sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
258ce05e066318f3d7d946ebb67e7dbbd72601163581fc23146c2cf28b0b9ba0 | MATLAB | 813 | 27 | classdef NWBContainer < types.hdmf_common.Container & types.untyped.GroupClass
% NWBCONTAINER An abstract data type for a generic container storing collections of data and metadata. Base type for all data and metadata containers.
methods
function obj = NWBContainer(varargin)
% NWBCONTAINER Constructor fo... |
795d397dd85da1aa1498ba0135a2b7bb122032d0f8b65f6491643383e63ce90b | MATLAB | 813 | 28 | function [doog_filters, texton_data] = cluster_learning_create_image_filters;
% create pair data
angle_step = 15;
filter_size = 5;
sigma = 1.5;
r = 0.25;
% create DOOG filters
num_angles=180/angle_step;
doog_filters = zeros(filter_size, filter_size, num_angles);
for (theta=0:angle_step:180-angle_step)
... |
dcefd848abbdae53f683fd0b8bf3cf9e8fe2c2a52ed56b2bed5d98dd3c56034b | MATLAB | 813 | 35 | function [goodCycles, goodCS, z] = t2t_csNOcs_B(csTimes, cycleMat_cs, z, window)
%% Find Good Cycles/Trials
% Condition 1
z.csWindow_good = (z.sr_e * window(1)):(z.sr_e * window(2));
conds(:,1) = sum(cycleMat_cs(:,z.csWindow_good),2);
conds(:,1) = conds(:,1) == 1;
% Condition 2
z.csWindow_bad = 1:min(z.csWindow_go... |
1d6d1b8749b03e9b7670cab98c98d49bdae803deacc0202c56de879879a8db04 | MATLAB | 814 | 22 | function [deconv_options] = ml_cai_fixerupper_ms_deconvolve_cnmfe_to_neuron_hdf5(outputFilename, ms, deconv_options_0)
numNeurons = ms.numNeurons;
numTimeSamples = size(ms.FiltTraces,1);
% The one found after deconvolving, not the one already found
% since we need it to make the found spike series
filtTraceMatrix = n... |
3d93b2a6378e32a414cc2dbdf64a7634e52e7b9900fa43ba34aa989c53e0dcec | MATLAB | 814 | 21 | function [maxdV] = sumderivatives(eeg, framesinwindow)
% SUMDERIVATIVES calculates the derivative of the signal at each point, and
% then uses a moving window filter to sum derivatives in a given window
% width. The maximum sum of derivatives in a window is normalised to the
% signal variance. Related: https://doi.org/... |
4e2996bc83c66bd703fe5a4c5e188c9df0e7abc28b241f0f983f31d0975134b9 | MATLAB | 814 | 30 | % mglFillOval - draw filled oval(s) on the screen
%
% $Id$
% usage: mglFillOval(x,y, size, color)
% by: denis schluppeck
% date: 2006-05-12
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% inputs: x,y - vectors of x and y coordinates of center
% size... |
c514a1084059492d82fc41399c846ec55f26de79c99ecb7e80db6c42e0131dc4 | MATLAB | 814 | 33 | function ISI=compute_ISI(units,startt,endt)
%% compute_ISI calculates the Inter-Spike-Inverval of the population (units) between times startt and endt
%
%INPUTS
%
% units: structure containing the time of the spikes of all the units in
% the population recording. units has dimensions 1 x number of units and
% the time ... |
cacc925cde17d2326d7d08334339607e46ffe570fc5c1a8a33946fa91adba3f6 | MATLAB | 814 | 42 | % mglPause.m
%
% usage: mglPause()
% by: justin gardner
% date: 04/05/22
% purpose: pause that checks the keyboard w/out focus
%
function retval = mglPause(waitTime)
% call mgl listener with all events to drain queue
% check arguments
if ~any(nargin == [0 1])
help mglPause
return
end
if nar... |
e17b0667fbe1024dca37e03a2421f58fc197587e3943a09213acaff0ea4a6064 | MATLAB | 814 | 25 | function this = read_freesurfer_file(filename)
% Low level reader of FreeSurfer files (ASCII triangle surface file)
% FORMAT this = read_freesurfer_file(filename)
% filename - FreeSurfer file
%
% See http://wideman-one.com/gw/brain/fs/surfacefileformats.htm
%__________________________________________________________... |
3556c1a73a1d067b093da8d2deaeb0e8b77cac8be1671925ca34f2b571f4e79a | MATLAB | 815 | 38 | function TR_OverlayDisplayAll(RGapp)
% External function
% Loop through all groups
% Loop through all records of a group. Set start point as (0,0)
% Plot all paths, each in a different color
IDs.Group = RGapp.IDs.Group;
fig = figure(1);
NG = RGapp.Experiment.NumGrps;
row = ceil(sqrt(NG));
colormap(jet)
D = 0;
for ... |
4f52141687505405cf7625168f38c7578143ba6c90065cc96988adb4a74f3e4a | MATLAB | 816 | 35 | exps = 1208
% cords = ZoneMaster{1790,2};
load('ZoneMaster.mat')
load('ExperimentNames.mat')
dlgtitle = 'Input Movie File to Analyze';
prompt = {'Enter File Name with Extension:'};
definput = {'.mov'};
dims = [1 70];
file_specs = inputdlg(prompt,dlgtitle,dims,definput);
file_name = file_specs{1};
... |
1bae47192565048a3b32010d1906024e197bf3fd3cdd9055e9e9c759e4912127 | MATLAB | 817 | 15 | function [bestMap, bestCombination, metricValue] = best_flip_combinations(maps, comparisonMethod)
comparisonMethod = lower(comparisonMethod);
if strcmpi(comparisonMethod, 'mutualInformation')
[bestMap, bestCombination, metricValue] = best_flip_combinations_mutualinformation(maps);
elseif strcmpi(co... |
095d73ff3cdb140a5736199aeb4b714e6d17d1782efb24ea72ac1c4da3febf06 | MATLAB | 818 | 23 | function [task myscreen] = mglEyelinkCallbackCloseTracker(task, myscreen)
% mglEyelinkCallbackCloseTracker - Assigns eye position to myscreen
%
% Usage: mglEyelinkCallbackCloseTracker(IP, conntype)
% IP - the ip address of the eyelink eye tracker, defaults to 100.1.1.1
% conntype - the connection type: 0 opens a di... |
adcd66175c66841956359372a24e4ef7ab2283ea73c4b963a3cd2b56748160aa | MATLAB | 818 | 18 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [T] = helper_add_group_labels_to_table(T, SessionsToGroups, eliminateUnmatched)
% This is a helper function to be used with tables that have an animal
% name and session name. It will add the group labels and ids.
