sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
e6da9dc0b7a4967834fbdf03fa699691c03a975a3d4f05e4fb5a1269447905b2 | MATLAB | 1,230 | 36 | function hs = adaBoostApply( X, model, maxDepth, minWeight, nThreads )
% Apply learned boosted decision tree classifier.
%
% USAGE
% hs = adaBoostApply( X, model, [maxDepth], [minWeight], [nThreads] )
%
% INPUTS
% X - [NxF] N length F feature vectors
% model - learned boosted tree classifier
% maxDept... |
7b0cbf6d9d843ff5be4edd39c0cc184f02ccf0253f585256c880d083e1f0e9e3 | MATLAB | 1,231 | 40 | %%
addpath('../engines/bem_fmm_engine/');
FileName = fullfile(patient_path,'mesh_data', strcat(patno,'_wm.stl'));
TR = stlread(FileName);
P = TR.Points;
t = TR.ConnectivityList;
normals = meshnormals(P, t);
% % If you also want to display normal vectors, uncomment this block
% Ce... |
836909d7a37a70b5e6298887d85edc1b1f05d010d7f5a722370bbfe66a5ad963 | MATLAB | 1,231 | 51 | function LAN = resample_lan(LAN,newsrate)
% <*LAN)<]
% v.0.0.02
% RESAMPLE_LAN change the sample rate.
% see also RESAMPLE
%
% Pablo Billeke
%
% 11.07.2011 fix double/single and n+1 temporal points
% 24.06.2011
%%% cell
if iscell(LAN)
for lan = 1:length(LAN)
LAN{lan} = resample_lan(LAN... |
cffa012cad3efa38af9ae0e43fb93b6d8d8f0226c9b2583c684757f351852293 | MATLAB | 1,231 | 25 | for iArea = 1: 2
switch iArea
case 1
txt = 'lip';
case 2
txt = 'fef';
end
meanweights = [mean(all_accuracies{iArea,1}), mean(all_accuracies{iArea,2}), mean(all_accuracies{iArea,3}), mean(all_accuracies{iArea,4})];
figure('color',[1 1 1]);
% req... |
3d4191054ab9b02151708a33d4ef819b4f8a1dad7ae10291bedc1b2505241d4e | MATLAB | 1,232 | 37 | function t = permute(t,order)
%PERMUTE Rearrange the dimensions of a sparse tensor.
%
% B = PERMUTE(A,ORDER) rearranges the dimensions of A so that they
% are in the order specified by the vector ORDER. The result has the
% same values of A, but the order of the subscripts needed to access
% any particular elem... |
6b8d6c9cc7dc1cfe41e7c5d223f7ce3f77d811eba61ed07b37e380302581af25 | MATLAB | 1,232 | 40 | function [d] = dist(x)
% DIST computes the euclidian distance between the columns of the input matrix
%
% Use as
% [d] = dist(x)
% where x is for example Nx3 for points in 3D space.
%
% This function serves as a replacement for the dist function in the Neural
% Networks toolbox.
% Copyright (C) 2005, Robert Oostenv... |
9386936a141e3f7ab1a2c0737ae8ff762147d51e70a3f6976e88a7f48584dcdd | MATLAB | 1,232 | 41 | function makeFigureMenubarAndToolbarAPTAppropriateBang(fig)
% Delete buttons from the figure toolbar that are not wanted in APT, etc
% Want the zoom/pan buttons in the figure toolbar
addToolbarExplorationButtons(fig) ;
% N.B.: this sets fig.MenuBar to 'figure'
% Make sure the menubar and toolbar are showing
fig.M... |
bb2b62fc1184cce848960a5f4f73016d712f8a9eeefdbb538e558b25e3f108e0 | MATLAB | 1,232 | 46 | function G = grammatrix(M, x, vectors)
% Computes the Gram matrix of tangent vectors in the Manopt framework.
%
% function G = grammatrix(M, x, vectors)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the manifold M.
% vectors is a cell containing n tangent vectors at x.
%
% G i... |
bbf9408f87ae898d864321583efa30fbc2005e0ff3eaf26506a5eeb5b9240576 | MATLAB | 1,232 | 63 | clear
clc
%%% This script determines the total number of sessions
%%% and the total number of trials available per rat
%%% create a list of all rat with behavioral data
d=dir('data/Sessions_trials/*sessions.mat');
%%% total number of rats
nrats=length(d);
for iii=1:nrats
[iii nrats]
%%% rat name... |
08b5b545cdf9d96908b4d9bade6b090244befe120df3a20fc0f1709ca7d6b735 | MATLAB | 1,233 | 37 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% s0_patient_selection.m %%%
%%% Select a patient and record relevant information %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% clear all
re... |
0fab15fba306099a10eadcc643cd0591d4778d666fca74c112e32a12525b6f0e | MATLAB | 1,233 | 40 | %H7: SDO Proper
% Sort-of-redundant; Just rips from the sdoStruct
%_______________________________________
% Copyright (C) 2024 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 publ... |
421a4a2b4d399daa64d3d19ad968d44d4b6f3347b9c68406a6816e784dc1cff5 | MATLAB | 1,233 | 41 | function [tf,diffs] = issymmetric(X)
%ISSYMMETRIC Verify that a ktensor X is symmetric in all modes.
%
% TF = ISSYMMETRIC(X) returns true if X is exactly symmetric for every
% permutation.
