e345e1992f08ade7d049d6fd9187e | MATLAB | 5,130 | 192 | matfiles= {'/home/mayank/temp/romainOut/side1/bias_video_cam_0_date_2016_06_22_time_11_02_02_v001.avi.mat',...
'/home/mayank/temp/romainOut/side2/bias_video_cam_1_date_2016_06_22_time_11_02_13_v001.avi.mat',...
'/home/mayank/temp/romainOut/bottom/bias_video_cam_2_date_2016_06_22_time_11_02_28_v001.avi.mat'};
calibf... |
b2e286c7a5d6f8cb77a44b025378cb03322d79f701c76a64e668eb244edc4fbe | MATLAB | 5,130 | 193 | % SplitDepAngleByRT
load('TrioEEGBehAnalysis.mat','vars')
[nPP,nConds,nDr,nTr] = size(vars.srt);
%% plot rew eff for depangle for slow/fast RTs
% only distr trials
depAngle = vars.depAngle(:,[3 4],:,:);
srt = exp(vars.srt(:,[3 4],:,:));
% medianRT = nanmedian(x, [4 3 2]);
% rtCutOffs = [medianRT, medianRT];
rtCutOff... |
6e6cc3406f4ade93e698451c37ff85a31169cd3daffc3baf2021113dc2c3428f | MATLAB | 5,131 | 220 | %% Clustering
[NCell,NRace] = size(SCE.Race);
[IDX2,sCl,M,S] = kmeansopt(SCE.Race,100,'var');
% M = CovarM(SCE.Race);
% IDX2 = kmedoids(M,NCl);
NCl = max(IDX2);
[~,x2] = sort(IDX2);
MSort = M(x2,x2);
%SCE.Race clusters
R = cell(0);
CellScore = zeros(NCell,NCl);
CellScoreN = zeros(NCell,NCl);
for i = 1:NCl
R{i} = ... |
bd6b8b4696950b0a14ec9cfa7ed3a5558e9d6b6f4258137b63fc6f17232e6e12 | MATLAB | 5,131 | 159 | % This script is an adaptation of Dr. J. Fortin's original source code.
% The original source code can be found at https://github.com/Jfortin1/ComBatHarmonization/tree/master/Matlab
% % brief demo
% data = randn(1000,10);
% batch = [1 1 1 1 1 2 2 2 2 2];
% mod = [1 2 1 2 1 2 1 2 1 2]';
% p=10000;
% n=10;
... |
94dbb9907f593386db208daa082ac2ea7041dbcb2b5d7672e3e15909eb9455a8 | MATLAB | 5,133 | 215 | function [omckk,Tckk,Rckk] = compute_extrinsic_init_fisheye(x_kk,X_kk,fc,cc,kc,alpha_c)
%compute_extrinsic
%
%[omckk,Tckk,Rckk] = compute_extrinsic_init_fisheye(x_kk,X_kk,fc,cc,kc,alpha_c)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk given its projection
%on the image plane x_kk and the intrins... |
a9aa283a3ce45be94901de7b06fd82c9920fbd378aea58511c1b35dc2d31447d | MATLAB | 5,136 | 175 | %
% AUTHORSHIP
% Math Lead & Primary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
classdef Coder < handle
methods(Static)
function out=NumMatLab(name... |
2c6061a2223c1bb53d523f3d3350c4ae9a4439456524a8719cd4a705311de88c | MATLAB | 5,139 | 107 | %% Description
% In this example, we showcase the use of custom phase functions (i.e.,
% other phase functions than Henyey-Greenstein).
%
% We will use the farField output array to see the angular distribution of
% scattered light, so we set model.MC.farFieldRes = 21. Our light source
% will be a pencil beam, going str... |
45fb27a1d4797d5c8b1b3d6e0fc266132f7b5a69583b0f6c03e5fa1182964512 | MATLAB | 5,141 | 173 | function [best_score, A, flag, best_perm] = score(A,B,varargin)
%SCORE Checks if two ktensors match except for permutation.
%
% SCORE(A,B) returns the score of the match between A and B where
% A is trying to be matched against B.