... |
bf53f79529c8a76d04d98673f871c7c864c8ebb4e233390c9c4987186a61d7ca | MATLAB | 820 | 25 | function mulana_savefig(hFig, outputFolder, fnPrefix, formats)
for iFormat = 1:length(formats)
format = formats{iFormat};
fn = [];
if ismember(format, {'png', 'pdf', 'svg'})
fn = fullfile(outputFolder, sprintf('%s.%s', fnPrefix, format));
if ~exist(outputFolder, 'dir')
... |
c1ee2b5d919bf8e773895de1e9046583bcfc914ef2bbd854fcf7b4e22ff6be71 | MATLAB | 821 | 20 | % SONLASTPOINTSTIME returns the time for which a read will terminate
%
% Implemented through SONLastPointsTime.dll
%
% TIME=SONGETADCDATA(FH, CHAN, ETIME, STIME, LPOINTS, BADC {, FILTERMASK})
%
% INPUTS: FH SON File Handle
% CHAN Channel number (1 to SONMaxChannels)
% STIME Searches back f... |
1942da31a647cb27dfd187fa76f0a963f0446bee23533a2b0751be5736461232 | MATLAB | 822 | 29 | function [im1] = rotate(j,pitch)
im=pitch;
sz=size(im); % 求出原图大小
h=sz(1);
w=sz(2);
c1=[h;w]/2; % 原图中心
a=45/180*pi;
R=[cos(a),-sin(a);sin(a),cos(a)]; % 旋转矩阵45°
R=R'; % 求出旋转矩阵的逆矩阵
hh=700;
ww=700; % 画布的大小
c2=[hh,ww]/2; % 求画布中点
im1=uint8(zeros(hh,ww)*128); % 初始化目标画布
for m = 1:hh
for n = 1:ww
p=[m;n]... |
1d16b9f2ea811d5ed4da8104f43b2bc1cee88ff1f1abbf9b2a5ede24eb5bd36a | MATLAB | 822 | 30 | % Example of parameter estimation problem
% This example corresponds to MEIGO toolbox example: ex5.m
% http://gingproc.iim.csic.es/meigo.html
function [F R]=matlabPE(X)
global texp yexp
[tout,yout] = ode15s(@ex5_dynamics,texp,[100 0 0 0 0],[],X);
R=(yout-yexp);
R=reshape(R,numel(R),1);
F = sum(sum((yout-yexp).... |
6914f30788339e828f65cbb6b4228470f89a9221a334257dcc077769e319db87 | MATLAB | 822 | 24 | function descrs = extendDescriptorsWithGeometry(type, frames, descrs)
% EXTENDDESCRIPTORSWITHGEOMETRY Extend feature descriptors with geometric components
% DESCRS = EXTENDDESCRIPTORSWITHGEOMETRY(TYPE, FRAMES, DESCRS)
% extends the descriptorss DESCRS with either nothing (TYPE =
% 'none') or XY (TYPE = 'xy') ... |
74d3e0959a58c887aa52a579154ada7bde1b46dc1ba018b127d207bad8ee823e | MATLAB | 822 | 33 | function [roll_pos,roll_neg, pitch_pos, pitch_neg, yaw_pos, yaw_neg] = separate_velocity_channels(velocity)
roll_pos = zeros(1,size(velocity,2));
roll_neg = zeros(1,size(velocity,2));
pitch_pos = zeros(1,size(velocity,2));
pitch_neg = zeros(1,size(velocity,2));
yaw_pos = zeros(1,size(velocity,2));
yaw_neg = zeros(1,... |
41771f937974fafbf97dda2dfab2117ba1621234077a740e5e734c9d2002ad29 | MATLAB | 824 | 24 | function output = concatRuns(input)
% Function to permute and concatenate runs of fMRI time series
%
% INPUTS
% input : (matrix or array) observed time series (time by voxels by unique stimuli by runs)
% prediction : (vector or matrix) predicted time series (time by runs by voxels) <-- double check ... |
64ffbccae2a69dffada0a36bd1e52ecbc76826d9b2a0deaa865d0b543c919170 | MATLAB | 824 | 20 | function compareLMMs = compareLMMmodels(modelA, modelB, modelAName,modelBName)
if ~exist('modelAName','var')
modelAName = [];
end
if ~exist('modelBName','var')
modelBName = [];
end
compareLMMs = compare(modelA,modelB);
fprintf('Fixed Effects comparison:\n')
fprintf('%s %s vs %s %s\n',compareLMMs.Model(1),mod... |
a5c7b0c4fac06f3b9cf8e48bb3a8dc3e68e27ffbaddb3b3155a4cabd3c812d10 | MATLAB | 824 | 39 | function [ax] = plotPDF2D(x,y,data,figprefs)
%plotPDF2D.m
cmap = colormap(turbo);
tickdir = 'out';
dobox = 'off';
xL = optCheck(figprefs,'xlims',[],[]);
yL = optCheck(figprefs,'ylims',[],[]);
xLbl = optCheck(figprefs,'xlbl','ISI(n) (ms)',[]);
yLbl = optCheck(figprefs,'ylbl','ISI(n+... |
26c6557565ab06458f6cc5464b88afe85cf8f36673075c1350550ebf659272d4 | MATLAB | 826 | 29 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [R] = get_animalnames_and_micegroups_from_table(T)
% This function returns a table that contains the unique pairs of
% animalName and mouseGroup in the table T.
uniqueAnimalNames = unique(T.animalName);
uniqueMouseGroups = ... |
28506271f96ce0a45adc8933b4e7f85459f86cf0062db66c6f04c37b296eaebf | MATLAB | 826 | 27 | function [Vout, Ydata, XYZ] = gretna_read_image(Path_filename)
%==========================================================================
% This function is used to read volume data of single nifti image.