%
% [TF,DIFFS] = ISSYMMETRIC(X) also returns the matrix of the norm of the
% differences between the normalized factor matr... |
6edc0ec4c174c67af0cf6bc30b149efaa5f013a851a6aca284b6b79f996cc57f | MATLAB | 1,233 | 27 | load('/Volumes/LNDG/Julian/Projects/StateSwitch/C_Paradigm/StateSwitch/stimuli_corrJQK.mat')
info.combs = allcomb([1,2],[1,2],[1,2],[1,2]);
info.WordCategories = {'NoAnimal', 'animal'; 'twoSyllable', 'oneSyllable'; 'uneven', 'even'; 'noH', 'H'}; % yes option is always right, no option left
rng(170821, 'twister');
inf... |
a1b32c207f3c1514d74cb8f5192ee710c3dc447cfd9ded614a3e7b1cbbf86db8 | MATLAB | 1,233 | 59 | function hh = logbar(edges,vals,width,colors,hax)
if nargin < 3,
width = .8;
end
edges = edges(:)';
nbins = numel(edges)-1;
sz = size(vals);
if ~any(sz==nbins),
error('vals should be ndata x nbins');
end
if ~ismatrix(vals),
error('vals must be 1- or 2-dimensional');
end
if sz(2) ~= nbins && sz(1) == nbins,
v... |
3e3a2131db25aa38de54149c7ea6b5c6a5462afe2bf4ebe6f3c46b9f21dfb7b1 | MATLAB | 1,234 | 54 | % Entropy: Returns entropy (in bits) of each column of 'X'
% by Will Dwinnell
%
% H = Entropy(X)
%
% H = row vector of calculated entropies (in bits)
% X = data to be analyzed
%
% Example: Measure sample entropy of observations of variables with
% 1, 2, 3 and 4 bits of entropy.
%
% Note: Estimated entropy ... |
4bb6b2999327c6ebc2319c22443f8efc1e216e01c5b31bcf3a55b1a0cdfc3c4e | MATLAB | 1,234 | 57 |
function sigmoidBounds()
x = [-6:(1/10):6];
function sigupper = sigupper(eta,x)
sigupper = exp(eta * x - fstar(eta));
end
function fstar = fstar(eta)
fstar = -eta * log(eta) - (1-eta) * log(1-eta);
end
function sig = sigmoid(x)
sig = exp(x) ./ (1 + exp(x));
end
function siglower = siglower(xi,x)
siglower ... |
63713f4ef22ff783d1b96a009059e269dfe9e48cfab5e2fc71e8c9c2492da3c3 | MATLAB | 1,234 | 52 | %% Student T Plot Demo
%
%%
%[X1,X2] = meshgrid(linspace(-5,5,100)',linspace(-5,5,100)');
% This file is from pmtk3.googlecode.com
[X1,X2] = meshgrid(linspace(-2,2,30)',linspace(-2,2,30)');
n = size(X1,1);
X = [X1(:) X2(:)];
%C = [1 .4; .4 1];
C = 0.5*eye(2);
df = 0.1;
figure;
model.mu = [0 0]; model.Sigma = C; mod... |
78fc592a258110a63fa8924452275318fdbeb505c0d16ed3cfb8e9ce9401a3e7 | MATLAB | 1,234 | 43 | function [input, output] = funargname(fname)
% FUNARGNAME returns the input and output arguments of the function
% by parsing the m-file
%
% Use as
% [input, output] = funargname(fname)
% where the input and output function arguments will be returned
% as cell-arrays containing strings.
fid = fopen(which(fname), '... |
0969a269d065f1e695a47cdb9f64ba83b729d4a488ae90aba29f141b250b8c03 | MATLAB | 1,235 | 29 | function [pointsline] = targetctr(P, t, Target)
% Outputs centerline for Target vs P, t in mm
%% Load shell
center = meshtricenter(P, t);
%% Find nearest faces
Rnumber = 8; % number of neighbor triangles
ineighborS = knnsearch(center, Target, 'k', Rnumber);
... |
bd0d6704d7c415596a64eb76c6fe5c192ff7dd9ebeb03160acd6d08f4f6572fe | MATLAB | 1,235 | 44 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
close all;
clear;
datafolder = '\results\HCP\datscan_learning\firstlevel';
d = dir(fullfile(datafolder,'learning','*.nii'));
for i = 1:length(d)
fprintf('.');
nii1 = single(niftiread(fullfile(datafolder,'learning',... |
fc6346fb277fa4b21b779c4acfdabf675055b0b2de7a0ab19497e2fd93fffb0e | MATLAB | 1,235 | 30 | classdef (Abstract) ShellToken
% apt.ShellToken - Abstract base class for shell command tokens
%
% This abstract class defines the interface for all types of tokens that
% can appear in shell commands. Concrete subclasses include:
% - apt.ShellLiteral: Plain string literals that need no translation
% - apt.... |
7c2b8603068e972dd3fa93f53ccded097f826a074108b2cd8065109aff227d0e | MATLAB | 1,236 | 43 | function [X, y] = mixGaussSample(varargin)
% Sample n samples from a mixture of multivariate gaussians
% all with the same dimensionality.
% [X,z] = mixGaussSample(model, N)
% or
% [X,z] = mixGaussSample(mu, Sigma, mixWeight, N)
% where
% mu(:,c) - a d-by-C matrix, with mu(:, c) = the mean of component c.
% Sig... |
91b33e7712d280f2b259299d5c3404c9b5544b9a970b33ae61622ce7b54ca89f | MATLAB | 1,236 | 49 | %% NVR baseline removal
% 2017 (edited 2018) by Felix Klotzsche
% 2024 update by Antonin Fourcade
function NVR_10_rmbase(cropstyle, mov_cond, path_data, baseline)
%% 1.Set Variables
%clc
%clear all
%1.1 Set different paths:
% input paths:
path_data_eeg = [path_data 'EEG/'];
path_in_eeg = [path_data_eeg '09_LPF/' mov_... |
9e7db3c7bd11f12128ec11ba9a2477aabeccf03a8eab4943993e61f92d47475f | MATLAB | 1,236 | 22 | function [FoundCurrentParentDir]=FindCurrentParentDir(CurrentParentDir)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
warning('I currently only have the default parent directories set up for a few folks, but you can add more options here when re-generating fixing lists')
FoundCurrentParentDir=[];
... |
cd5894a05c05ac7435d90fb5f66d3872db765f2df69546dca2a21230cbfb472c | MATLAB | 1,236 | 31 | function [rt] = isFeature(in)
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as pu... |
d19bfe2f07f6eec056348fd6aa4e0921baef4d7db4810e4686def04f32e6796f | MATLAB | 1,236 | 41 | function h = plotBarStackGroups(stackData, groupLabels, fignum)
%% Plot a set of stacked bars, but group them according to labels provided.