%
% We define matching as follows. If A and B are single component ktensors
%... |
45164dd124dbb48a784039e47ae2b271e9adceb02f849cab4eb841390dabce32 | MATLAB | 5,142 | 132 | function [timelock] = ft_appendtimelock(cfg, varargin)
% FT_APPENDTIMELOCK concatenates multiple timelock (ERP/ERF) data structures that
% have been processed separately. If the input data structures contain different
% channels, it will be concatenated along the channel direction. If the channels are
% identical in t... |
482d01b36065164e5cd79b6858882d8b1db134323475684d7c765589ed1c2bad | MATLAB | 5,144 | 201 | function Raster(unit, evt, tRange, varargin)
% Optional arguments
% 'fig', figure number for plotting over and existing figure
% default values for optional arguments
fig = [];
task = 'RL'; % only RL works for now
trials = {'xx'};
showEvents = false;
colors = {'r','b', 'g','c','m','y'};
tickWidth = 1.5;
tickS... |
d3287777098dd26631b16a8357676dd3494fdc09779569f840a5de034410448b | MATLAB | 5,145 | 178 | % :Usage:
% ::
%
% [y, pI, S, I] = hpfilter(y, TR, HP, spersess, varargin)
%
% :Inputs:
%
% **y:**
% data to be filtered
%
% **TR:**
% TR in seconds
%
% **HP:**
% Highpass filter cutoff in seconds
%
% **spersess:**
% scans per sessions; vector with length = # of sessions
%
% :Opt... |
fc5fb9ce5b63064f0576752125e85c5e2e036f6444e735a39aa24871f82b83d0 | MATLAB | 5,145 | 153 | function skel = Skeleton3D(skel,spare)
% SKELETON3D Calculate the 3D skeleton of an arbitrary binary volume using parallel medial axis thinning.
%
% skel = SKELETON3D(img) returns the skeleton of the binary volume 'img'
% skel = SKELETON3D(img,mask) preserves foreground voxels in 'mask'
%
% MATLAB vectorized implementa... |
6e4e1710760add7cc84f5b9a9a16c0a2ffc749bb4dece9ae873692c3e78d3b03 | MATLAB | 5,147 | 98 | function f = PlotSegmentedHand(ChannelMap, grid_tags, pbt_regions, palm_seg_idx, dbt_regions, dors_seg_idx, text_size)
if nargin < 7
text_size = 0;
end
% Load and scale ref images
[a,~,~] = fileparts(mfilename('fullpath'));
orig_size = [1200, 1050];
% Palmar
[palm_ref_img, ~, palm_r... |
7a43ece05191b0e15be0b16a29243c9d0e8b3441a3e2a4462f71981233314310 | MATLAB | 5,149 | 136 | % GonzalezPereyra_etal_Fig_04 2024
function GonzalezPereyra_etal_Fig_04
load ([pwd '/Data_GonzalezPereyra_etal_Fig_04.mat'])%#ok<*LOAD>
[SortedMatrixBehav,maxIndexBehavShort]=SortThisMatrix_Mean(ZscoresShort,2000,3000,[]); %#ok<*ASGLU>
clim([-1 3])
hold on
plot([3000 3000],[0 size(ZscoresLong,1)],'w--')
pa... |
331176708768d04e5567263afff1d894833d029ba8813f845f62fdcd4b97ece9 | MATLAB | 5,151 | 142 | function [lfp, spike, stm, bhv] = spass2fieldtrip(dirname, varargin)
% SPASS2FIELDTRIP reads data from a set of SPASS data files and converts
% the contents into data structures that FieldTrip understands. Note that
% dependent on the SPASS data it might be required to change some
% hard-coded parameters inside this f... |
dd8a713365be4f12de3f966d52738a6dab973cb3a11e7c653223aa11a6a3a53c | MATLAB | 5,151 | 145 | function [responseData, runLabels] = sl_responseDiscrimData(respTime, ...
trialCount,respSecs,refreshRate, blockLength, keyCodes, response, ...
order, runNum, itiSeq, jitSeq, jitter)
% use like this:
% load('taDetect7','order'); % load block order from stimFile
% load('20141028T144433_taDetect5.m... |
678843456ab7a190ab07da56da0d03aa4ab98e679210cb7d2817a5b877f477c5 | MATLAB | 5,153 | 118 | function h_executeGroupCalcRoi3(handles)
global h_img3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
set(handles.pauseGroupCalc,'Enable','on');
if ~isfield(currentStruct, 'activeGroup') || isempty(currentStruct.activeGroup.groupFiles)
disp('No active group!')
