sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4d0c60ac3d719414990074b7d0d2d0a34e5412383c14ea678ee30298213705f4 | MATLAB | 1,238 | 39 | function [ params ] = tapas_BLT_runIntroTrain( params )
% tapas_BLT_runIntroTrain Presents written instructions and logs the event
%
% About:
% Coded by F.Petzschner 19. April 2017
% Last change: F.Petzschner 19. April 2017
for i = 1:params.nIntroTrain
Screen('DrawTexture', params.screen.window, params.tex... |
2196b6d2abdee3283cd250c1399cf0fd2e588dce07f8bbaf1c65164bbad585de | MATLAB | 1,239 | 47 | function A = op_pad(B, newSize, paddedWith)
% Matlab function to pad an array to a desired new size
%
% By: Christopher C. Wilcox, PhD
% Naval Research Laboratory
% Date: Mar 14, 2011
%
% Usage: A = op_pad(B, newSize, [paddedWith]);
% Input:
% - B is the input array
% - newSize is a 2 element vector, [rows, cols... |
3d69e0029908818d20ce7d8b119def31ab2514b8b00c6e9148472bd109c7c9aa | MATLAB | 1,239 | 44 | %% get_set_bfr_lbv(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be fid
% ... |
70298e2d16d914ab68d9cdce71d2838ba52e8f3e256ef56666f54ef6ac95d036 | MATLAB | 1,239 | 74 | function [err,p,f] = GetPath (s, allmc)
%
% [err,PathString,FileString] = GetPath (s, allmc)
%
%Purpose:
% Breaks the string s into a path and file part
%
%
%Input Parameters:
% s is a string like How/Didley/Doo
% allmc : 1 --> search for path using both types of file-separators / and \
% 0 --> search... |
bfe122a4b8a96bf7c9f980351ef27ed8623b4441ce3af8a9108d516e39c3fd12 | MATLAB | 1,239 | 29 | %labelFileName = '/home/kannanuv/workspace/code/HeadLight//data/ORL_ARA_v2.3_bi_rotated.tif';
%matchingSting = 'layer 1';
function imLabel = extractCorticalLayers(labelImageFile, matchingString)
addpath ('/usr/local/netgpu/fluoMouseBrain/scripts/utils/');
imLabel = imreadstack(labelImageFile);
%% Get sub-region list
... |
ddddef563d2a9a60d6f09cb83cf345c0f313406592c23c1f5917bfa32e7d5642 | MATLAB | 1,239 | 34 | function [img,dims,scales,bpp,endian] = read_avw_complex(fname)
% [img, dims,scales,bpp,endian] = READ_AVW_COMPLEX(fname)
%
% Read in a complex analyse file into either a 3D or 4D
% array (depending on the header information)
% Uses avwcomplex to make temporary files for reading
% Ouput coordinates are in MEDx conv... |
01af85e6d7f53a6fd1b8ad7b6fa0d40c4130fc2e3af20998b6706b707b968b3e | MATLAB | 1,240 | 33 | function p = compareDeltaWT_CPiCPr
datpath = 'C:\Users\mld9131\Documents\GitHub\Papers\MLD\Figure1\Data';
%load data OFC-CPi
CPi = load(fullfile(datpath,'CPi_opto.mat'));
[highc_CPi,highe_CPi,lowc_CPi,lowe_CPi,mixc_CPi,mixe_CPi]= wt_notsided(CPi.ExpA,CPi.ConA,CPi.Raw_data);
%change
lowchange_CPi = lowe_CPi-lowc_CPi;
... |
24b317bec50b902f9d104f84d88b1112b29ad1943f92701f3afc79f79b26e00c | MATLAB | 1,240 | 37 | function plot_gaitERSP(data, chanIdx, f_axis, clim, colorbr, cfg)
FOI = ismember(cfg.f_axis, f_axis);
freqs = cfg.f_axis(FOI);
times = cfg.t_axis;
f_ticks = 5:5:cfg.f_axis(end);%or 10?
f_tickLab = {'','10','','20','','30','','40','','50','','60'}; % make dynamic!
t_ticks = linspace(times(1), times(end), 21)... |
4055ca94c525b479f63ed3fac30701423b2107fc4314f077a6a5e1da247cad0c | MATLAB | 1,240 | 66 | %% function output = function_name(input)
%
% Usage:
%
% Input
% --------------
%
% Output
% --------------
%
% Description:
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created:
% Date last modified:
%
%
function [r2s,t2s,m0] = R2starmapping_CRSI(img,te,m0mode,sigma,m)
% set range of R2* and T2*
minT2s =... |
6bff14ccbc708abbe3db73b9e4760ed4e5791e0c7953b0b068db4af13365527d | MATLAB | 1,240 | 45 | function percentile = prctile(this, percentile, varargin)
% Computes given percentile in data (e.g. 50 for median)
%
% Y = MrImage()
% percentile = ...
% Y.prctile(percentile, 'ParameterName1', 'ParameterValue1', ...)
%
% This is a method of class MrImage.