%%
%% Params:
%% stackData is a 3D matrix (i.e., stackData(i, j, k) => (Group, Stack, StackElement))
%% groupLabels is a CELL type (i.e., { 'a', 1 , 20, 'because' };)
%... |
49d188c49acae4c324885e28e9b5cd77d4456450309b31f3fb6c717c684375c3 | MATLAB | 1,237 | 52 | %% fnc_SelectInput: select the input indexes from a generic list
%
% Usage:
% index = fnc_SelectInput(pro, iset)
%
% Inputs:
% pro project structure
% iset cell array or array of inputs of the considered set, they can be selected
% by index (1,2,3 ...) or by na... |
843bf3f986ccc606e17a2a7d5a1713163e7144c20bad5e52304badee6237d5aa | MATLAB | 1,237 | 44 | function newdata = wlProc_calcPaddedBandpass(olddata, band, samprate)
% function newdata = wlProc_calcPaddedBandpass(olddata, band, samprate)
%
% This function wraps Matlab's "bandpass" function.
% Zero-padding is added on both sides of the data to give Matlab's filters
% time to stabilize. This is removed when the tr... |
d13fac66cdf305fdb2ad679810c72041b470644eb769a5061171b23bda9bb7da | MATLAB | 1,237 | 33 | function featureNamesNew=featureNamesNewFromOld(featureNamesOld, ...
scoreFeaturesOld, ...
scoreFeaturesNew)
% Figures out the feature names in the new feature lexicon, given the old
% feature names, the old scoreFeatures, a... |
39f25da009e0740b46a20ba71c0649db120395b567bd20ff8d7c8840b45b4718 | MATLAB | 1,238 | 38 | function rowNumber = selectMuscle_from9()
% Define the list of muscles
muscles = {
'Shoulder Protractor'
'Elbow Extensor'
'Biceps Brachii'
'Elbow Flexor'
'Elbow Flexor-Wrist Dorsiflexor'
'Wrist Dorsiflexor'
'Wrist Plantarflexor'
'Shoulder Retractor'
'Triceps Brach... |
3dba1028e2f616f8812624fffbf38b267c69216441df298a12325d7a2821c545 | MATLAB | 1,238 | 29 | % this script can be used to send yourself an email upon code completion
% WPI email will send it to trash, but gmail works just fine
function [] = misc3_send_email(toEmail, job_id)
% Your Gmail account information
yourEmail = 'guillermo.matlab@gmail.com'; % Your Gmail email address
yourPassword = 'zpfj zhjl mx... |
51bf1b4e7f433a56b8f4a78f7f76e6755eac684e26d705edf52bb16a88d3ab88 | MATLAB | 1,238 | 48 | function [x] = comp_distortion_oulu(xd,k);
%comp_distortion_oulu.m
%
%[x] = comp_distortion_oulu(xd,k)
%
%Compensates for radial and tangential distortion. Model From Oulu university.
%For more informatino about the distortion model, check the forward projection mapping function:
%project_points.m
%
%INPUT: xd: distor... |
781983bfdf25597da0f1bfd1bbc698b4ed758f21702d44365c562b3ff2d2baed | MATLAB | 1,238 | 39 | clc
clear
addpath('/home/lcao/software/NIfTI_20140122');
path='/media/lcao/DATA/T1_structure/cpp/T1data/noiseeval/';
subj=textread(strcat(path,'sub.txt'),'%s');
filetype='.nii.gz';
SNR_index=zeros(5,4);
% the sequence of SNR_index is CJV, CNR, SNR_GM, SNR_WM
for i = 1:length(subj)
bg=load_untouch_nii(strcat(pat... |
8203c767466aaade697baf41da9ce561f1601ab45c97d37a2cda4e5bd0613b6c | MATLAB | 1,238 | 49 |
%%
%Plot the basic elements of a linear model that accounts for neural firing
%as a function of the subject's choice and the cued action. From this
%dataset it appears that there is no significant tuning prior to the action
%cue suggesting some type of heirarchical neural architecture where the
%high-level de... |
985cd388ee12cd0e3d62f9e14c761e6daece1da733ed774c2dda706066f81edd | MATLAB | 1,238 | 53 | %% plot_pw
%
% Plot pairwise quantities on a colourmapped grid
%
% <matlab:open('plot_pw.m') code>
%
%% Syntax
%
% plot_pw(P,cm)
%
%% Arguments
%
% _input_
%
% P square matrix of pairwise quantities
% cm colour map (default: something soothing)
%
%% Description
%
% Plot pairwise quantities ... |
c45df3d47e305575b5ba92a164d03de2fde9839a829b0b678420118c4a884e48 | MATLAB | 1,238 | 41 |
%H4: (Normalized) Background SDO; Normalize from struct;
%_______________________________________
% Copyright (C) 2024 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 published ... |
edb62d3ce1bd456836bd44bc2472cdab1d7eb865e9dcf406ea379cc1081963b8 | MATLAB | 1,238 | 45 |
function WriteImageAndROIs(Image,FileNameAndDir,ROIs)
OS=computer;
if strcmp(OS,'MACI64')
dc='/';
else
dc='\';
end
if length(FileNameAndDir)>260
error('Shorten Name and or dir...')
end
[FileDir,FileName]=fileparts(FileNameAndDir);
FileExte... |
22a3957f213d2d23ebcb93a53fb9c9add742546823375a031e2fd859f38bddae | MATLAB | 1,239 | 45 | function [D] = diff3d( T, k )
% DIFF3D Calculates partial derivative along any dimension in a tomogram.