... |
780e2545f7afe2c12105a5e741ba893a4071b7610d391eba23386f9970769bf9 | MATLAB | 5,154 | 162 | function voldata = iimg_reconstruct_3dvol(dat, volInfo, varargin)
% Reconstruct a 3-D volume from a dat index list
%
% :Usage:
% ::
%
% voldata = iimg_reconstruct_3dvol(dat, volInfo, [optional args])
%
% :Optional Inputs: if entered, will write .img file to disk
%
% **'outname':**
% followed by output name... |
0aaac19171719c23ec282c17bc75c310dff9b40de44923b356a16c1baefa6b67 | MATLAB | 5,158 | 129 | function handles = plot_arrow( x1,y1,x2,y2,varargin )
%
% plot_arrow - plots an arrow to the current plot
%
% format: handles = plot_arrow( x1,y1,x2,y2 [,options...] )
%
% input: x1,y1 - starting point
% x2,y2 - end point
% options - come as pairs of "property","value" as defined for "line"... |
1202c373289b6c94251df2bcc16a5ced1eb478c934dfe0b5689cbbb01fd425d4 | MATLAB | 5,158 | 158 | function write_gdf(filename, hdr, data)
% WRITE_GDF(filename, header, data)
%
% Writes a GDF file from the given header (only label, Fs, nChans are of interest)
% and the data (unmodified). Digital and physical limits are derived from the data
% via min and max operators. The GDF file will contain N records of 1 sampl... |
ce25abc4118a6cf28adbf86dd2b192074bcd866664d4ebe1e7ae76de7c4693fa | MATLAB | 5,160 | 129 | function [X, A] = PCA_stochastic(A, k)
% Example of stochastic gradient algorithm in Manopt on a PCA problem.
%
% PCA (principal component analysis) on a dataset A of size nxd consists
% in solving
%
% minimize_X f(X) = -.5*norm(A*X, 'fro')^2 / n,
%
% where X is a matrix of dimension dxk with orthonormal ... |
5e3c0e83bbb7f2f02cf30f0e29ab9503ebbb1638cfcb2374fd346b062e247359 | MATLAB | 5,162 | 183 | function D = pdist2( X, Y, metric )
% Calculates the distance between sets of vectors.
%
% Let X be an m-by-p matrix representing m points in p-dimensional space
% and Y be an n-by-p matrix representing another set of points in the same
% space. This function computes the m-by-n distance matrix D where D(i,j)
% is the ... |
02501b2a6b4b6df9cdc197206be96be23b8ea151c0d13e019f141d904f91188f | MATLAB | 5,163 | 146 |
%% parameters setting
clear;
hemi={'lh';'rh'};
hm=1;%editme 1-L 2-R
%surf_tpe='inflated'; %edit me
surf_tpe='sphere';
dataDir = '/home/xianchige/DXH/data/zhuyashuo/data/locating/GLManalysis';
%% load data
ssname='sub_zhuyashuo';
interptype = 'linear'; % what type of interpolation?
surfsuffix='orig';
[numlh, numrh] =... |
223cac52df5a99c8e2e9d6bf06edf79d4ad9971f7362dc11448292b04301f012 | MATLAB | 5,163 | 148 | function [data] = ft_denoise_synthetic(cfg, data)
% FT_DENOISE_SYNTHETIC computes CTF higher-order synthetic gradients for
% preprocessed data and for the corresponding gradiometer definition.