%
%
% Syntax: function [Vout Ydata XYZ] = gretna_read_vol(Path_filename)
%
% Input:
% Path_filename:
% ... |
5b34d8d18c544b5f8a374b6d3f071586b693bb131d1e0eb169f86b1fa1344b37 | MATLAB | 826 | 40 | function plot_individualExampleCheck(chunkAs, chunkBs, chunkDiffs, segData, csInfo, z, windowSize)
csInfo(~csInfo(:,1),:) = [];
for i = 1:size(chunkAs,2)
csTime_beh = round(csInfo(i,2) * z.sr_b);
start_chunkA_beh = csTime_beh - ((windowSize/2)*z.sr_b);
end_chunkA_beh = csTime_beh + ((windowSize... |
6f54772457a107f7355a70343c26c126cd243d063a740cd472a4fc826f59cbfe | MATLAB | 826 | 29 | function angles = ml_alg_center_out_angle_continuous_bias(width, height, nSamples)
% This computes the samples of center out angles when points are
% picked uniformly at random from rectangular maps of size nX by nY
centerX = width/2;
centerY = height/2;
angles = nan(1, nSamples);
r1 = rand(nS... |
b2014ab0983a0f570a70ae98f325597da1adb5cfcf754ac4e8e75fb7583c83eb | MATLAB | 826 | 23 | function value = read_moving_window(moving_window_file,window_index,key)
load(moving_window_file);
moving_window_struct = window_cell{window_index};
if strcmp(key,'format_string')
value = moving_window_struct.format_string;
% elseif strcmp(key,'remaining_seconds')
% value = moving_window_struct.remaining_sec... |
edf3a6bf7f532fe9da68f59d9468fb3818ea2e9d48bca88b733405d14f84996f | MATLAB | 826 | 29 | classdef MLTrialInterface < handle
%MLTrialInterface An interface for a session's trial
% An interface for a session's trial
methods (Abstract)
getName(obj)
getSliceId(obj) % id of this trial
getTrialId(obj)
getContextId(obj)
getDigs(obj) % return ... |
01d9b54a5ab245e5850becf95b782a1f8121d31d18e46cc1be946b167621eef6 | MATLAB | 827 | 36 | function [S,lags] = spikeSurvivor(delta_mat,time_dim)
%spikeSurvivor.m
% inputs:
% delta_mat: binary matrix, spike occurrence = 1
% time_dim: 1 if time down rows, 2 if time across cols
% outputs:
% S: vector (row, col for time_dim 2,1)
% survival function up through max lag in delta_mat
% lags: survival times at whic... |
fba54c320c52003e1246134280e951d5311bc124a8a3f2e7bc6f29c5ed9c1038 | MATLAB | 827 | 25 | function [task myscreen] = mglEyelinkCallbackNextTask(task, myscreen)
% mglEyelinkCallbackNextTask
%
% Usage: mglEyelinkCallbackNextTask
% IP - the ip address of the eyelink eye tracker, defaults to 100.1.1.1
% conntype - the connection type: 0 opens a direct link, 1 initializes a
% dummy connection
... |
0a66f74fe4135df1196222fe1c49a66c2cd81b1ffee6a04be1576c175bca44fe | MATLAB | 828 | 21 | function [ind1,ind2,ind3]=get_subsample(data,N,group, groupN,groupInd,Seed)
test=rng(Seed)
sizeG=floor(length(find(group==groupInd))./N);
dum1=find(group(:,1)==groupN(1)); % HC
dum2=find(group(:,1)==groupN(2)); ... |
2a8c4ce1d3f849e81d7e38630230551f3df6f7486a46459d132d1a07acecb349 | MATLAB | 828 | 40 | %select source and sink Ch
source = [1:2 5:6 9:11]
sink = [29:30 33:34 37:39]
k = 1
for x = source;
for y = sink;
ch_comb(k,1) = x;
ch_comb(k,2) = y;
k = k+1;
end;
end;
%load
data = load('Connectivity_result.mat','GC_raw');
%extract targeted combination
for i = 1:... |
3446affbb7d6dbeb7c8cca0c8b5d5f8acbd05ceaa93cbe13066e04f9694ed780 | MATLAB | 828 | 17 | function [sorted_eigen_values, eigen_vectors] = myPCA( matrix )
%get the eigen values and vectors to do PCA
%mean center
mean_centered = matrix - (diag(mean(matrix, 2))*ones(size(matrix)));
%get the covariance
covariance_matrix = cov(transpose(mean_centered));
%get the eigen values and eigen vec... |
881c2c64ab389deefd7f94c709935c5c8eaac413dca5ac453116747a72bed021 | MATLAB | 828 | 25 | function results = vl_test_colsubset(varargin)
% VL_TEST_COLSUBSET
vl_test_init ;
function s = setup()
s.x = [5 2 3 6 4 7 1 9 8 0] ;
function test_beginning(s)
vl_assert_equal(1:5, vl_colsubset(1:10, 5, 'beginning')) ;
vl_assert_equal(1:5, vl_colsubset(1:10, .5, 'beginning')) ;
function test_ending(s)
vl_assert_equa... |
904b6664da416ab000a389af58cb21f88cdc81cb989d930f177e38f5e2c4887f | MATLAB | 828 | 24 | function [ filteredTracks ] = FilterUniqueTracks(Tracks)
%Takes a list of tracks and only keeps tracks that are unique
% Detailed explanation goes here
%fps = 14;
filteredTracks = [];
%find the frame after the first loss of track
first_frame_lost = max([Tracks.Frames]);
for track_index = 1:le... |
ec1b6ccd774c9965b25a37c4b10d14bddd436866b5e32e61e5f350e78a0b523b | MATLAB | 828 | 23 | % COMPILE Script file to compile c-code sources and generate the DLLs
% To compile the files, you will need copies of CED's machine.h and son.h.
% These are proprietory and not included in the distribution. Contact CED.