% INPUT:
% Is - Input tomogram
% k - 1: x-dimension, 2: y-dimension and otherwise: z-dimension
% OUTPUT:
% D - Output tomgram
%
% See also: angauss, eig3dkmex, diff2d
%
% AUTHOR: Anton... |
33d50eac3e6ebe0ba852a2f2d7e81f62f293e73f56b6f23ce6c4ae3aa2391aeb | MATLAB | 1,239 | 31 | function Val_all = optical_mask_crosstalk(led,pd,ds,net)
%%
mag = sum(ds)/ds(1);
[shifts_x,shifts_y] = led_positions_to_pd_positions(led.y,led.x,pd.y,pd.x,mag); % calculate ideal shifts
max_shift = (mag-1)*led.sz/2+mag*net.sz/2;
min_shift = (1-mag)*led.sz/2+mag*net.sz/2;
%%
% calculate_convrect_overlap p... |
7c2cd299c284261ecd165a24a08843853490b97c819d7d13b5fcec1c1833dea3 | MATLAB | 1,239 | 35 | function P2 = readpdf2(P0,xg0,yg0,xg1,yg1,xc,yc,th)
% Like the inverse of readpdf. Readpdf is "I have a PDF, let's place it
% somewhere in a new coord sys and read off the PDF in the new coord sys."
% This is "I have a PDF, let's place a new coord sys somewhere and read the
% existing PDF in the new coords."
%
% Mayb... |
93a587b6ba4783887d46cd07d7737ffde440ba8a33e868564a021fe579415da3 | MATLAB | 1,239 | 36 | function A=imresize3d(V,scale,tsize,ntype,npad)
% This function resizes a 3D image volume to new dimensions
% Vnew = imresize3d(V,scale,nsize,ntype,npad);
%
% inputs,
% V: The input image volume
% scale: scaling factor, when used set tsize to [];
% nsize: new dimensions, when used set scale to [];
% nty... |
1a75d2ca10e5910b3c69e1092a2fbc20e75ad924dec5c17f2649b5e33ed10b34 | MATLAB | 1,240 | 35 | function neu_boxes = load_neuron_posiNidx_to_neuron_box(neu_posi,neu_idx,neu_box_template)
%LOAD_NEURON_POSINIDX_TO_NEURON_BOX Summary of this function goes here
% neu_box_template is the one row of typical neuron_boxes, which contains
% the bounding box of target neuron.
nb=XBoxes(neu_box_template);
nb.total_vol=h... |
4c0eb41a7d1cea245a960e13c42a464cc132a541c40cb3581361a7508a6b0def | MATLAB | 1,240 | 31 | function PathList = y_GetRecursivePath(InPath,PathList)
% function OutPath = y_GetRecursivePath(InPath)
% Get Recursive Path List
% Input:
% InPath - The input path
% PathList - The previous Path List
% Output:
% PathList - The output Path List which has added the files in InPath
%------------... |
9ba1d20c38cbbd65203c5f888f38a2f02fc2a3a494e78354e505d01ddf897b6f | MATLAB | 1,240 | 41 | function wlPlot_plotReconParams(cfg, realtimes, realwave, ...
exttimes, extmag, extphase, figtitle, filelabel)
% function wlPlot_plotReconParams(cfg, realtimes, realwave, ...
% exttimes, extmag, extphase, figtitle, filelabel)
%
% This function plots a reconstructed time-series burst waveform against
% the real dat... |
1b1df148dd6b041204483fb0da8b086dc30c2262aca4dada3ce0608095b92d24 | MATLAB | 1,241 | 35 | rgb = [0.1 0.4 0.5; 0.7, 0.4, 0.7];
areatxt{1} = 'lip'; areatxt{2} = 'fef';
vx=-1:0.02:1;
figure('color',[1 1 1])
for iArea = 1: 2
switch iArea
case 1
areatoplot = 2; % plot FEF on top graph
otherwise
areatoplot = 1;
end
iCond = 1;
subplot(2,1,areatopl... |
f8c0f20252d6f7df48f46e9c9b6c74062739cb5e15abb475a67ade41438ec8d1 | MATLAB | 1,241 | 46 | function results = ReadYaml(filePath)
% Lloyd Russell 2017
% Simple little function to read simple little YAML format parameter files
% read file line by line
fid = fopen(filePath, 'r');
data = textscan(fid, '%s', 'delimiter', '\n', 'whitespace', '');
fclose(fid);
% remove empty lines
data = deblank(data{1}... |
3b16b7f23d8e596cd6f9cc4deae1030d0c4318c8ec0d619f831d8c584f36c6f7 | MATLAB | 1,242 | 43 | function [R,ti] = bigSbigT(H,dt,tstep,twin,conditions,filter,min_num_bins)
% AZ
% function [R,ti] = bigSbigT(H,dt,tstep,twin,conditions,filter,min_msec)
%
% Inputs
% H: spike counts [trials x time steps]
% dt: bin duration
% tstep: time step for calculation of the rates
% twin: time window fo... |
5169698628034d7f72e7451c6ee521b761c5c32a65c44e8688160528cd4f15b9 | MATLAB | 1,242 | 45 | function y = mean_nonan(x,dim)
%MEAN Average or mean value.
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector containing the mean value of
% each column. For N-D arrays, MEAN(X) is the mean value of the
% elements along the first non-singleton dimension of... |
55a20e844d8137f4a6e740bc86f77a1e0df5f84049c97fdcf9ce9c1f56aeb85e | MATLAB | 1,242 | 45 | function [D] = diff3d( T, k )
% DIFF3D Calculates partial derivative along any dimension in a tomogram.
% INPUT:
% Is - Input tomogram
% k - 1: x-dimension, 2: y-dimension and otherwise: z-dimension
% OUTPUT:
% D - Output tomgram
%
% See also: angauss, eig3dkmex, diff2d
%
% AUTHOR: Anton... |
f8bb13e1581e4977ab3d9ea95ce91aacd265cc53215934ebee71932b476c5fd6 | MATLAB | 1,242 | 39 | function [fixDot, fixFrame] = makeFixations(display)
% Generates new dot fixation; called in 'showScanStimulus'
%7 = green; 6 = red;
% pixelsPerDegree = 1/d.pixelSize;
pixelsPerCm = 1/display.pixelSize;
degPerCm = atan(1/display.distance)*180/pi;
pixelsPerDegree = pixelsPerCm/degPerCm;
% FIXATION
% make frame rect
r... |
0e58c033b824d88785fdaf5177e7cfbc1acef48f6d359571339a00734c14a5a2 | MATLAB | 1,243 | 37 | function [Iall,Icombo] = load_and_combine_multiplexed_channels(parentfolder,fov,fnames,refch)
%Loads multiple channels of the same image, e.g. from multiplexed data.