%
% IN
% percentile percent for percentile computa... |
744ea76b52e35780375db0ef6154bb63454bbc381154814f3fc643340a030b6f | MATLAB | 1,240 | 35 | function plot_pc(rez,i)
f=figure;
channel = rez.Merge_cluster{i,5};
Nchan = length(channel);
PC = rez.PC{i};
ki =0;
for k=1:Nchan
subplot(Nchan,3,1+ki)
plot(squeeze(PC(k,1,:)),squeeze(PC(k,2,:)),'.','MarkerSize',2)
title(['Cluster:', num2str(i)]);
ylabel('... |
a782f8df4e14830d14fb7e025cfe704eacab0b8572c34514f2e8791dc0aa00bf | MATLAB | 1,240 | 29 | function [pvec, pstruct] = tapas_hgf_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% ... |
06e01abf84b2ecbe550d63fad8d6f8d6279f8753d4b4b65516958aeb3044104d | MATLAB | 1,241 | 42 | function MaskSignal = TMSextract (DataDir,MaskDir)
% DataDir - folder containing nii images. e.g. D:\test
% MaskDir - image dir. e.g. D:\gray.nii
MaskHeader = spm_vol(MaskDir) ;
[MaskVol,MaskXYZ] = spm_read_vols(MaskHeader) ;
[patha b c] = fileparts(DataDir);
if c=='.nii'
ImgHeader = spm_vol(Dat... |
3e955b8cd765fa11092e25dfe53e98566fb1d596f0d45feb066378eea89f6adb | MATLAB | 1,241 | 37 | function out = DK_crinkle(x)
% DK_crinkle Computes James Theiler's crinkle statistic
%
% Calculates the "crinkle statistic" on a vector x
% <(x_{t-1}-2*x_t+x_{t+1})^4> / < ( x_t^2 ) >^2
% as proposed by James Theiler
%
% ------------------------------------------------------------------------------
% Copyright (C) 19... |
8d3134b68c711ff4f783bef73522bf04424aeb06037948b8e3651dbc0483bc95 | MATLAB | 1,241 | 41 | function [img,dims,scales,bpp,endian] = read_avw(fname)
% [img, dims,scales,bpp,endian] = READ_AVW(fname)
%
% Read in an Analyze or nifti file into either a 3D or 4D
% array (depending on the header information)
% fname is the filename (must be inside single quotes)
% Note: automatically detects - unsigned char, sh... |
a994843eb9de10ebe8c5479cfe6027dce35ae9299afee6dbf6b92dd6eaa1d422 | MATLAB | 1,241 | 40 | function affineTransformationMatrix = get_affine_matrix(this)
% Transforms geometry parameters into affine 4x4 matrix (T*R*Z*S)
% with T = Translation, R = Rotation, Z = Zooming (Scaling with Resolution)
% S = Shearing
% i.e. performing operations in the order from right to left, in particular
% rotation before tr... |
2285887a39ee6c251af614b26251ad9e96a7eb148a467db40b5df96ebfca164e | MATLAB | 1,242 | 39 | function [contrasts, first_peak_in_each_con] = get_contrast_indicator_improved(DB, myfields)
% [contrasts, first_peak_in_each_con] = get_contrast_indicator_improved(DB, myfields)
%
% [contrasts, first_peak_in_each_con] = get_contrast_indicator_improved(LTMDB, {'Memtype' 'Control'});
%
% Simple funct... |
2a6a285d460703dbde4637ed6fa533bd1d7cbec92070a34e695d92fd4f99a7ff | MATLAB | 1,242 | 42 | function make_contrasts_decision()
% Figure 4 decision contrasts identified from SPM.xX.name.
%% USER SETTINGS
spmMat = 'D:\path\to\MRI_project\firstlevel_decision_public\sub-001\SPM.mat';
spmDir = 'C:\path\to\spm';
addpath(spmDir);
spm('Defaults','fMRI');
spm_jobman('initcfg');
load(spmMat,'SPM');
names=SPM.xX.name... |
304ae08ba6ec4514d73371e7120e0f88c39c72b6390979fd9aee03c6ee2b28df | MATLAB | 1,243 | 42 | function y = tapas_softmax_binary_sim(r, infStates, p)
% Simulates observations from a Bernoulli distribution
%
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which... |
5a435a7f507b0e0b48d07477df91a9a1d7e8b6491fcc9c7d7f385e9bbd47c678 | MATLAB | 1,243 | 35 | function pCT = applyHUMapping(imageData, headMask, skullMask)
%APPLYHUMAPPING Convert normalised PETRA to pseudo-CT Hounsfield units.
%
% DESCRIPTION:
% applyHUMapping assigns Hounsfield unit values to a pseudo-CT:
% - background (outside head) = -1000
% - head (soft tissue) = 42
% ... |
5be514069a5097460d5581d67fcdd8e6277fa5a28d4cbcdfa8ca057649734f78 | MATLAB | 1,243 | 57 | function [p,n,v,e,e2]=afni_fileparts(fn)
% Returns the file parts of an AFNI volume file
%
% [PATH,NAME,VIEW,EXT,EXT2]=AFNI_FILEPARTS(FN)
%
% INPUT:
% FN AFNI file name, optionally with path, of the form
% PATH '/' NAME VIEW [EXT], with VIEW in '+tlrc','+acpc','+orig'.
% EXT can be .HEAD or... |
9d72e6460f9b6df6df59456069515b5e88a3d58f440523918b458cb4676bc0a2 | MATLAB | 1,243 | 37 | function [ subject ] = nmri_regenerate_cleaning(subject_new, subject_clean, params)
%[ subject ] = nmri_regenerate_cleaning(subject_new, subject_clean, params)
%
% This function will re-generate the cleaning, marking and vigilance
% scoring from one subject struct to another subject (or the same one with
% updates na... |
c938c39a38064aa32ebaf29a019f05738081de3672933be754af784acfe783d3 | MATLAB | 1,244 | 68 | function med = circ_median(alpha,dim)
%
% med = circ_median(alpha)
% Computes the median direction for circular data.
%
% Input:
% alpha sample of angles in radians
% [dim compute along this dimension, default is 1, must
% be either 1 or 2 for circ_median]
%
% Output:
% mu mean direction
... |
eb28ff922d5f48d00e282af7c30fd9efb10c957ec726dbce3ffd8e46e9e84292 | MATLAB | 1,244 | 59 | function Test_Multinomial()
% This file is part of Manopt: www.manopt.org.
% Original author: Bamdev Mishra, April 06, 2015.
% Contributors:
% Change log:
clear all; clc; close all;
% Synthetic data
m = 1000;
n = 5;
% Synthetic example
A = rand(n, m);
A = A./(... |
3dcf34de3448bfedca1bce989adacd104b55e987b9f34b6346bbe3d00387afaf | MATLAB | 1,245 | 43 | function dt = niftiClass2DataType(matlabType)
% Transform the string matlabType into a numerical codes used by NIFTI-1
%
% dt = niftiClass2DataType(matlabType)
%
% Here is the table showing the assocation between Matlab type and NIFTI-1
% data type.