%
mex -v SONGetADCData.c GetFilterMask.c
mex -v SONGetRealData.c GetFilterMask.c
mex -v SONG... |
0d71d23aaa7e65069e802e465ffa79c3b5ccf65f16cc293b73acc960520ebc0c | MATLAB | 829 | 26 | function neighbours=st_get_default_neighbours(cfg)
ft_checkconfig(cfg,'required',{'elec'});
cfg.minchanforneighbors = ft_getopt(cfg, 'minchanforneighbors', 3);
numChan=size(cfg.elec.chanpos,1);
minChansForNeighbors=cfg.minchanforneighbors;
if numChan>128
min_neighb=3;
elseif numChan>=minChansForNeighb... |
6ca0cdca2629e94b8c05bde947d1a275f6d424cabcfc9ed910f5130084569edd | MATLAB | 830 | 45 | load fisheriris
inds = ~strcmp(species,'setosa');
X = meas(inds,2:3);
y = species(inds);
SVMModel = fitcsvm(X,y)
classOrder = SVMModel.ClassNames
sv = SVMModel.SupportVectors;
figure
hold on
gscatter(X(:,1),X(:,2),y)
plot(sv(:,1),sv(:,2),'ko','MarkerSize',10)
hold on
hold on
plot ([0 SVMModel.Beta(1)*2],[0 SVMMode... |
1e0734fa044b312f7093a3267ce739998fd26c911c1636b90282c3817f93b5fb | MATLAB | 831 | 24 | function fix_SetFlySelected(handles,fly,v)
% set the selected state for a fly
% splintered from fixerrorsgui 6/23/12 JAB
if fly <= 0,
return;
end
if v,
set(handles.hellipse(fly),'color',handles.colors(fly,:)*.5+.5,'linewidth',3);
set(handles.hcenter(fly),'visible','off');
set(handles.hleft(fly),'visible','off'... |
b9460e5479c78d2eeb8bb77d1b0033f8dcefd6b94b8fff968aa6cd365971c0d2 | MATLAB | 831 | 30 | % mglFillRect - draw filled rectangle(s) on the screen
%
% $Id$
% usage: [ ] = mglFillRect(x,y, size, [rgb])
% by: denis schluppeck
% date: 2006-05-12
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% inputs: x,y - vectors of x and y coordinates of center
% ... |
6e26c8d90b567096cdbb79c4dd7b56bfd6441825a21eb0bb19f98a75c98a8245 | MATLAB | 832 | 36 | function [smat] = shuffle_isi_delta_mat(dmat,dim,scope)
% shuffles the delta vec
% zero regions pre-first/post-final spike left as is
assert(ndims(dmat) <=2,'this fn is not ready for inputs of dim > 2')
if dim == 1
wmat = dmat';
else
wmat = dmat;
end
nT = size(wmat,1);
switch scope
case 'localFixed' % l... |
8a640cfdc05914e866808a6883fb82fd9e7a0b2f611850b39dd33b85b0754c8d | MATLAB | 832 | 30 |
function one_pixel_result=seg_eva_one_img(predict_mask, gt_mask, class_info)
exclude_class_idxes=class_info.void_class_idxes;
class_num=class_info.class_num;
assert(all(size(gt_mask)==size(predict_mask)));
gt_mask_vector=gt_mask(:);
predict_mask_vector=predict_mask(:);
if ~i... |
2a812c71380407823bd870c73588b548b6608dff020fd1b786b88f96df044e05 | MATLAB | 833 | 25 | % Get header of the system information
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves information of the system in the file specified file.
%
% usage:
% system_info = getYkgwHdrSystem(filepath)
%
% arguments:
% filepath : file path
%
% return values:
% system_... |
63f491a2b50a66a54c6ce246070d2984e10fd250942a1b64aba4ffb5ae50724b | MATLAB | 833 | 29 | function y=consolidateall(x)
% CONSOLIDATEALL applies consolidate to all the cells of a nested cell arrays
%
% Syntax: function y=consolidateall(x)
%
% Description:
% See description of CONSOLIDATE for details. By removing cell
% encapsulation of all the cells in the cell array, CONSOLIDATEALL will
% produce a dimensi... |
702b6d5057625b504325a5f4b76112f76a40bd53537b963478f2e42431c82a3e | MATLAB | 834 | 30 | function [values,variance]=conditional(X,Y)
% Returns the conditional values and variances of X given Y and Y given X.
% The calculation is based on Pearson correlation values because
% if the X & Y are jointly normal and r = 0, then X & Y are independent.
%
% FORMAT: [values,variance]=conditional(X,Y)
%
% INPUTS: ... |
86c31a36b0ca32add56f779e10933598725302b280a8a5b5a997e3f661869820 | MATLAB | 834 | 12 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [sessions] = get_sessions_and_cellnames_from_table(T)
% Returns a unique table of animal name / session name pairs
animalIndex = find(ismember(T.Properties.VariableNames, 'animalName'));
sessionIndex = find(ismem... |
fee35fdaeae24215a76ce6657970fd1e7aae3fd414add2289a6b5f44c27d9704 | MATLAB | 834 | 32 | %% Params = readParams_dcm2niix_JSON(filename, Params)
%
% Input
% --------------
% filenames : json file fullname, Params
%
% Output
% --------------
% Params : parameters contains
%
% Description:
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 13 June 2018
% Date last mod... |
8e07be095f358100e484d808d8ac5ca2efcf3c0da78e535490d15205f37f61a4 | MATLAB | 835 | 23 | function [histogram histVals] = Vector2Hist(vector, numBins, min, max)
% histogram = Vector2Hist(vector) makes a histogram of each row of the
% vector.
% numBins is the number of bins
% min is the minimum value. This value is inclusive.
% max is the maximum value. This value is exclusive(!). Thus, the largest
% ... |
1cd3887bae9c0cc55836dbca2fff77c8ba086a6b0e90b83efcc67243a8e791d1 | MATLAB | 837 | 30 | function shadedErrorBar_95CI(data1,data2, removenan, filter)
%inputs:
% data1
% data2
% removenan true or false
% filter medfilter 3 5 7 etc...
if removenan == 1
%remove naN
data1 = data1(~isnan(data1(:,1)),:);
data2 = data2(~isnan(data2(:,1)),:);
end
if filter > 1... |
5dfdf169a5efaf0ef962970009dc0c8a97aca84180b58c457c70adcb520ac8e5 | MATLAB | 837 | 36 | function feedback = sampleFeedbackText(hitRate)
if hitRate>0.8
answers = { ...
'Good job!', ...
'Well done!', ...
'You rock!', ...
'Excellent!', ...
'Amazing!', ...
'A++++!',...
'Outstanding!',...
'Superb!',...