%Assumes all are the same width, height, and z-stack length
%fnames = list of filenames to load
%Iref = name of reference channel. If provided, will s... |
0f830631ec583a38299e78afee02f6e8799653e1fab0fa1567807f43387b5f38 | MATLAB | 1,243 | 37 | % Make something similar to figure 3.5 of Rasmussen and Williams book
% based on demo_laplace_2d from the GPML toolkit
%PMTKauthor Carl Rasmussen
%PMTKmodified Kevin Murphy
% make data
n1=80; n2=40;
S1 = eye(2); S2 = [1 0.95; 0.95 1];
m1 = [0.75; 0]; m2 = [-0.75; 0];
randn('seed',17);
x1 = ... |
27d13f2a87090461f681d9d4beeedaabde296eb4f5b60f1ffb44a0ef5c9e030a | MATLAB | 1,243 | 29 | function res = changeCellRowNum(cellData)
% Decription: convert a*1 cell with elements of b*n matrix to b*1 cell with elements of a*n matrix
% Notice: cellData will be reshape into column vector before converting.
% Input:
% cellData: a A*1 or 1*A cell vector with elements of an B*N numeric matr... |
6b126c3ed03accca2fa2dc3c254f09f563db3488b964109e1e0f44e9e20e40d7 | MATLAB | 1,243 | 38 | function [CenterOfMass] = y_CenterOfMass(AtlasFile)
% Extract Center of mass.
% Input:
% AtlasFile - the Atlas File
% Output:
% CenterOfMass - the Altals region table
%___________________________________________________________________________
% Written by YAN Chao-Gan 120917.
% The Nathan Kline Institute for Psyc... |
86f59d955330847e26b9bfe41f82901a178c9d097bb9531ce7eb7cb70946a3b4 | MATLAB | 1,243 | 25 | function [azi,ele]=nav2sph(azi,ele)
%NAV2SPH Coordinate Transform.
% [azi,ele] = nav2sph(azi,ele) vonverts navigational coordinates to
% spherical coordinates.
%
% Input:
% azi ... azimuth (-180 <= azi <= 180)
% ele ... elevation (-90 <= ele <= 90)
%
% Output:
% azi ... azimuth (0 <= azi < 360)
% ... |
a36de5fa4ba61bc80c83d201c6430ddd31c3b2348ef9f243687455728c6dc78e | MATLAB | 1,243 | 49 | function [g,N] = GPA(f, sigmar, W, eps, flag)
% Gaussian Bilateral filter:
% [g,Ng] = GPA(f, sigmar, sigmas, eps, 'Gauss')
% f : input image
% sigmar : width of range Gaussian
% sigmas : width of spatial Gaussian
% eps : kernel approximation accuracy
% g : output image
%... |
1deaa5ad9b865ce7e843ce88ebec621fd861a47c58e4f1092377fbab2a3b2d53 | MATLAB | 1,244 | 56 | function fatal = checkSortedSerial(allfiles, neurons, early_exit)
fatal = false;
load([allfiles.folder filesep allfiles.name],'-mat','crabsort_obj')
self = crabsort_obj;
% check if the entire file is ignored
if ~isempty(self.ignore_section) && ~isempty(self.ignore_section.ons)
if self.ignore_section.ons(1) == 1 & ... |
795b7cce3306b5637c3fa8b47c3a6ddc125daef67893153c9885078889c7547b | MATLAB | 1,244 | 57 | function stre = ls_lan(e,e2)
% v0.3
% P Billeke
% TAREA: HACERLO GEENRUICO PARA WINDOWS TAMBIEN
try
if nargin == 0 || isempty(e)
stre = ls;
else
stre = ls(e);
if nargin<2
e2=[];
end
end
catch
stre = [];
return
end
stre(isspace(stre)) = ' ';
nss=1;
while ~isempty(stre)
... |
61efa7ae0d6dc71f3be8f68e0f8ece9841643633065ec26c792a4eeb8871a768 | MATLAB | 1,245 | 31 | function [rt] = isDataCollection(src)
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public Licen... |
d9a72f0361dbb9ae32f999ed19a26c496800b1a9a524e2031c09cebb27d1afd2 | MATLAB | 1,245 | 25 | %% Hjorth parameters
% Hjorth Activity 活动性：衡量信号波幅的偏离程度，是时间函数的方差var
% Hjorth Mobility 移动性：衡量坡度的变化，为信号一阶导数方差的平方根 除以 信号方差的平方根
% Hjorth Complexity 复杂性：衡量一个振幅上有多少个标准的坡
% X: single channel EEG signal (either a row vector or a column vector)
% See also:
% feat_HjorthActivity, feat_HjorthMobility
%% Reference
% [1... |
32bb26cde0133381bbd87c38e2ffc4dbbab92e9890b26b08cf3f1b9fbe69d682 | MATLAB | 1,246 | 34 | % SPIKE_COUNTS converts timeStamps into logical time-indexed spikes
% returns makes matrix of ones and zeros
% rows are trials
% columns are times
% spikeCounts.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is part of JPSTH Toolbox.
%
... |
dba7558fcedcc1699cf30ce30bd062eaa5f28bc5e839fc4d428a553c84de5341 | MATLAB | 1,246 | 18 | function [x,fval,exitflag,output,lambda,grad,hessian] = IPGenerateCode(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
opt... |
08e80d21bc6e85f994f92f4150521f6a77ab0b767422686027274db2c2a8283f | MATLAB | 1,247 | 43 |
function p = plotCVgrid(params, mu, bestParams, params1, params2)
% Plot Cross validation results in 2D
% This file is from pmtk3.googlecode.com
if nargin < 4 || isempty(params1)
params1 = unique(params(:,1));
params2 = unique(params(:,2));
end
sz = nunique(params);
nrows = sz(1);
ncols = sz(2);
X = reshape(pa... |
17a7bb042e30663bd36e5c37213eac0d70ad0ebd63e8e1947c0fe36e930e636f | MATLAB | 1,247 | 40 | function structcheckfldspresent(s0,s1,varargin)
% Check for equality among fields present in (possibly-nested) structs
%
% Every field is compared (recursively on structs) with isequaln.