%
% String (Matlab) ----> NIFTI-1
% -----------------------... |
64ffcaac8bdb4cb0ddf41174a4cc0c3d69d2f5e7df7d05007ed5e381f6caf18c | MATLAB | 1,246 | 50 | function [RHSdiv, RHSdivx, RHSdivy] = divergenceTerm2D(F)
% This function calculates the divergence of a field using its face
% average flux vector facevariable, which is a face vector
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the ... |
0852d86eef4fed1596064aa2f19684b81eaaa6f14125d37de113a16d2ba1f6b9 | MATLAB | 1,247 | 18 | function res = is_undefined_function(exp)
% test if a given function handle has no associated code (i.e. it is neither a lambda nor a reference to a known m-file)
res = false;
cexp = char(exp);
if cexp(1) ~= '@' && ~exist(cexp,'builtin')
try
% this section is a performance optimization due to the lack of a ... |
46fc33459ebda66efe3ba36908c9f270d53a619af9884076f7ec58eb2c5e9362 | MATLAB | 1,247 | 38 | function [logp, yhat, res] = tapas_bayes_optimal_categorical(r, infStates, ptrans)
% Calculates the log-probability of the inputs given the current predictions
%
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2013 Christoph Mathys, TNU, UZH & ETHZ
%
... |
c3e6acb7a885b3da7c064f938cd1e5cd4a098c5c5a1a9fa3f69cd80909ce3d26 | MATLAB | 1,248 | 56 | function [err, v] = gind2sub (sz, ndx)
%
% [err,] = gind2sub ()
%
%Purpose:
% This function converts a linear index to multiple subscripts based on the dimensions.
% It is a further modified version from Ziad's modification based on the original Matlab
% function IND2SUB. The difference from what Ziad did is th... |
59fa72e661e1dc6d11c904494db2f2378fd6a0923460c787cd1bdccec2626776 | MATLAB | 1,249 | 39 | function X = lyapunov_symmetric_eig(V, lambda, C, tol)
% Solves AX + XA = C when A = A', as a pseudo-inverse, given eig(A).
%
% function X = lyapunov_symmetric_eig(V, lambda, C)
% function X = lyapunov_symmetric_eig(V, lambda, C, tol)
%
% Same as lyapunov_symmetric(A, C, [tol]), where A is symmetric, its
% eigenvalue d... |
9997fafc4664a259fc7695356e2357df03aa5f843a010801c2d8030dee13bc61 | MATLAB | 1,249 | 47 | function [stimInfo, stimPatterns] = getStimPatterns(stimInfo, Params)
%GETSTIMPATTERNS Identify unique patterns of stimulation
% Detailed explanation goes here
% 1 | Get unique stimulation numbers
numElectrode = length(stimInfo);
numStimPerElectrode = zeros(numElectrode, 1);
for elecIndex = 1:length(stimInfo)
... |
bf84e122924d7967eeb36279590ba3bde7d1c07a1b976e345dd7c30667795044 | MATLAB | 1,250 | 44 | %% get_set_bfr_lbv(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be fid
% ... |
e4ae5dcbc79288cfb9682bfa9c4eaf8aa372965d9c3bf51cae2ebf73674e2c9e | MATLAB | 1,250 | 44 | function cont_model(savg,ind_ins_org,roiFile,Mag,Streamlines,Prefix,Vn)
% This script generates group-avearged Laplacian eigenmaps and eigenmap's
% gradient magnitude as well as vector files.
% Compute gradient for roi
[~,roi_msk]=read(roiFile);
ind_roi=find(~~roi_msk);
N=size(roi_msk);
% index of roi into the whole ... |
57266fb091733091d07782e6e848e831373c70a2b9cd1347b82bfc9d00a3f744 | MATLAB | 1,251 | 43 | % Please cite this paper if you use any component of this software:
% D. Cunefare, L. Fang, R.F. Cooper, A. Dubra, J. Carroll, S. Farsiu, "Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks," Scientific Reports, 7, 6620, 2017.
% Re... |
98c9fadc8b38acb4e06ecfe84135b9fe78dfe0e2bc9f60daae34efc01128a796 | MATLAB | 1,251 | 45 | function outargs = hlp_resolveall(context)
% Look up all symbols in the current hlp_scope scope.
% Scope = hlp_resolveall(Context)
%
% In:
% Context : Optionally the execution context (stack) at this point, if known.
% Can be obtained via try/catch.
%
% Out:
% Scope : a struct with values assigned to sy... |
c8db3cef6c9a1ad43e3a86e62561ec79a7c561e876e988c945824fbe041a80bb | MATLAB | 1,251 | 33 | function [verbose, handles, labels] = tapas_physio_plot_filter_respiratory(rpulset,m, s, t, ...
rpulset_out, rpulset_out_trend, trend, rpulset_out_trend_filt, verbose)
% plot repiratory filtering
% (C) 2023 Johanna Bayer
verbose.fig_handles(end+1) = tapas_physio_get_default_fig_params();
set(gcf, 'Name', 'P... |
e86923aca3b3010c0ebd931495e2be6e379c598cc0fd54ac6954a5348db6810d | MATLAB | 1,251 | 34 | function ft_destroy_buffer
% FT_DESTROY_BUFFER stops the thread with the TCP server attached to
% the local MATLAB instance and removes all data from memory.
%
% Use as
% ft_destroy_buffer
%
% See also FT_CREATE_BUFFER
% Copyright (C) 2010, Stefan Klanke
%
% This file is part of FieldTrip, see http://www.fieldtript... |
32f85f3507f3fd40884a5b1756bddb90f87c64d64b59b3ac70aa9025426b79cf | MATLAB | 1,252 | 40 | function [fitresult, gof] = createFit(x, Y)
%CREATEFIT(X,Y)
% Create a fit.