%
% Use as
% [data] = ft_denoise_synthetic(cfg, data)
% where data should come from FT_PREPROCESSING and the configuration s... |
b57dc6205a479e3c7925dd2615ff2e802d23894026de21e49215c972b47c6b72 | MATLAB | 5,163 | 101 | %% 共空间模式 | common spatial patterns (CSP) 不可在main中调用，仅可单独使用
%% one vs rest Multiclass or two-classes 目标函数法
% how：N个类别得到N个投影矩阵，对每个投影矩阵取最佳的2m个方向（前后各m个），特征矩阵为2m*N维
% 优点：N类需要计算N个投影矩阵，即使N很大，计算量也不会很大
% 缺点：由于rest类别是混合类别，内部特征并不统一，因此很难找出最优的投影方向，即结果可能并不是最优的
% Inputs
% EEG_train: 训练集各类别的所有trials：
% EEG_train.x: E... |
b5f75812b4d180d01e2c37e571d1e1ff762c127fe9aad573b8227aa2d281a8ae | MATLAB | 5,163 | 220 | %%% 2024-10-01: Example T1 map script, working on phantom data
%%% Note that this data was acquired using a purposely lowered voltage for
%%% the inversion pulse, to create a situation with incomplete inversion
%%% Author: Shaihan Malik, King's College London
%% T1 map reconstruction
addpath('lib');
%%% flag for whic... |
fa65c023301475c81a592bc3a505c7d41bcd9969f0e9b94dd80c6776bb31864f | MATLAB | 5,163 | 68 | clear;clc;close all
ROOTPATH = strcat(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 4), "Data\Processed Data\");
cd(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 2))
protStr = "Active duration";
temp = NoveltySU.utils.dirItem(strcat(ROOTPATH, protStr), "spkData.mat");
popRes = cell2mat(cellfun(@(x)... |
17a641bf0bc9332024ee4c0aa930426dbd7eef21c68448599f15d1ea67a784d8 | MATLAB | 5,164 | 186 | function [model, loglikHist] = mixGaussDiscreteMissingFitEm(data, K, types, varargin)
%% Class-conditional is product of Gaussians and multinoullis
% p(x|z=k) = prod_{j in C} N(x_j|mu_{jk},sigma_{jk}) * ...
% prod_{j in D} discrete(x_j | beta_{jk})
% This file is from pmtk3.googlecode.com
% Parameter of m... |
84c0764a4c15c86072f577ee9c52f2edcf0678102092ff4f67c3cc7f11f330eb | MATLAB | 5,164 | 142 | %% GCCA_tsdata_to_smvgc
%
% Calculate _unconditional_ frequency-domain MVGC (spectral multivariate
% Granger causality) from time series data by "traditional" method (as e.g.
% in GCCA toolbox)
%
% <matlab:open('GCCA_tsdata_to_smvgc.m') code>
%
%% Syntax
%
% f = GCCA_tsdata_to_smvgc(U,x,y,p,fres,regmode)
%
%% Argum... |
9b6b5e2521ed3e441f450820e9ec286611d1774ea6852d31a6c805cae549a9b3 | MATLAB | 5,164 | 150 | function [dictmatchidx,minEditDist] = shaharTieUniqueGene(transcript,confidence,dictionary,labels,confThresh,numDrops,editScoreMax)
%Note there is a hardcoded delimiter as a temporary hack
DELIMITER = char(9);
%Pass in the cropped transcript and confidences, ie excluding primer rounds
L = length(transcript);
%First,... |
b0450830c7e2fc06ed2281d716e0d3d4ace72d014b997cd82ed94c467120d727 | MATLAB | 5,164 | 156 | function [posterior, out] = demo_noiseAR1 ()
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [posterior, out] = demo_noiseAR1 ()
% Demo for linear system with auto-regressive AR(1) state noise
%
% The class of generative models that the toolbox can deal with is actually
% more general th... |
13786347aca5761161c5393b08d6994a269971afa2428bc39e80ed9fae3ccc56 | MATLAB | 5,166 | 146 | function [collect] = channelcombination_lan(channelcmb, datachannel)
% CHANNELCOMBINATION creates a cell-array with combinations of EEG/MEG
% channels for subsequent cross-spectral-density and coherence analysis
%
% You should specify channel combinations as a two-column cell array,
% cfg.channelcmb = { 'EMG' 'MLF3... |
62976db2794b9babdf392f3ec06dd8d76e664125bb81de83512e6a4205cbfdcb | MATLAB | 5,166 | 135 | function SlidingTimeDecode(AllTrialData,Labels,DecodeLabels,TimeWindow,TimeStep,StepSize,OutDir,Tag,varargin)
% Plots confusion matrix (decode analysis) for decoding each (relevant)
% condition.