'Brilliant!'};
elseif (hitRate>... |
875a9c558ece5e37f068641e4ddda13015f4e2ee02fa1f99512ab758008d0b1f | MATLAB | 837 | 26 | %% LOAD
[ds_events]= utils.load_ds_events('standard');
%% SPECIFIY PARAMETERS FOR CLASSIFICATION
type='onsets';
param(1).type=type;param(1).stat='avg';param(1).extype='pure';param(1).exthresh=1;
param(2).type=type;param(2).stat='avg';param(2).extype='pure';param(2).exthresh=1.5;
param(3).type=type;param(3).stat='av... |
8dcd6b2fd23ba96f72ba15384cdd01a6bc202812534f4bfd96c20d5add668a38 | MATLAB | 837 | 35 | function v_Data = f_LoadF64File(pstr_FileName, ps_FirstIndex, ps_LastIndex)
if nargin < 1
return;
end
s_FirstIndex = 1;
s_LastIndex = -1;
if nargin >= 2 && ~isempty(ps_FirstIndex)
s_FirstIndex = ps_FirstIndex;
end
if nargin >= 3 && ~isempty(ps_LastIndex)
s_L... |
65988e4e369e2e3d420dc4fe729e2b3e8a2dd504786d24cd3259a65f87fe0578 | MATLAB | 838 | 38 | function results = vl_test_cummax(varargin)
% VL_TEST_CUMMAX
vl_test_init ;
function test_basic()
vl_assert_almost_equal(...
vl_cummax(1), 1) ;
vl_assert_almost_equal(...
vl_cummax([1 2 3 4], 2), [1 2 3 4]) ;
function test_multidim()
a = [1 2 3 4 3 2 1] ;
b = [1 2 3 4 4 4 4] ;
for k=1:6
dims = ones(1,6) ;
dim... |
fea43da29d611a705191ee8087a09cbe4a268b90d9682913e1a26e81f05e8388 | MATLAB | 838 | 25 | %SAD
%% Coming from wrapper
i=1
path_to_tc
%% Template
options.params.cutoff=1;
options.params.lags=0;
options.params.autocorrelation=0;
options.params.concurrent=1;
options.params.pass_th=0;
options.perc=[0.6 0.4];
% options.perc=[handles.connectotyping_settings.partition_model handles.connectotyping_settings.partitio... |
0eb381896f36d237a8eabe7ad83f7723f56e81bc29cbc7f05dbf93595484b08e | MATLAB | 839 | 19 | % VL_AIBHIST Compute histogram over VL_AIB tree
% H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data
% points DATA on the VL_AIB tree defined by PARENTS. Each element of
% DATA indexes one of the leaves of the VL_AIB tree.
%
% H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms.
% In ... |
7a7c5d595d79b31e091bf4628ebd7fee53b2b8f0b65e3415447c1eff9602a246 | MATLAB | 839 | 19 | function [impad] = padReflect(im,r)
% function [impad] = padReflect(im,r)
%
% Pad an image with a border of size r, and reflect the image into
% the border.
%
% David R. Martin <dmartin@eecs.berkeley.edu>
% March 2003
impad = zeros(size(im)+2*r);
impad(r+1:end-r,r+1:end-r) = im; % middle
impad(1:r,r+1:end-r... |
0c262e556d8d578ad8d1e93dc9fd8ac6c1e03a92d3ad6d07606ddb088f0defec | MATLAB | 841 | 25 | function [imuOffset_s] = ml_inscopix_gpio_extract_imu_timeoffset(fn)
if ~isfile(fn)
error('The file (%s) does not exist. Can not extract the IMU time offset from it.', fn);
end
T = readtable(fn, 'FileType', 'text');
% After I had figured this out, Qing from Inscopix said that he used
%... |
0e73855087e3a6fbe88d6006ec959db78f32372ed551da610bb3bc6d17dfd6aa | MATLAB | 841 | 41 | function writetoPAJ(CIJ, fname, arcs)
%WRITETOPAJ Write to Pajek
%
% writetoPAJ(CIJ, fname, arcs);
%
% This function writes a Pajek .net file from a MATLAB matrix
%
% Inputs: CIJ, adjacency matrix
% fname, filename minus .net extension
% arcs, 1 for direct... |
2c7964e8871157d0d219c460f5c4ebbc71566fd281a27fb08a5a8758cee5ef9f | MATLAB | 841 | 27 | function value = read_FD(FD_file,FD_threshold,key)
if FD_threshold > 0.5
disp(['Input FD threshold (' num2str(FD_threshold) ') is greater than the maximum tested against (0.5)'])
return
end
load(FD_file);
FD_struct = FD_data{floor(100*FD_threshold)+1};
if strcmp(key,'format_string')
value = FD_struct.for... |
bc5ed7489a5c81862d667bf8f17504b730a55d71f4c43ed78b9821a264f98c90 | MATLAB | 841 | 25 | function [segments, new_labels, label_num] = mexSLIC(cluster_colormap,desiredRegions,regularizer)
% Gathering some information
[height, width] = size(cluster_colormap(:, :, 1));
% Get the segments from the SLIC algorithm.
% [pix_label, label_num] = my_slic(double(cluster_colormap),desiredRegions,regularizer,1);... |
eab0e2a43b72f41ff8092c6abefef7fd13cbee40f5a54825858b6b3610c2a1ed | MATLAB | 841 | 46 | %
% Predict Euclidean predictions. The result is the negative Euclidean
% distance in the matrix M with MM' = U abs(D) V'.
%
% RESULT
% prediction (e*1) Prediction values
%
% PARAMETERS
% u (m*r) Left eigenvectors
% d (r*r) Central matrix
% v (n*r) Rigth eigenvectors; may be []
% at (e*2) Pairs of vertices to ... |
4c8105010b4feb8eadb8c0a168d8f7091a263439bf72691d95476a80e9659e49 | MATLAB | 843 | 24 | function [] = plotDiGraph(probe)
%PLOTDIGRAPH Plots arrows between neighboring modules
% Detailed explanation goes here
% display the directional graph. If a node is not connected, only a dot
% will be displayed over the module's centroid.
h = plot(probe.G,...
'XData',probe.modules(:,1),...