%
% Data for 'Yfit' fit:
% X Input : x
% Y Output: Y
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
% Auto-generated b... |
74a23f49fc53e01f1489a0aaae7f157391c96386a1a13c2d4303945085591b9d | MATLAB | 1,252 | 41 | classdef nnnormalizelp < nntest
properties (TestParameter)
h = {1 2 3 4}
w = {1 2 3 4}
d = {2 3 4}
p = {2 4}
end
methods (Test)
function basicl2(test, h,w,d)
x = test.randn(h,w,d,3) ;
y = vl_nnnormalizelp(x) ;
dzdy = test.rand(size(y))-0.5 ;
dzdx = vl_nnnormalizelp(x,d... |
d540c8d071f639e1221173aa140389e3ab22c9390e01c5949c6a22ac732f88ee | MATLAB | 1,252 | 49 | function db_cluster_table(clusters,fnames)
% function db_cluster_table(clusters,fnames)
%
% tor wager
% counts studies and contrasts in each cluster
%
% clusters is a struct in which XYZmm field has list of points
% --should be output of database2clusters, which contains all fields
%
% Prints one row per coordinate in ... |
c0157b132053f69ff6870d1b55bed11dccbf461e37bec81cad32aced62d1d62c | MATLAB | 1,253 | 29 | function [pvec, pstruct] = tapas_hgf_ar1_binary_mab_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General... |
3a289614071158ca93e7f1ed3796e2b8a8ec4655d1628bbe7d886711fa2d41f2 | MATLAB | 1,254 | 29 | function [pvec, pstruct] = tapas_hgf_ar1_binary_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU Genera... |
ac6ef49803c31b76cd115887b82b6b61da0942c5dc326493dec3287e951c6714 | MATLAB | 1,254 | 41 | function [dataStructure]=alignRecording(ePhys,oPhys)
% align ePhys and oPhys data acquired with different sampling rate and with
% a time lag (one start after the other). Use the function alignSyncTTL
% [ePhys_cal,oPhys_cal]=alignRecording(ePhys,oPhys);
%
% INPUT: structure as follow
% ePhys.data / ePhys.ttl / ePhy... |
15cf2c3dcdba1b6490a55a42cb58c53a783c7b0d46327270cd4e701a14ca9be2 | MATLAB | 1,255 | 37 | function DataFixHeader( BASEdir )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Wrote by David André Barrière 09th September 2022
% This function permit to fix header of corrected data for SPM running.
% Usage : set BASEdir variable with your current working directory
%%%%%%%%%%%%%%%%%%... |
31e42a990220725d3cda4349b64c8f3235709ae5515bc366e9d5c5c5b074944c | MATLAB | 1,255 | 40 | function [ Im ] = findBorders( I )
% FINDBORDERS Returns an binary image with the regions' boundaries of the input
% image I.
%
% FINDBORDERS returns a binary image with the regions' boundaries of the
% input image I. The input image I must be a binary image. The returned image
% Im takes the value 1 i... |
41cb5439a1751723f7cb35a821ed2e7f1d4c4743970da56967cc8619f4a75c79 | MATLAB | 1,255 | 35 | function [D, fX] = dsqrtm(X, H)
% Fréchet derivative of the matrix square root.
%
% function [D, fX] = dsqrtm(X, H)
%
% Computes the directional derivative (the Fréchet derivative) of sqrtm at
% X along H (square matrices).
%
% Thus, D = lim_(t -> 0) (sqrtm(X + tH) - sqrtm(X)) / t.
%
% The second output is fX = sqrtm(X... |
bbd5a25ba24a7db1ec6300cc3bce6f4128acbfeaaec051e5b012613576dbfcde | MATLAB | 1,255 | 31 | function tsv = ft_read_tsv(filename)
% FT_READ_TSV reads information from a tab-separated-values file and represents it as a MATLAB table
%
% Use as
% tsv = ft_read_tsv(filename)
%
% See also FT_WRITE_TSV, FT_READ_JSON, FT_WRITE_JSON, READTABLE, WRITETABLE, TDFREAD, TBLREAD
% Copyright (C) 2018-2024, Robert Oostenv... |
179c86e1aab38eafa0eedd4260a7385103f3e2e90d75303cba399448dac77b02 | MATLAB | 1,256 | 40 | function net = vl_simplenn_move(net, destination)
%VL_SIMPLENN_MOVE Move a SimpleNN network between CPU and GPU.
% NET = VL_SIMPLENN_MOVE(NET, 'gpu') moves the network to the
% current GPU device. NET = VL_SIMPLENN_MOVE(NET, 'cpu') moves the
% network to the CPU.
%
% See also: VL_SIMPLENN().
% Copyright (C) 2... |
2cbba6fdbbad5b58da9cb05c0e139abb8accb6c4a66581ce22dd6bd37af313bd | MATLAB | 1,256 | 40 | function affineTransformationMatrix = get_affine_matrix(this)
% Transforms geometry parameters into affine 4x4 matrix (T*R*Z*S)
% with T = Translation, R = Rotation, Z = Zooming (Scaling with Resolution)
% S = Shearing
% i.e. performing operations in the order from right to left, in particular
% rotation before tr... |
678f6b4e0ad6b5e8f09fc3cc100c22af2a6dd8a3241a523de1798ab7085a8b18 | MATLAB | 1,256 | 35 | % Run this script for the first time to retrieve necessary data
clc, clear, close all
filepath = fileparts(mfilename('fullpath'));
if ~exist(fullfile(filepath, 'output'), 'dir')
mkdir(fullfile(filepath, 'output'));
end
% Add path
addpath(genpath(filepath));
savepath;
% Download atlas data
fprintf('%s', '## Down... |
f15407a83fed648c5f6c3c5d6fa8d4e4a2b5a2d2301ae0bbfd1d4d409efab7c0 | MATLAB | 1,256 | 47 | function functs = tapas_get_functions_in_sub_dirs(parDir,getFullPath)
% Function returning the names of matlab functions in dir and subdirs.
%
% IN
% parDir default: pwd
% Starting here.
% getFullPath default: true
% Return full path to file (otherwise just function name).
