sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
bdcce29adf4f8b6b05c77c5e8a8c72855366bcfec6681a57c10b76bbf45a01eb | MATLAB | 661 | 24 | function rx8= set(rx8,varargin)
% SET Set RX8 properties and return the updated object
% Property names are:
property_argin = varargin;
while length(property_argin) >= 2,
prop = property_argin{1};
if ~isa(prop,'char')
treat_error(['The property input is not a valid RX8 property'])
end
val = pro... |
8a027d83d57642ac0efeb11deeb8aa11eac1f33b52935059aa36162b441ca788 | MATLAB | 662 | 42 | function d=filt50Hz(d,fs,hum_fs,f_max)
if ~(exist('hum_fs')==1); hum_fs=50; end
if isempty(hum_fs); hum_fs=50; end
if ~(exist('f_max')==1)
f_max=fs/2;
end
% if ~(exist('M')==1)
% M=matlabpool('size'); if M==0; M=1; end
% end
if min(size(d))==1
d=d(:);
end
R = 1; r = 0.985;
... |
2db16d9f97cb39806653031b7945b056bdf10f005da81248a18b85a7cf5ccab5 | MATLAB | 663 | 15 | % Compile extract audio MEX helper
% In order to extract synchronized audio and video, a MEX file is required
% that relies on the macOS AVFoundation frameworks for parsing the audio
% and video to extract audio and timestamps. (Video is read using the
% standard MATLAB VideoReader class.)
%
% Once compiled, you can ... |
3ad61ca8f3bf6550ce50b849bce4511e6f6dea731e9daaeee1cb5216cc1bb783 | MATLAB | 663 | 23 | function val = get(comp,prop_name)
% GET get Phase_comp property from the specified object
% and return the value. Property names are:
% Sig_comp,Name,Swp_on,Seq_on,Static_value,Sweep,Seq_values.
global PHASE_COMP_DEFAULT;
if isa(prop_name,'char')
switch prop_name
case 'Sig_comp'
val = comp.Si... |
3f02197654f9fd5e4245b48abfb51d6fd41683f283b2c861e7229ab560bbc837 | MATLAB | 666 | 29 | classdef RunningState < LogbookState
%RUNNINGSTATE happens when an experiment has been started.
% Author: Lasse Osterhagen
properties (SetAccess = private)
% Array of all start times
startTimes
end
methods
function this = RunningState(evaluator)
this@LogbookState(evaluator)
end
... |
ee4699d06a1e156a7f304678db0b5397e978974384a242fa21d04ab70fe869d9 | MATLAB | 667 | 36 | % BH_correct
% 26.May.2021
% Mohammad Shams
% m.shamsahmar@gmail.com
%
% correct pvalues for multiple comparisons using Benjamini-Hochberg method
% INPUTS
% pval: originally calculated pvalues
% alpha: alpha level
% side: [DEFAULT] two-sided(2) | one-sided(1)
% OUTPUT
% sig: a logical vector indicating significant pva... |
ea0c3d3a18251bba034e5aa31f50c8b0bb36ebc9383078a8f2fd5ffe938f9cf9 | MATLAB | 668 | 26 | HDSPInInd=6;
HDSPOutInd=7;
ftab=exp(linspace(log(1000),log(64000),51));
Hz=2*pi/192000;
for ii=1:length(ftab)
sig=sin(ftab(ii)*Hz*(1:192000));
win=[linspace(0,1,1920) ones(1,192000-1920*2) linspace(1,0,1920)];
sig=sig.*win/10;
y=audioplayer(sig,192000,24,HDSPOutInd);
samp=audiorecorder(192000,24,2,H... |
1a8fa04ef1b2c44c721384d7f2599018c4e4e83f9fd69df77427074a6687de29 | MATLAB | 669 | 39 |
function FS_Tiff_Parse(DIR,varargin)
mat_dir=[pwd, '/mat']
if exist(mat_dir,'dir')
rmdir(mat_dir,'s');
end
mkdir(mat_dir);
outlier_flag=0;
if nargin<1 | isempty(DIR), DIR=pwd; end
mov_listing=dir(fullfile(DIR,'*.tif'));
mov_listing={mov_listing(:).name};
filenames=mov_listing;
disp('Parsing Tif files');
fo... |
d23c23025cb53360dcf0132ff57f120ab6f2d2799285bcd84a8188cc1f8713c5 | MATLAB | 670 | 23 | function [Result] = AO_SendBlock(ArrayData)
%% This function send stream format data to the embedded
% ArrayData :Contain the data which will be sended to embedded
% Result :Is an integer result of the AO_SendBlock, 0 = no function errors
%
% Copyright (C) 2011 AlphaLabSnR EthernetStandAlone
% Author: Majid... |
e51ab706b48bd06345de208030ebf7bc441e64c4a9d313bb311e57dc156a3b08 | MATLAB | 671 | 26 | %% STD estimation using weighted non-local means (Kullback–Leibler divergence)
function [sigma] = Sigma_estimation(im1)
w = zeros(size(im1,1));
s = zeros(size(im1,1));
for count1 = 1:size(im1,1)
for count2 = 1:size(im1,1)
w(count1,count2) = mean2(abs(im1(count1,:,:) - im1(count2,:,:))...