... |
4eb03a449ff04b15c176de103e9827ca699f4d65d7214f12a4154b928276ee0e | MATLAB | 843 | 37 | Adapts code from:
https://github.com/trendscenter/gift
%Define command line arguments.
function [results] = elbow_k(X,klist,clusts,cents)
%Collect WCS and CVI.
SSE = zeros(1, length(klist));
R = zeros(1,length(klist));
%Evaluate clustering performance.
for i=1:size(klist,2)
%Set up values.
idx = clusts... |
86b84f8b54b192c77bbf9b8d5d9da278e7ea7ea4da8c35c401824cc66db95f40 | MATLAB | 843 | 19 | % VL_BINSEARCH Maps data to bins
% IDX = VL_BINSEARCH(B, X) maps the elements of X to the bins
% defined by B. B is a non-decreasing vector of M real numbers
% defining bins [-inf, B(1)), [B(1), B(2)), ... [B(M) +inf] (note
% that the last bin contains +inf). The bins are numbered from 0 to
% M. X is a real ... |
4e2d9719f74d674ed6cddaa2a90f5da806f69acab768c8bb3ddac34c08fa495b | MATLAB | 844 | 28 | function oIm = Rgb2Ooo(rgb)
% oppIm = Rgb2Opponent(rgb)
%
% Transforms an RGB image into an opponent color image. No normalization is
% done and should be done afterwards.
%
% rgbIm: N x M x 3 Rgb image. Doubles in range 0:1.
%
% oppIm: N x M x 3 Opponent Image. Doubles again.
%
% Jaspe... |
a9d5261b6c1dfb91824de80dac992dd7bc748d932ffeb070cf3fbdf1fed937e9 | MATLAB | 844 | 22 | strcts = {'Th', 'CN', 'Pu', 'GP', 'Hpc', 'Amg', 'Acb'};
slctd_strc = [1,2,4];
%% multivariate regression
Y = squeeze(modulationIdx(:,4,:)); % to get the HLM values of 4 conditions separetely
X = LV(setxor(1:35,[23,28]),slctd_strc); %subjects 23 and 28 are excluded- the selected structures from the model are used in mvr... |
c170a5b3c1121165641e6dd2398717eb0efeabaabcbe40612e4c0290ecb8c20b | MATLAB | 845 | 21 | % FH_NBDetect_vm_getParam.m
% Get algorithm parameters from user input
function [NBDetectParam, flag] = netBurstDetection_uigetParam()
% initialize variables (in case they are not assigned)
NBDetectParam = struct('th',[],'IBeIThDef',[],'sf',[]);
% user inputs
PopupPrompt = {'No. active electrodes threshold [%]','IBeI ... |
dd07bef028f3ae085f73fc0cb4a7948f54c6903e56129ea93f6f78379dac08df | MATLAB | 845 | 33 | function [mdl,dt,p] = runExpFits(isi_pdf,isiLags,run_parfor)
%runExpFits.m
if ~exist('run_parfor','var')
run_parfor = true;
end
n = numel(isiLags);
mdl = cell(n-1,1);
dt = cell(n-1,1); %outputs tables
p = nan(n-1,1);
disp('running ISI pdf fits')
if run_parfor
poolobj = gcp; % start if not started yet
parfor... |
36ba1e13c006c5ed08e93374cf7525e4f6f18e770fcc0ff28d3d1617ea560877 | MATLAB | 846 | 28 | function status = LPCNN_savemat(freqMap_file_mat)
[data_path, base_name, ~] = fileparts(freqMap_file_mat);
freqMap_file = fullfile(data_path, base_name);
mask_file = fullfile(data_path, [base_name, '_mask']);
dipole_file = fullfile(data_path, [base_name, '_kernel.mat']);
if ~exist(dipole_file, 'file')
S =... |
e061a1530efa72e2c79ddf62e9d3ed3d6f003be76a857a70d252a5edd1e9443b | MATLAB | 846 | 33 | function fwrite3(fid, val)
%
% fwrite3.m
%
% Original Author: Bruce Fischl
% CVS Revision Info:
% $Author: nicks $
% $Date: 2011/03/02 00:04:12 $
% $Revision: 8776 $
%
% Copyright © 2011 The General Hospital Corporation (Boston, MA) "MGH"
%
% Terms and conditions for use, reproduction, distribution and contr... |
11df0000640784659548489087fa5dc638733a68edd955370fb92067804d78b3 | MATLAB | 847 | 31 | function M = Q2M(Q)
% Generate a rotation matrix from a quaternion xi+yj+zk+w,
% where Q = [x y z], and w = 1-x^2-y^2-z^2.
% See: http://skal.planet-d.net/demo/matrixfaq.htm
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: Q2... |
dc564e38ce6676415a0cbd702af986051b6480374a75f7ad0f3cfc5d928535d8 | MATLAB | 847 | 39 | function Y = staticExpComp(X, n, verbose)
% Function to apply static nonlinearity (power-law) to pRF timeseries
%
% Y = staticExpComp(X, n, verbose)
%
% INPUTS
% X : (vector) predicted time series (1 x time points)
% n : (scalar) power law exponent (n<1 implies comppression)
% verbose ... |
46538ab55a65fb5be06d7d0dcf3a4e1136446beeef7bb471315481927622026a | MATLAB | 848 | 37 | function len = strlen(str)
% len = strlen(str)
% compute the # of characters in str (ignoring 0s at the end)
%
% strlen.m
%
% Original Author: Bruce Fischl
% CVS Revision Info:
% $Author: nicks $
% $Date: 2007/01/10 22:55:10 $
% $Revision: 8776 $
%
% Copyright (C) 2002-2007,
% The General Hospital Corporati... |
8f6a4981b3934230b3125ac2ece09b1f220bee0d38817479869b92a03216d1f5 | MATLAB | 849 | 27 | function output_removal_vector = outlier_censoring(wb_command, dtseries, input_removal_vector)
outlier_removal_vector = zeros(size(input_removal_vector,1), size(input_removal_vector,2));
[status,cmdout] = system([wb_command ' -cifti-stats ' dtseries ' -reduce STDEV']);
if status ~= 0
return
end
% parse standard... |
b9db63d5da763d3b755371e1535c74ad03f148ffffd5f4f37746e0f5738db3b5 | MATLAB | 850 | 37 | %Incomplete
%ft_timelockanalysis (event-related field vs time) of ft_freqanalysis
%(oscillatory activity power/coherence vs frequency)
figure;
cfg = [];
cfg.channel=planars;
% cfg.layout = 'neuromag306all.lay';
cfg.channel='MEG2032+2033';
cfg.baseline = [-2.3 -1.3];
cfg.xlim = [-1.3 -0.3];
cfg.ylim = [-3e-12 3... |
dfe7b21ce1484462171be670366f6f15e6f28c1e1ca9301ff7dbf5970046827d | MATLAB | 850 | 33 | function d = vl_numder2(func, x, varargin)
% VL_NUMDER2 Numerical second derivative
% D = VL_NUMDER2(FUNC, X) computes the numerical second derivative of
% the function FUNC at point X.