%
% OUT
% functs
% Function... |
f93d13ad6369c78eed7ec85dfb88905fd239c5f455f37682c9b2d2bc21d66ad3 | MATLAB | 1,257 | 39 | function update_from_affine_matrix(this, ...
affineMatrix)
% Updates properties of MrAffineTransformation from affine 4x4 transformation
% matrix
%
% Y = MrAffineTransformation()
% Y.update_from_affine_matrix(affineMatrix)
%
% This is a method of class MrAffineTransformation.
%
% IN
%
% OUT
%
% EXAMPLE
% upda... |
0e1138c27c273caa8d0ea2bdc062de826c4ebbd5dee8a1a40119f3bafa4fc8f5 | MATLAB | 1,258 | 45 | %% get_set_r2s_NLLS(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be fid
%... |
22c62ed9c996956f2fa4e110571ca394cf13ed45bf487181d9b164bb61a483aa | MATLAB | 1,258 | 56 | % GNUPLOT
%
% [X,Y,Z1,Z2,Z3, Z4] = gnuplot (A)
%
% Create 3D mesh from program output (3 columns) gnuplot style
% The first column must be x-values repeated for each different y.
% The second column must be the y-values.
% The third must be the corresponding z value.
% It is assumed that each block is separated with a... |
6f585821ffdee4902bb35b7d33a6e7f8d7249904fbfe0797e7c0684b30b08661 | MATLAB | 1,258 | 39 | function [ld] = tapas_huge_logdet(A)
% Numerical stable calculation of log-determinant for positive-definite
% matrix.
%
% INPUT:
% A - Positive definite matrix.
%
% OUTPUT:
% ld - log(det(A))
%
% EXAMPLE:
% ld = TAPAS_HUGE_LOGDET(eye(3)) Calculate log-determinant of 3x3
% identity matrix.
%
% Author:... |
7031d729fe52ab1b87b95e756a70bc7e32cc84e316d301bf4d684e512bfa39a0 | MATLAB | 1,258 | 37 | function [neuronid,idthr] = find_core_cells(raster,nsur,p)
%
% [neuronid] = core_cells(raster)
%
% Detectes the core neurons of a given raster. A core neuron is defined as
% a neuron that participates on the raster more than expected by chance.
%
% INPUTS
%
% 'raster' is a N x T binary matrix, where raster(n,t)=1 if ne... |
7e16f831e4166d17211883937e5907397acb9615d916d68f1d94785348ee7f9a | MATLAB | 1,258 | 33 | function PrepareComplex(PathName, ui0) % by Julia Becker, 01/04/2020
%PREPARECOMPLEX Create necessary folders and files for complex experiments
if strcmp(ui0, 'Complex')
if ~exist(fullfile(PathName, 'region analysis_all'))
mkdir(fullfile(PathName, 'region analysis_all'));
end
if ~exist(fullfile(PathN... |
7e8fa477441be9e34bf65784a4a739eb64fcc45363bebf7ad43cc786ea829bc8 | MATLAB | 1,258 | 46 | function res = compute_bin_correlations(D_list, cfg)
% COMPUTE_BIN_CORRELATIONS Pearson correlations within myelin bins
res = struct();
for li = 1:numel(D_list)
D = D_list{li};
levelName = util.get_level_name(D, 'fit_models');
my = D.(cfg.col_myelin);
nb = cfg.myelin_num_bins;
edges = quantile(m... |
73a1196b9a6fca941c04f5c5514182f07ac785f038936d113c5489772f7daeec | MATLAB | 1,259 | 34 | %{
Copyright (c) 2024 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef VoltageWaveform < Waveform
methods
function this = VoltageWaveform(aChannel, aStart, aData, aSource, aSubsampleFactor)
this@Waveform(aChannel, aStart, aData, aSource, a... |
c500d94faf5c53c52e61a30c3dc2e9cf9728c0ef5e722441b585c2e8f916383d | MATLAB | 1,259 | 42 | function [y, prob] = tapas_unitsq_sgm_sim(r, infStates, p)
% Simulates observations from a Bernoulli distribution
%
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, w... |
19c58bb4b79c109fae2e5c116722df3dbb424fe783cc10fcbc2029ca3a10f284 | MATLAB | 1,260 | 35 | function addLayer(obj, name, block, inputs, outputs, params, varargin)
%ADDLAYER Adds a layer to a DagNN
% ADDLAYER(NAME, LAYER, INPUTS, OUTPUTS, PARAMS) adds the
% specified layer to the network. NAME is a string with the layer
% name, used as a unique indentifier. BLOCK is the object
% implementing the layer... |
17bf6ec81e359c9305604448dd2f451772e6591c515c056d7dbbf9ce0f7bb673 | MATLAB | 1,261 | 22 | %{
# stacks with beads for PSF computations
# stacks with beads for PSF computations$
date : date # acquisition date
stack_num : smallint # stack number for that day
---
who : varchar(63) # w... |
a84d77039119c416f07635d7273093dcd562c35603192d78f98922f5e6ecb1cd | MATLAB | 1,261 | 58 | function [outputArg1,outputArg2] = PlotSubjectPC_All(sn, TitleStr, lp_Color, hp_Color, bb_Color)
if ~exist('TitleStr','var')
% title parameter does not exist, so default it to something
TitleStr = ' ';
end
% --- RGB vector for grey
grey = 0.75*[1 1 1];
% --- means & standard deviation per azimuth for th... |
fb22ef4427a8441d5ca1b554bb4ca5e83dfbfb85093e830fa9d02190ada4ebd2 | MATLAB | 1,261 | 48 | function [DA_offercue, DA_sideon, DA_rewardcue, DA_reward, DA_optout] = ...