[pathstr,pathexceptions,assertmsg] = myparse(varargin,...
'pathstr','',... % structure 'path' to s0,s1
'pathexceptions',cell(0,... |
35692cf773a3d1f2b6a9a757ec0f05b3e575d90ede2f28e5b220da3a1da8a102 | MATLAB | 1,247 | 39 | function [ptchs,ptchGrp] = createPatches(x,y,offset,c,FaceAlpha, base)
%createPatches.m
% This file will create a bar plot with the option for changing the
% FaceAlpha property. It is meant to be able to recreate the functionality
% of bar plots in versions prior to 2014b. It will create the rectangular
% patches with ... |
81a010c53f1f46643e93bae8aeed2451f1e82410fb28221ffb8166c524817c8c | MATLAB | 1,247 | 56 | function [XQ, params] = discretizePMTK(X, K, params)
% Quantize scalar continuous variables
% This is similat to quantizePMTK, except we always
% use uniform quantization. Also, we store the values
% used at 'training' time, and use the same values at 'test' time
% So a typical usage is
%
% [XQtrain, params] = discreti... |
c048ba844239dbdc755f547e0071754c50b91f07039b55d1162e8a643876012d | MATLAB | 1,247 | 46 | function affine_tform = findAffineModel(key1, key2,doFullAffine)
if nargin==2
loadParameters;
doFullAffine=params.AFFINE_FULL;
end
num_samples = size(key1,1);
%Put the coordinates into homogenous coords (appending the 1)
x1 = [key1, ones(num_samples,1)];
%Format the data into a matrix that we will take the ... |
c58f6d1946770deff95f5cafe6cfc172993220f03a8566d2ff16089d89a1672c | MATLAB | 1,247 | 45 | function [thresh, CC] = my_threshold_PET(vessels_PET,voxs_thresh)
% VESSELS ENANCHMENT PET
%load(fullfile(output_path, 'Temp', 'vessels_PET.mat'))
thresh = 0.99;
mask = vessels_PET > thresh;
CC = bwconncomp(mask, 26);
% while CC.NumObjects < 2
% thresh = thresh - 0.01;
% mask = vessels_PET > thres... |
20639cafe4088e53a0a0434ee1a45812c80c5322cd8646a9e2496dc79ad71df8 | MATLAB | 1,248 | 54 | function RR = lan_tfmatrix(LAN, RT, chan, lag)
% args
% * lag in miliseconds
if nargin < 2
RR = [];
return;
end
if nargin < 3
chan = 1:LAN.nbchan;
end
if nargin < 4
lag = 200;
end
lag = ceil(lag*LAN.srate/1000); % lag ms -> points
if iscell(RT)
len = length(RT);
else
len = 1;
end
RR = cell(len,... |
495b52c0e2ed89a72d47b8e52e4d1c16f96c5aff7ad055f02f2370e4d3531e13 | MATLAB | 1,248 | 68 | function [T tipo v ] = is_lan(LAN,base)
% <*LAN)<]
% v.0.0.4
% 22.10.2012
% 16.05.2012
% 20.03.2012
% 29.07.2011
T = false;
tipo = '';
v = '';
if nargin==1
base = true;
end
if ischar(LAN)&&base
try
LAN = evalin('base',LAN);
catch
ret... |
bb753cdb0f272a65fb7d531653e9b26ab90f391067f29491310a9a8da3c06434 | MATLAB | 1,248 | 51 | % HIFDE_SPDIAG_SV_H Dispatch for HIFDE_SPDIAG with DINV = 1 and F.SYMM = 'H'.
function D = hifde_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 act... |
f249cafcaf9b85ef3912867f8d50a6bad12a1d1eaea35313ae24c6d5243a606e | MATLAB | 1,248 | 46 | function data = h5readgroup(filepath, group)
%H5READGROUP Reads a group into a structure containing all the data in the group.
% Usage:
% data = h5readgroup(filepath, group)
%
% Args:
% filepath: path to the HDF5 file
% group: name or path to the group
%
%
%
% See also: h5read, h5save, h5att2struct
if nargin ... |
9048a95edaec1f0999e821d0dbd5525f04e1bedfc36de4566ec49e916a0d6273 | MATLAB | 1,249 | 39 | function V = mttkrp(X,U,n)
%MTTKRP Matricized tensor times Khatri-Rao product for ttensor.
%
% V = MTTKRP(X,U,n) efficiently calculates the matrix product of the
% n-mode matricization of X with the Khatri-Rao product of all
% entries in U, a cell array of matrices, except the nth. How to
% most efficiently do... |
df4abb8f91369f4f07824e9274dc361e1e3c8cf5fa7c5ba943bd0942800caabd | MATLAB | 1,249 | 51 | % HIFDE_SPDIAG_MV_H Dispatch for HIFDE_SPDIAG with DINV = 0 and F.SYMM = 'H'.
function D = hifde_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 act... |
f6072f93e99832210338d1f7cc547f51026c526f35d6654055ceca1f7e1c5078 | MATLAB | 1,249 | 53 | if ~exist('color'),
color = lines(1);
end
if max(im(:)) > 1,
color = color*255;
end
npts = length(xline);
if ndims(im) < 3,
im = repmat(im,[1,1,3]);
end
[nr,nc,three] = size(im);
im = mat2cell(im,nr,nc,ones(1,3));
for i = 1:npts-1,
dxline = xline(i+1) - xline(i);
dyline = yline(i+1) - yline(i);
m = d... |
005a58c102a346fcb6671c4c2885d5fb45c61853b83de9e07086abf086d55976 | MATLAB | 1,250 | 44 | function [pZ, ll] = mixModelInferLatent(model, X)
%% Compute pZ(i, k) = p( Z = k | X(i, :), model)
% ll(i) = log p(X(i, :) | model)
%%
% This file is from pmtk3.googlecode.com
nmix = model.nmix;
[n, d] = size(X);
logMix = log(rowvec(model.mixWeight));
logPz = zeros(n, nmix);
switch lower(model.type)
cas... |
9a5b535df239a91866a2ba352b055bd64817c9bd722fd50096052490e1ec8a47 | MATLAB | 1,250 | 38 | function [edims, sdims] = ttm_me_partition(U, esz, n)
%TTM_ME_PARTITION Finds best order for ttm_me.