%
% D = VL_NUMDER2(FUNC, X, ARG1, ARG2, ...) allow to pass extra
% parameters to the function FUNC.
%
% See also: VL_NUMDER... |
f5d95f7f43ccd259eb24688553870ed1f6a8e89f1f0be00a7eed1e3fafe43252 | MATLAB | 850 | 33 | function [stimuli,minFeedback,maxFeedback,lAlB,nT,nE]=f_loadStimuli(nH,alpha,beta)
% load stimuli
block=1; % block within horizon
stimuli=load(['hor',num2str(nH),'_block',num2str(block),'.txt']);
stimuli=stimuli(:,2:end);
stim=nan(size(stimuli));
temp1=zeros(size(stimuli)./[1,2]);
for i=1:size(temp1,2)
ind=(1:2)+... |
3b64bb5fa562ce93f6d770587b51ba75dcd835bb6a72c7c11cb73c12d87376ce | MATLAB | 851 | 39 | function Indexes = personFold(numSamples, labels, folds)
%number of people
% numPeople = numel(unique(labels));
%number of people per each fold
% IndPerFold = ceil(numPeople / folds);
%assign fold number for each person
%compute fold per person for each possible person
%(there might be missing individuals)
allPeopl... |
3e75a295ba66f436cb05009137c2fa640e4de43f3e6f06b865de396215cc4c7c | MATLAB | 851 | 36 | function [fconn_text, T] = encode_time_min_list_biceps(path_gui_env_list)
%%
bef{1}='FD_th_';
bef{2}='min_frames_';
bef{3}='TRseconds_';
aft{1}='_min_frames';
aft{2}='_skip_frames';
aft{3}='.txt';
n=numel(aft);
bet=cell(n,1);
bet_num=nan(n,1);
old='_';
new='.';
T=nan(1,3);
for i=1:n
bet{i}=extractBetween(path_... |
ac6ba161833309851a5d9c65212e2a1f833f730fd3daf5a62fb826ba79c1bfcd | MATLAB | 851 | 34 | function [P1,P2] = vl_clicksegment
% VL_CLICKSEGMENT Select a segment by clicking
% [P1,P2] = VL_CLICKSEGMENT() lets the user select a segment in the
% current figure and returns the starting and ending point P1 and P2.
%
% The user can abort the operation by pressing any key. In this case
% the function returns t... |
9f66fb305664820eee150a5eb149456709238309ec8c5c1260157673f29ac97b | MATLAB | 852 | 36 | function [M] = ml_nlx_convert_header_to_struct(Header)
H = Header;
% Find the empty cells
indEmpty = find(cellfun(@isempty, H, 'Uniformoutput', true));
H(indEmpty) = [];
% meta info lines containing creation information
indMeta = find(cellfun(@(x)(~strcmp(x(1), '-')),H));
H(indMeta... |
2731e9ee631c4aee91ebf337d2d5f1ed72498cb9a56713870131bedc07ed5931 | MATLAB | 853 | 27 | function exclude_uncertain_cells(info,clustering_info)
excluded_cells = union(clustering_info.excluded,clustering_info.uncertain);
cd(strcat(info.servernum,info.savepathstr,info.mouse,'\',info.date));
disp('Select the folder where dff/z_dff are saved...');
dff_directory = uigetdir;
cd(dff_directory)
load('dff.mat'); ... |
2c2cf7c112e6a761f620d8ae860db07a6c045b05e5fe312a351480f5126ccbb0 | MATLAB | 853 | 39 | function s = miniBatchSum(argMagic, zaso, fct, zasoIdx)
% uses zaso.nMiniBatch to obtain a sequential segment of samples.
% use the first sample to
switch argMagic
case 1
miniX = zaso.X(1);
s = fct(miniX);
case 2
miniY = zaso.Y(1);
s = fct(miniY);
case 3
miniX = zaso.X(1);
miniY = zaso.Y(1);
s = fc... |
46f43810c57f8fc3b85f83ddafb98a2ccd78c4c1584699acdf21f1d82b8ab0bc | MATLAB | 853 | 32 | function cfgPath = getConfigFilePath(verbose)
% Return file path to the config (token) file
%
% function cfgPath = webupload.getConfigFilePath(verbose)
%
% Inputs (optional)
% verbose - false by default. If true, reports the path to the file if found
%
if nargin<1
verbose = fals... |
a1758d15aa0dabd468fe705627bdf4d5fcbeaf06f7812a50f9700a80b0c660d5 | MATLAB | 853 | 35 | function tf = isDICOM(filename)
% Open the file -- You can do this in the native endian type.
fid = fopen(filename, 'r');
fseek(fid, 128, 'bof');
if (isequal(fread(fid, 4, 'char=>char')', 'DICM'))
% It has the form of a compliant DICOM file.
tf = true;
else
% It may be a DICO... |
3c722c32b190bc28f66f47875995cabfc59d822e9842cb7a5e01664d42651ab1 | MATLAB | 854 | 31 | function [RandSphere] = randUniformSphere(N, p)
% This function generate the random samples uniformly on a dim-dimensional
% sphere.
%
% Usage:
% [RandSphere] = randUniformSphere(N, p);
%
% Inputs:
% N: The number of samples one wants to generate.
%
% p : The dimension of the generated samples.
% p==2 => ... |
1092ee55e09959f4b4f9f6813b23752050c17edddd205e2d065c2c394bffa039 | MATLAB | 855 | 41 | function H = ml_mclust_readheader(fp)
% H = ReadHeader(fp)
%
% Reads NSMA header, leaves file-read-location at end of header
%
% INPUT:
% fid -- file-pointer (i.e. not filename)
% OUTPUT:
% H -- cell array. Each entry is one line from the NSMA header
%
% Now works for files with no header.