get_avgFl_allevents(datadir, ratlist, sensor, region)
basedir = fullfile(datadir, 'data-published/PhotometryDataAligned');
pdatadir = fullfile(basedir, strcat(sensor, '_', region));
rewards = [5, 10, 20, 40, 80];
DA_offercue = cell(1, len... |
2caa8b9221f45536b0d273b7fed2ffb4831b2605742fcf5db6ae8e0a2583d860 | MATLAB | 1,262 | 35 | function [NoiseSD]=getNoiseSD(data,mask_noise);
% [NoiseSD]=getNoiseSD(data,mask_noise);
% Calcualte the standard deviation of the noise using the noise covariance
% matrix
%
% USAGE:
% [NoiseSD]=getNoiseSD(data,mask_noise);
%
% INPUTS:
% in = image matrix (multi TEs)
% mask_noise = noise ... |
37ab2d0ae81530c70188fa01a1296c146fc2da7b220fe938458a12f7f4a36d88 | MATLAB | 1,263 | 39 | % logGauss - Generate neural response from log-Gaussian function
%
% Syntax
% R = logGauss(params, x)
%
% Input Arguments
% params – [mu, sigma]
% x – time-series of spatial frequencies
%
% Output Arguments
% R – neural response
function R = logGauss(params, x)
mu = params(1);
si... |
9976de25e5b33d1fccfdbd6d6c699d0996173fa6b196321929b400fcd395f439 | MATLAB | 1,263 | 49 | function [basfun,a,c] = weber_basis(tmesh,a,c,dim,phivec,varargin)
%WEBER_BASIS: log-scaled cosine basis function form. weber arxiv 2016 paper
%
%creates basis functions of form m_j(t) = cos( a log(t+c)-phi_j) )
%
%inputs
%tmesh: time vector
%a: basis fun param
%c: basis fun param
%dim: number of basis fun... |
600866d3d4fedd5fc8afe3567fc958ad5d8c3545961c2b4895785c78f0e4ee23 | MATLAB | 1,264 | 25 | function [p_rms, p_amp] = getRMSAndAmp(expInfoAll, rmsBins, ampBins, altSaveDirRMS, paramBC)
p_rms = nan(size(expInfoAll,1), numel(rmsBins)-1);
p_amp = nan(size(expInfoAll,1), numel(ampBins)-1);
for ff = 1:size(expInfoAll.subject,1)
% RMS
probeName = fieldnames(expInfoAll.dataSpikes{ff});... |
7ca0bef48db1737b24c4b4ee03e6676d06dfd1fb268876aba470fe51a21e2593 | MATLAB | 1,264 | 28 | function[xvalsgradient] = convert_to_gradient(xvalscm, yvalscm)
%% convert_to_gradient transforms track data (in cm) to values of the given non-thermotaxis gradient.
% Requires a gradient slope (value-per-cm), and the min/max values of the gradient.
% It assumes that the alignment spots used to orient that tracks ... |
f42e0b598302fc1d8edd894262ffb7710b71db3bab9d7b217868cde597609e53 | MATLAB | 1,264 | 24 | % Create .nii versions of FreeSurfer's hippocampal segmentation
for p=1:8
dir0 = sprintf('~/nsddata/freesurfer/subj%02d/mri',p);
unix_wrapper(sprintf('mri_convert %s/lh.hippoSfLabels-T1-HST1T2.v10.FSvoxelSpace.mgz %s/lh.hippoSfLabels-T1-HST1T2.v10.FSvoxelSpace.nii.gz',dir0,dir0));
unix_wrapper(sprintf('mri_conver... |
acb922a63ea956a0a5be05a32c1d438b5450ee0994da12bcc3f8f51baa4c8d19 | MATLAB | 1,265 | 30 | %% Constants
TIMEWINDOW_BIN = 50;
SessionTime_s = 30*60;
KERNEL_SIZE = 1000;
KERNEL_STD = 100;
REMOVE_START_SEC = 10; % remove the first 10 sec of the data
REMOVE_END_SEC = 10;
locPsec = 20; % location parsing sampling rate 1 : 1 loc per sec, 2 : 2 loc per sec, ...
basepath = 'D:\Data\Lobster\Lobster_Recording-200319-... |
d790c6ed1b1e8b2624a7779f347b97694a7d4b7e8edda03a2e9dc1f2e0748511 | MATLAB | 1,265 | 44 | function tapas_physio_strip_fields(opts)
% Strips fields of a structure into workspace variables of calling function
%
% tapas_physio_strip_fields(opts)
%
% IN
% opts structure variable
%
% OUT
%
% SIDE EFFECTS
% creates variables with field names in workspace of calling function
%
% EXAMPLE
% opts.myString ... |
0bac241f3a58209fce2da5ca77a09c2b637327dd031cb2952e8662b5f70a0108 | MATLAB | 1,266 | 35 | function minMax = findMinMaxNetMetTable(outputDataDateFolder, Params)
% Find the min and max values of each extracted feature in all recordings
% combined
spreadsheetFname = strcat('NetworkActivity_RecordingLevel', '.csv');
spreadsheetFpath = fullfile(outputDataDateFolder, spreadsheetFname);
recordingLevelTable = read... |
5028757181ed64a37ff06507248aa1806006f2d7f4dbf14172114cfe86871138 | MATLAB | 1,266 | 30 | function [lp,dlp] = priorMix(w,priors,x)
% Mixture of Univariate or Multivariate hyperparameter prior distributions.
% Compute log-likelihood and its derivative or draw a random sample.
% The prior distribution is parameterized as:
%
% p(x) = sum_i w_i p_i(x),
%
% w(bx1) is the mixture weight vector (nonnega... |
a0574cfa81d82034da1511129bf2b1334b6b506f6020aca28767e580d2e49dee | MATLAB | 1,266 | 37 | function omega = massANOVA(y,group)
%function omega = massANOVA(y,group)
%efficiently calculates omega squared values for mass univariate ANOVA
%
%inputs: group (design matrix) should be a cell array of nTrials*1 factors
% y (data) should be nTrials*nChannels*nTimepoints(*nFrequencies)
%
%outputs: omega ... |
afb1cdfab8e60cf021c8ae854cf7375c4173901958be24b172f3cffbc95e6d46 | MATLAB | 1,266 | 52 | function [fitresult, gof,output] = createFitSpline(input)
%CREATEFIT(input)
% Create a fit on 1D input
%
% Data for 'fitTest' fit:
% Y Output: input
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
% Auto-generated... |
b9412767a9b877c73167737b9acdcd3c6d951e3f98c3f0eb3a4f9268209bb644 | MATLAB | 1,266 | 44 | function R4F = decode_res4(chunk, varargin)
% DECODE_RES4 is a helper function for real-time processing of CTF data. This
% function is used to decode the content of the optional ctf_res4 chunck.