% [~,PThresh] = Utilities.ProcVarargin(varargin,'PThresh',0.001);
[~,PThresh] = Utilities.ProcVarargin(varargin,'PThr... |
9dad3feff7704a221a6e35187f0420673994c0074bf3d608aba92407753c03cb | MATLAB | 5,166 | 141 | function UnitIDs = FindSignificantUnits(TaskLabel,varargin)
%FindSignificantUnits Returns list of significant units, by pval
% if only mirror units desired, include the following in the varargin in
% the function call
% ('Mirror','AllTrialData',AllTrialData);
[varargin,PThresh]=Utilities.ProcVarargin(var... |
d39ff3eb07c745119b24e052c08bb128025cec1f506e36cb5603bfeba70fb6d8 | MATLAB | 5,166 | 149 | function [data] = ft_denoise_synthetic(cfg, data)
% FT_DENOISE_SYNTHETIC computes CTF higher-order synthetic gradients for
% preprocessed data and for the corresponding gradiometer definition.
%
% Use as
% [data] = ft_denoise_synthetic(cfg, data);
%
% where data should come from FT_PREPROCESSING and the configuratio... |
124cdc1979feb408adc1cb71211bf0b5ff68b86b4d5c890b43d497b4e279614b | MATLAB | 5,168 | 154 | function draw_figureS1AB(p,decRes)
%
% This code is for drawing figure S1AB
%
%
%% settings
% score index
dimIdx = 1:14;
catIdx = 15:48;
emoIdx = 1:48;
% get roi Idx
indivIdx = ismember(p.roiDescrip,{'VC','TPJ','IPL','PC','STS','TE','MTC','Insula','DLPFC','DMPFC','VMPFC','ACC','OFC'});
subIdx = ismember(p.roiDescrip,{... |
80a45b1137600a5d60c094a4b7293ce3350045ca55dde93c9e17fa6d0cf42197 | MATLAB | 5,169 | 157 | classdef ParameterVisualizationTgtCropRadiusID < ParameterVisualization
% Visualizes the crop used for identity linking: a labeled animal,
% aligned head-up when head/tail landmarks are specified, with the
% link_id_cropsz_height/width rectangle overlaid.
properties
% If true, a prop for this pvObj is curr... |
272d9702ed09453574616c07f87f7f8d37f18462812c6f7f63264f350300f690 | MATLAB | 5,174 | 122 | function varargout = DPABISurf_Utilities(varargin)
% DPABISURF_UTILITIES MATLAB code for DPABISurf_Utilities.fig
% DPABISURF_UTILITIES, by itself, creates a new DPABISURF_UTILITIES or raises the existing
% singleton*.
%
% H = DPABISURF_UTILITIES returns the handle to a new DPABISURF_UTILITIES or the hand... |
96e5071df3ec34835f7fcb094bc6e75acbce5b602be3f5b57b6d5ff688b3abe4 | MATLAB | 5,174 | 165 | % Read data within a mask (described by maskInfo) for 3-D or 4-D image data
% See examples below.
%
% :Usage:
% ::
%
% [dat, maskInfo] = iimg_get_data(mask, imageNames, varargin)
%
% :Inputs:
%
% 3 input options for mask:
% 1) a filename string, e.g., 'mask.img'
% 2) volInfo structure (from iimg_read_im... |
046630d7b28940c3c6895390bf34f8ee8e868d7364cae912797fcf7f9b3fd60b | MATLAB | 5,175 | 161 | % To plot PSD estimated using DPSS sequences.
% function [Pxx_dB,freq, ax]=plot_dpss_psd(data_in, fs, optional)
% ---------------------------------------------------------------------------
% Example: [Pxx_dB,freq, ax]=plot_welch_psd(data_in, fs, 'NW', NW, 'nfft', nfft, ...
% 'plot', true, 'plotconf', true, 'xscale', ... |
2ae01a4678eb04edd398aa34f6759251e45ecca9646930bc2e5c05bb25bd1402 | MATLAB | 5,176 | 149 | % Five-point stencil on the unit square, constant-coefficient Helmholtz
% equation, Dirichlet boundary conditions.
%
% This is basically the same as FD_SQUARE1 but for the Helmholtz equation. The
% resulting matrix is square, real, and symmetric (at general frequency).
%
% Inputs (defaults are used if not provided or s... |
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