% ADR 1997
... |
1a0baafcd99af795d0ec06c29b8d5f9582e0c26dbbecb2b0c2dd7ad4e52564bf | MATLAB | 856 | 21 | function result = struct_with_shape_and_fields(shape, field_names)
if isempty(field_names) ,
empty = struct([]) ;
result = reshape(empty, shape) ;
else
empty = cell(shape) ; %#ok<NASGU>
argument_list_as_string = '' ;
field_count = length(field_names) ;
f... |
3cfe57f3ab1c867383ea298b742b4b65275879bb35446db69f64b4a239d02d7f | MATLAB | 856 | 35 | % mglMinimize.m
%
% usage: mglMinimize()
% by: justin gardner
% date: 08/11/2023
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: minimize the mglMetal window
% usage: mglMinimize
% To restore: mglMinimze(1);
%
% mglOpen;
% mglMinimize;
%
fun... |
b0329dba23623ef5df54e6b52effe95ecfc5995f31dc181013b9866fca816f8a | MATLAB | 856 | 43 | function freqSpec(data, samplerate)
% Plot the requency spectrum of all channels in a signal --> default 32
% channels
plotSize = [8,4];
fs = figure();
%fs.Visible = 'off';
ka = tight_subplot(plotSize(1),plotSize(2),[0 0],[0 0],[0 0]);
for i = 1:size(data,1)
sig = data(i,:);
% Calculate
L = length(... |
778e0ab646e51375556a1e80b0389b05b3c677ecfafe94479182853afe072e0e | MATLAB | 857 | 26 | function [] = C4_select_indiv_RFT_ROI()
% Topoplot ROIs for individual subs and select the best roi
roi_topoplot_path = 'Z:\Load\Results\FieldTripPlots\ROI\';
save_path = 'Z:\MATLAB\Perceptual_Load\FieldTrip\Results\group_level\RFT\ROI_RFT\';
chos_roi_L = nan(35,1);
chos_roi_R = nan(35,1);
%plot ranks of colors
clm... |
7ef7bf66bd896b579171709cab03ad14eae25bc26310ca2b90618c2baded025a | MATLAB | 857 | 39 | function rgIm = Rgb2Rgi(rgbIm)
% rgIm = Rgb2Rg(rgbIm)
%
% Transforms RGB image into normalized RGB. Note that the B channel is
% redundant as R+G+B = 1.
%
% rgbIm: N x M x 3 Rgb image. Doubles in range 0:1.
%
% rgIm: N x M x 3 Opponent Image. Doubles again.
%
if isa(rgbIm, 'uint8')
... |
8d210f1372e4e0fc167cb39ab30563963ef6d75ba33572b95cef82211ae304d1 | MATLAB | 859 | 26 | function setExternalStatus( obj, value )
% Change status of external data.
%
% Syntax:
% SETEXTERNALSTATUS( obj, value );
%
% Input parameters:
% * obj - object containg data
% * value - true or false
%
% Example:
% SETEXTERNALSTATUS( obj, value );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For r... |
476f75d49749a3cc0173abc8c17844016ca768fec739680dcdb3709b3740775f | MATLAB | 860 | 42 | function rgIm = Rgb2Rg(rgbIm)
% rgIm = Rgb2Rg(rgbIm)
%
% Transforms RGB image into normalized RGB. Note that the B channel is
% redundant as R+G+B = 1.
%
% rgbIm: N x M x 3 Rgb image. Doubles in range 0:1.
%
% rgIm: N x M x 3 Opponent Image. Doubles again.
%
if isa(rgbIm, 'uint8')
... |
a24a8dc32733891d853527d35f13246eea087fb36c230b1399cdb4a45cc969ba | MATLAB | 860 | 38 | % VL_DEMO_MSER_DELTA Demo: MSER: delta parameter
randn('state',0) ;
rand('state',0) ;
I = zeros(100,500) + 255 ;
for i=1:5
I((1:50) + 25 - 1, ...
(1:50) + 25 - 1 + 100 * (i-1)) = ...
255 - 32 * i ;
end
I = uint8(I) ;
figure(1) ; clf ;
axes('position',[0.05 0.05 1-.1 2*1/5-.1]) ;
plot(I(end/2,:),'linewidth... |
47d8adf31a59e957b36aba7cfbd2fbb354f28f99aaa8033f5fa0a7f6f51eb621 | MATLAB | 861 | 23 | function CoD = computeCoD(data,prediction)
% Function to compute coefficient of determination (also known as variance
% explained or R^2).
% We define CoD as the RESIDUAL sum of squares / TOTAL sum of squares.
%
% Compared to computing the ordinary R^2 (which does not care about
% predicting the mean correctly):
% ... |
4cddab6b24c7c0e2be1d0ae67eb3581e1a3836be589e5d9b33bf9dd0cc03f89b | MATLAB | 861 | 34 | % computeLinearPrediction.m
%
% Function that uses linear filter and input signal to produce an predicted
% output by convolution.
% Filter and input must be on same time basis.
% Run after running computeWienerKernel()
% NOTE: NaNs okay in input, just means that predicted output will also have
% NaNs
%
% INPUTS:
% ... |
59b2c72548a19d8a189c4f65d7044357e7cd7783ab544fa5e78bdece3f1d8fcb | MATLAB | 861 | 34 | function d = idummy(x, method)
%DUMMY Creates a matrix of dummy variables for a discrete variable
% D=IDUMMY(X,METHOD) creates an array D of dummy variables for the
% grouping variable I (integers 1,...,g), using the method specified:
%
% method = 1: 0/-1/1 coding, full rank
% method = 2: 0/1 coding, full ... |
924980d25c71cbd5ebb21866538a92fcfa02b5578d77ccd7fa0dd65c9a04b1d5 | MATLAB | 861 | 1 | function Dif = CalcAngleDif(Data, StepSize) % StepSize MUST be > 0
% This function is identical to CalcDif, except for the fact that it accounts for
% the periodic nature of Data about +/-180 deg.
% For detailed documentation see CalcDif.
Len = length(Data);
HalfStepHi = ceil(StepSize/2);
HalfStepLo = floor(StepSiz... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.