%
% [EDIMS, SDIMS] = TTM_ME_PARTITION(U, ESZ, N) finds the best order for
% memory efficient ttm. ESZ specifies the number of dimensions that
% are to be handled elementwise. U is the cell array of matrices.
% ... |
d03143520306a1fbfdb5785cace8b9b00bf86b9c5418af447c6a6058ab42bdee | MATLAB | 1,250 | 31 | function dspace_main_folder = getDspaceRootFolder()
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero Genera... |
0795ab5300c0ae445347857a4c77acca6e703d64c06886c0c1989b5ff9e3cd2f | MATLAB | 1,252 | 51 | function pmlCopyAndRenameFigsByNumber
%% Copy every pdf figure in the book naming it e.g. fig11.8b.pdf
%
% Requirements:
%
% (1) The correct path to the book must be in config-local.txt
% (2) All chapters must be included directly in pml.tex, (just
% copy pmlcore.tex right into pml.tex)
% (3) The figure index must ... |
0bb0ffa518fb8a7a0ed236a3bf4188db5f84d51cf32697eefeff8d0828261718 | MATLAB | 1,252 | 13 | function Auto_ScaleBar(ImageHeight,ImageWidth,PixelSize,ScaleBar_Size,ScaleBar_Location,ScaleBar_LineWitdh,ScaleBar_LineColor,BufferRatio_X,BufferRatio_Y)
if strcmp(ScaleBar_Location,'BL')
plot([ImageWidth*BufferRatio_X,ImageWidth*BufferRatio_X+ScaleBar_Size/PixelSize], [ImageHeight-BufferRatio_Y*ImageHeig... |
c9194e4a38710336723395480fb4c93a5f3e51886ed31ba9d7c706f2fb7845d4 | MATLAB | 1,252 | 39 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef Annotation < EventTag
%ANNOTATION tag that correspond to events listed in AxIS's play bar
properties(GetAccess = public, SetAccess = private)
NoteText;
end
methods
... |
fb5d46a4d129fbf86da2bf9f22e891a30cfbd9e53c44fbbcc224ac2616d2ab17 | MATLAB | 1,252 | 45 | % test_kroncovdiag
%
% Short script for illustrating kroncovdiag, which computes the diagonal of
% a matrix after left and right multiplying by a kronecker matrix B
%
% In practice, the function kroncovdiag.m is useful computing marginal
% variance of regression coefficients by computing the diagonal of the
% matrix B*... |
0ccf09e5bf8e36f8d878c2126f40e176255bc0ea50a9477696e0bd5c5512956b | MATLAB | 1,253 | 36 | function [cope,varcope,tstats] = run_glm( data, design_matrix, contrasts )
%%function [tstat, thresh] = run_glm( data, contrasts )
%
%
% Preallocate arrays
cope = zeros(size(contrasts,1),size(data,2));
varcope = zeros(size(contrasts,1),size(data,2));
tstats = zeros(size(contrasts,1),size(data,2));
% reject bad_trials... |
35ad5290276c1d0308578350cbc5b436619e85adbaf5d98a2f85e6ae4073c34f | MATLAB | 1,253 | 49 | function t = parseConfigYaml(filename)
% t = parseConfigYaml(filename)
% Parse a configuration yaml.
s = yaml.ReadYaml(filename);
t = lclParse(s);
function tagg = lclParse(s,prefix)
if nargin < 2,
prefix = '';
end
vallen = 9;
fns = fieldnames(s);
tagg = [];
for f=fns(:)',f=f{1}; %#ok<FXSET>
val = s.(f);
isLe... |
4a960e1cc4d94c74738e1c010850338237e0ef0bc47d114446e0a48701748b66 | MATLAB | 1,253 | 31 | function [F, J] = calcGaussianSurrActivationAmplitude(params, spftheta)
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
spff = spftheta(:, 1); %standardize input
thori = spftheta(:, 2); %standardize input
g... |
6969398c80267bc10dd7bf1e778496c32a238770d131d8b6a1fbe4bb1ec81f0c | MATLAB | 1,253 | 38 | %% Temporal Consistency Analysis
% the script follows the anaylsis steps as described in
% []...
%% 1. Load files and flatten images to 2d matrices
% accepted formats are nii and nii.gz
% normally, preprocessing should include motion correction,
% temporal highpass filtering and possibly spatial smoothin... |
956e9687eb22b8d2f4e6dc1553b5272640745cd7175967ad7cb58bc172a17dc8 | MATLAB | 1,253 | 39 | function X = tendiag(v,sz)
%TENDIAG Creates a tensor with v on the diagonal.
%
% TENDIAG(V) creates a tensor with N dimensions, each of size N, where N
% is the number of elements of V. The elements of V are placed on the
% superdiagonal.