%
% See also DECODE_FIF, DECODE_NIFTI1, SAP2MATLAB
coordsys = ft_getopt(varargin, 'coordsys', 'dewar');
% decode the res... |
c51bcb02724601543533ac1eb61470b60f1eeaf3e050f04ee0a8cc226e4acf5f | MATLAB | 1,266 | 55 | function Pipeline_getWSData(params)
% This function returns wavesurfer data from whole cell patch experiments
% as a matrix file.
ExpInfoFn = getFileName(params, 'ExpInfo');
analysisDir = getAnalysisDir(params);
load(fullfile(analysisDir, ExpInfoFn));
if isempty(fn.ws)
disp('No Wavesurfer file found.... ... |
e6bc5c433cf8c19cf6833e5f2bd2f564e2aaff01f620cb404be679667ef93d11 | MATLAB | 1,266 | 28 | h%--------------------------------------------------------------------------
% writeElastixPointFile.m script is used generate elastix file of sparse point lists as input for transformix
%
%% Developed and maintained by Kannan Umadevi Venkataraju <kannanuv@cshl.edu>
%% do not distribute without permission.
%
% Usage
%... |
f502f034462cfc16d44e9b23bb9a45b89f8db746ba1a42f93f9859812348827a | MATLAB | 1,266 | 42 | function osp_updateListBox(gui)
%% osp_updateListBox
% This function updates the list box.
%
%
% USAGE:
% osp_updateListBox(gui);
%
% INPUT:
% gui = gui class containing all handles and the MRSCont
%
%
% AUTHORS:
% Dr. Helge Zoellner (Johns Hopkins University, 2020-01-1... |
4987628fefb71699407068999557a46de6ef6ae44b41638d8bd8a92507a76856 | MATLAB | 1,267 | 51 | % ------------------------------------------------
% Crossing data in multivariate space
% ------------------------------------------------
% make 2 vars with positive relationship
C = [1 .7; .7 1];
x = randn(100,2);
x2 = x * C;
% add another group with negative relationship
C2 = [1 -.7; -.7 1];
x2 = [x2; x * C2];
... |
4ce95470af6278eb899249ffdbf18f48c17b93b28bdb4025baff8d59f1e7ea77 | MATLAB | 1,267 | 48 | function [y, steps] = ML_kvsteps(x)
% Implements the Kalafut-Visscher step detection method, using the MEX
% wrapper of the C version.
%
% Usage:
% [y, steps] = ML_kvsteps(x)
%
% Inputs
% x - Input signal
%
% Outputs
% y - Estimated piecewise constant approximation to the input signal
% steps - Vect... |
f6192eac4fc50d289313ae525a240ec5515b750ee4300cf3fbabba05e12d1d9a | MATLAB | 1,268 | 37 | function phase_expansion = tapas_physio_get_fourier_expansion(phase, order)
% does a cosine/sine expansion of a given phase up to the specified order.
%
% USAGE:
% phase_expansion = tapas_physio_get_fourier_expansion(phase, order)
%
% INPUT
% phase
% order
%
% OUTPUT
% phase_expansion
%
% One expansion term is... |
326c37531c04ccb3dcf1763b6b4c7930ebee2575ceae409a657aefaeff8054f2 | MATLAB | 1,269 | 58 | function [ptheta] = tapas_sem_mixed_validate_ptheta(ptheta)
%% Make sute that the input is consistent.
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2017
%
if ~isfield(ptheta, 'x')
error('tapas:sem:mixed:ptheta', 'Design matrix ptheta.m is not specified');
end
if ~isfield(ptheta,... |
426f3041abc4fbce3f1173676379575ac6119272c0b074e19b5df81134a07488 | MATLAB | 1,269 | 71 |
% You can have as many Panels as you like in one Figure.
%
% (a) Create a figure with two uipanel objects.
% (b) Attach a panel to one of these.
% (c) Attach another - oh, wait!
%% (a)
% create the figure
clf
% create a couple of uipanels
set(gcf, 'units', 'normalized');
u1 = uipanel('units', 'normalized', 'posit... |
0e685a9a5a00c1bf2462aacb39acaaea1c06b33e8bb206c950099ab775df6571 | MATLAB | 1,270 | 34 | % checkPTB - Check if Psychtoolbox is installed
%
% Syntax
% checkPTB()
%
function checkPTB()
if ~exist('PsychtoolboxVersion', 'file')
error(['Psychtoolbox is not installed or not on the MATLAB path.\n' ...
'Please install it from http://psychtoolbox.org/download.']);
else
v = ... |
43781f67e3228311420e44fcfecbdb695cb702fbe3d3210a8c5f3088eeed5560 | MATLAB | 1,270 | 58 | function [outputArg1,outputArg2] = PlotSubjectPW_All(sn, TitleStr, lp_Color, hp_Color, bb_Color)
if ~exist('TitleStr','var')
% title parameter does not exist, so default it to something
TitleStr = ' ';
end
% --- RGB vector for grey
grey = 0.75*[1 1 1];
% --- %-wrong per azimuth for this subject
PW_lp =... |
5f30a7934fd0662fcb924e28ba308882be19e55ec1a603996a4021566e5f74e0 | MATLAB | 1,270 | 43 | function [ concat ] = nf_load_mats_struct( mats, target_var )
%[ concat ] = nf_load_mats_struct( mats, target_var)
% Load a cell array of mat files into a struct array
% will fill up missing fields with []
if ~iscell(mats) || isempty(mats)
error('Need call array with at least one file')
end
concat=[];
for i=1:... |
a06666df0b298e60fe60468b411279c863e1ff125a2046b27f2f219349984797 | MATLAB | 1,270 | 41 | function data = hlp_rewrite(data,varargin)
% Rewrite (replace) an input data structure into an output data structure.
% Output = hlp_rewrite(Input,Rules...)
%
% In:
% Input : some data structure to be rewritten
%
% Rules... : a comma-separated list of rewrite rules (oldval,newval,oldval,newval,oldval,newval, ...)
%... |
418a526c7bbf3ece991ebaa8fac054dbe42ad33f4cab62028191dbfe16181edf | MATLAB | 1,271 | 57 | %% images2mat.m
% combines a set of images to a giant 3D matrix
%
function [images, full_images] = images2mat(path_name, mask, args)
arguments
path_name (1,1) string
mask
args.channel (1,1) double = 3
args.subtract_median (1,1) logical = true
end
% find all *JPG images
allfiles = dir(fullfile(path_name,"*.JPG... |
72b32d2e8e752f4debce987befe231cecac10dd6bedc23432aa48298e9b19c17 | MATLAB | 1,271 | 53 | function [ output_args ] = PROMAX_MP_ASSEMBLY_DETECTION( RASTER_file )
%PROMAX_MP_ASSEMBLY_DETECTION( RASTER_file )
%
%
% === Jan Moelter, The University of Queensland, 2018 ===================
%
narginchk(1,1);
fprintf( 1 , [ '\n' ] );
timerVal = tic;
%% > PRINT FUNCTION-CALL
if( isdeployed )
printConsoleSec... |
a5b8413fcdcd08b06612ddf59369d27110d403f3aba85a01510590a0ee6af5e8 | MATLAB | 1,271 | 46 | function FCMap = WMSeedFC(FunDir,SeedDir,MaskDir,OutDir)
if nargin==3
OutDir=[];
end
[funhead fundata] = TMSReadNii(FunDir) ;
dim1 = funhead(1,1).dim(1); dim2=funhead(1,1).dim(2); dim3=funhead(1,1).dim(3);
shead = spm_vol(SeedDir) ;
if dim2~=shead.dim(2)
sdata=TMSreslice(FunDir,SeedDir,[],0) ;
s... |
0dbea846cf8a0c188b92597cf7eb07986ec485e99f21e2d0fe95958dac902bc2 | MATLAB | 1,272 | 28 | function [ens_seq,maxcor,tmpcor] = ens_raster_from_templates(tmplts,raster,ccthr)
% ens_raster = ens_raster_from_templates(tmplts,raster,ccthr)
%
% Generates an ensemble raster by template mastching of tmplts on the
% raster. If no template shows correlation higher than ccthr, then no
% ensemble is defined on that bin... |
300547e36c91f8060a8e132b46fa159216a8999fe229bbb6bad634fcf511730f | MATLAB | 1,272 | 35 | function [dip] = ft_datatype_dip(dip, varargin)
% FT_DATATYPE_DIP descripts the FieldTrip MATLAB structure for dip data
%
% The dip structure represents a dipole model that has been fitted to
% ERP or ERF data using a non-linear optimization approach. It is
% usually generated by the FT_DIPOLEFITTING function.
%
% FIX... |
7c398474bc5ce0d7a63d6078c21142a90085adb9b0ed7fb7e04e2197627f41f4 | MATLAB | 1,272 | 44 | function params = parseNameValuePairs(varargin)
% PARSENAMEVALUEPAIRS Parse name-value pair arguments into structure
%
% Syntax:
% params = parseNameValuePairs('name1', value1, 'name2', value2, ...)
%
% Description:
% Converts name-value pairs into a structure for easy access.
%
% Inputs:
% varargin - N... |
825d701269a9a6afaa07f3e5b1535d49188cff7b7e3761c63d159977094e820d | MATLAB | 1,273 | 36 | function spikeLatencies = getSpikeLatencyRelStim(allStimTimes, spikeTimesStimRemoved, searchWindowEnd)
%GETSPIKELATENCYRELSTIM Calculate time-to-first-spike latency relative to stimulation
% spikeLatencies = getSpikeLatencyRelStim(allStimTimes, spikeTimesStimRemoved, searchWindowEnd)
%
% INPUT:
% allStimTimes... |
b4b87d36ce30530ebc3b9221304b4fe245450570d0d5167d915759d554d83020 | MATLAB | 1,273 | 51 | % op_HadamardScans.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% out=op_addScans(in1,combMatrix);
%
% DESCRIPTION:
% Add or subtract two scans together.
%
% INPUTS:
% in = Spectrum (in matlab structure format)
% combMatrix = How to combine the spectra
%
% OUTPUTS:
% out = Result of adding input... |
334756ba98ce34ff058c0adf2d50730f9e0a743917dedd08ddd3d917142735da | MATLAB | 1,274 | 47 | function plot_fig4c(datadir)
% Plot average time to opt-out in mixed blocks for rats tested with catch
% probabilities of 0.15 and 0.25. N = 53 rats.
%
% INPUTS
% datadir: file path of data downloaded from Zenodo. Link to download can
% be found in README.
% Load wait time data of 53 rats
fpath = fullfile(datadir, 'd... |
727bb90e22d14c6deef0675b5dfd1aae4d00979041beec7c708874449e3582a0 | MATLAB | 1,274 | 42 | function ni = readFileNifti(fileName, volumesToLoad)
%
% Reads a NIFTI-1 file into a VISTASOFT nifti structure.
% See http://nifti.nimh.nih.gov/nifti-1/
%
% niftiImage = readFileNifti(fileName, [volumesToLoad=-1])
%
% fileName - path to a .nii or nii.gz file.
% VolumesToLoad - The optional second argu speci... |
804584c690086b8c344041a9f16e7dd45020d9effa34b43520b8892a0201ad1f | MATLAB | 1,274 | 54 | function [osp_out] = osp_detector(hsi_img,tgt_sig,mask,n_dim_ss)
%
%function [osp_out] = osp_detector(hsi_img,tgt_sig,mask,n_dim_ss)
%
% Orthogonal Subspace Projection Detector
%
% inputs:
% hsi_image - n_row x n_col x n_band hyperspectral image
% tgt_sig - target signature (n_band x 1 - column vector)
% mask - bina... |
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