%
% TENDIAG(V,SZ) is the same as above but creates a tensor of size SZ. I... |
a792dacaea1c160f302b96703486d9bd011639b0e66050b5c2908d73caf18511 | MATLAB | 1,253 | 51 | function logp = gaussLogprobMissingData(arg1, arg2, arg3)
% Same as gaussLogprob, but supports missing data, represented as NaN
% X is N*D
% L = gaussLogprobMissingData(mu, Sigma, X)
% L = gaussLogprobMissingData(model, X)
% Test example
%{
N = 5; D = 3;
X = randn(N,D);
M = rand(N,D)>0.5;
X(M) = NaN;
mu = zeros(D,1); ... |
0e2e9d84a6a8737d7e5291efe0017a5e9670730034f52d08bb267270d869b423 | MATLAB | 1,254 | 44 | function B = nonmaxsup( I, M, Vx, Vy, Vz )
% NONMAXSUP Ridge centreline detection by non-maximum suppresion criteria
% INPUT:
% I: Input tomogram, input data must be single or double
% M: Binary (logical format) mask for improve the speed
% Vi: The i coordinate of the major eigenvector
% OUTP... |
4aeca70402726e9865b68a210ecdf5abedce6b9dac7a5ba392fa35a18b83e6b3 | MATLAB | 1,254 | 54 | %% Demonstrate inference in undirected markov chain
% Based on http://www.cs.ubc.ca/~schmidtm/Software/UGM/chain.html
% This file is from pmtk3.googlecode.com
%% Setup model
nNodes = 60;
adj = chainAdjMatrix(nNodes);
nStates = 7*ones(1,nNodes);
initial = [.3 .6 .1 0 0 0 0];
nodePot = zeros(nNodes,nStates);
nodePot(... |
df1f5c918c211c69658bbba77354333fb702fcf6a78d949c140b2c8b71b5a983 | MATLAB | 1,254 | 43 | function h = WattsStrogatz(N, K, beta, varargin)
% H = WattsStrogatz(N,K,beta) returns a Watts-Strogatz model graph with N
% nodes, N*K edges, mean node degree 2*K, and rewiring probability beta.
%
% beta = 0 is a ring lattice, and beta = 1 is a random graph.
%
% Adapated from
% https://www.mathworks.com/help/matlab/ma... |
512becd8ffbb4422b1e08ea3933098be2497215a7d6a4e1f3aff955abdf39015 | MATLAB | 1,255 | 41 | function a = elemfun(a,fun)
%ELEMFUN Manipulate the nonzero elements of a sparse tensor.
%
% X = ELEMFUN(X,@FUN) modifies the elements of X according to the
% function @FUN which should take and array and output an equally
% sized array.
%
% Examples
% X = sptenrand([10,10,10],10);
% X = elemfun(X,@sqrt) %<... |
0f43e6fdd9348570afbc1e734bba5b9c18cab02a435d6b6068fe8af82bf7259c | MATLAB | 1,256 | 43 | function [pr_process, act_contribution] = CBIG_ComputePrProcessGivenAct(act, beta, threshold)
% [pr_process, act_contribution] = CBIG_ComputePrProcessGivenAct(act, beta, threshold)
%
% act = 1 x 18715
% beta = # processes (K) x 18715
%
% Written by B.T.Thomas Yeo and CBIG under MIT license: https://github.com/Thomas... |
16ba709cb9357aedd823c29045d40ec79b9a314b5bc0f3f0334d6726536c8b4f | MATLAB | 1,256 | 37 | function [TFmega, stateMap] = tabularFactorToMegaNode(TF, newId)
%% Construct a mega node from a tabularFactor
% by taking the cartesian product of the state spaces of the participating
% variables. The new domain of TFmega is the single value newId.
%
% The new states correspond to the linear indexing of TF.T.
%
% Y... |
6148ee1c791e2e293cdb04d58a06df226a7fc89f49bdf59f0601ed8eb0ba175d | MATLAB | 1,256 | 37 | %% pxTools_getSdoFromJointArr;
%// Resampling Method to quickly convert p(x1|x0) into p([x1-x0]|x0) * p(x0);
%
% NOTE: Due to differences in sampling smoothing, the extracted 'sdoMat'
% will not exactly resemble the spike-triggered sdo extracted with
% 'computeSDO.m', but will grossly approximate it.
% Copyr... |
a8bc4b4a35ef3024b35fd0e17679ef280578ea74894dc6cdc398670b9a62f45a | MATLAB | 1,256 | 53 | clear all
close all
addpath(genpath('/scratch/work/eglerean/isctest/external'))
iscfolder={
'ISCout1'
'ISCout2'
};
option={
'decoder_24HMP-8Phys-Spike_HPF_TRw25_step-' %2_subjects-1.nii'
'decoder_24HMP-8Phys-Spike-4GSR_HPF_TRw25_step-' %2_subjects-1.nii'
};
steps=[1 2 4];
perc=[1];
for c=1:2
iscdata=iscfolder{... |
a8f29b424fd485252e918a8cbdc117fef6a4d65dd32146d97436f7ae383bb9a9 | MATLAB | 1,256 | 42 | function [ handlers ] = define_shared_key_handlers()
%
%
%
%<PRE>
% This file is part of dspace-GUI.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% dspace-GUI is licenced under a custom license (see LICENSE file).
%
% This program is distributed in the ho... |
b08789cf06a8a8dfcffeb88a2338d55b975814293683b605e0b88fffe2106356 | MATLAB | 1,256 | 36 | function [ax,rh,ph] = plot_arena_circle(ax,simParam,plotArgs,arena_outside_patch_args)
if (nargin < 1) || isempty(ax)
figure;
ax = axes;
end
if (nargin < 3) || isempty(plotArgs)
plotArgs = {};
end
if (nargin < 4) || isempty(arena_outside_patch_args)
arena_outside_patc... |
ce459c4c2a6fb957d8c4ad73050f6a0e6b403dff34bdb2d2bef12adce303006a | MATLAB | 1,256 | 33 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Function description to go here
%%%%%%%%%%%%%%%%%%%%
function [affine_tform,keyM_total_transformed] = getGlobalAffineFromCorrespondences(keyM_total,keyF_total)
%First we do do a global affine transform on the data and keypoints before
%doing the fine-resolution non-rigid wa... |
d27ddda7a0e57981132d65b15d55a763dd8b987683053ab9fc0b9fd1d78cf509 | MATLAB | 1,256 | 37 | function [v,th]=get_adaptive_threshold(data,frame,overlap,h_frame,h_overlap,type,param,input)
% data: single channel raw data.
% frame: window length for rectangular window, or pre-defined window.
% overlap: overlaping samples when calculating the variance.
% h_frame: Number of adaptive frames when... |
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