.*abs... |
0e3cd1dc50b6f231825aee1bc0106552b2cf436c5420e932982390216643e29b | MATLAB | 672 | 21 | date = '07.10.20';
filenum = 6;
%%
load(['C:\maestro_results\Analog_data',date,'\Tables_',num2str(filenum),'.mat'])
mdp_table = MDPData.MDPStates;
loc = find(mdp_table.type == 'A' | mdp_table.type == 'B' |mdp_table.type == 'C');
reward = 0;
mistake = 0;
miss = 0;
for ii = 1:length(loc)-1
tmpT = mdp_table(loc(ii):lo... |
a618b2d1ea0a87dc344e57c45f06d69fa4587c9d8543265fc7ef0836a57ba3ab | MATLAB | 673 | 31 |
function FS_mov(framerate,videodata)
% Convert FS to avi
% WALIII
% 02.09.15
files = uint8(videodata);
writerObj = VideoWriter( 'Output_new','Grayscale AVI' ); % include grayscale AVI if one channel
writerObj.FrameRate = framerate;
open(writerObj);
figure;
if size(size(files)) ==4;
for i=1:size(files,4) %number of... |
1a5082bad79d72168f02f9a1beee63f9e47a33946bf09f41a8b0369577658ce4 | MATLAB | 675 | 19 | function practiceTrials = createPracticeStartGapTrials(numPracticeTrials)
%CREATEPRACTICESTARTTRIALS creates trials for a practice run.
% Arguments:
% num - the number of practice trials to generate
%
% Practice trials have a relativly short start delay and are well above
% the detection threshold.
% Author: L... |
8f804be946912c68bdb4d49c1b98b02bee7466776851553ccc7915c00c59f67a | MATLAB | 675 | 27 | function maximum = get_max_val(s_comp)
% GET_MAX_VAL returns the maximal value for this component
in_method_f=get(s_comp,'Input_method_flag');
switch in_method_f
case 1
maximum=get(s_comp,'Static_value');
case 2
swp=get(s_comp,'Sweep');
st=get(swp,'Sdata');
et=get(swp,'Edata');
... |
7da477f790e40f8a783f121a8e77a59aa25f1cabd4f5b8bb59e06665d1fe6449 | MATLAB | 676 | 27 | function minimum = get_min_val(s_comp)
% GET_MIN_VAL returns the minimal value for this component
in_method_f=get(s_comp,'Input_method_flag');
switch in_method_f
case 1
minimum=get(s_comp,'Static_value');
case 2
swp=get(s_comp,'Sweep');
st=get(swp,'Sdata');
et=get(swp,'Edata');
... |
8510f47a47f4ec5b83fb0cf7b1df4668e694e41e503c69bcb83cc9614ca6bec9 | MATLAB | 678 | 29 | function [] = setConstantAxesLim(ti,tiles)
%setConstantAxesLim Set constant XYZ limits
% Operates on children of a tiled layout
amin = inf;
amax = -inf;
if nargin==2
figure(ti.Parent)
for ii=1:length(tiles)
thisPlot = nexttile(tiles(ii));
amin = min([amin,thisPlot.XLim(1),thisPlot... |
b2e966059503de3efe84da7e2247f7afef3b155717dd925e245648b0f18f1024 | MATLAB | 680 | 33 | function y = MirrorFilt(x)
% MirrorFilt -- Apply (-1)^t modulation
% Usage
% h = MirrorFilt(l)
% Inputs
% l 1-d signal
% Outputs
% h 1-d signal with DC frequency content shifted
% to Nyquist frequency
%
% Description
% h(t) = (-1)^(t-1) * x(t), 1 <= t <= length(x)
%
% See Also
% DyadDow... |
beba309670c0d3253d78129e4051393b4dc04ca147a09c28f3b6836f7311add3 | MATLAB | 682 | 34 | function [loc, trial] = get_defined_data(year, month, day, rat)
% JN 2020-07-01
fname = fullfile('..', 'data', 'trial_data.mat');
S = load(fname);
loc = S.all_locs;
tr = S.all_trials;
idx_loc = loc.Year > 0;
idx_tr = tr.Year > 0;
if year > 0
idx_loc = idx_loc & (loc.Year == year);
idx_tr = idx_tr & (tr.Year... |
5f7b39091985a3a489a37583ac86d3f399561ae807ca4cf780dd5de6edec7656 | MATLAB | 683 | 30 | function env_list=show_env_list(m_sig)
% env_list=show_env_list(m_sig) returns a column vector of Strings representing the
% current envelope list on this main signal.
% show_env_list(m_sig) prints a String vector column representing the current
% envelope list on this main signal.
envelopes=get(m_sig,'Envelope_list... |
1a85fab5f566a1f1959e448b87dee0fb645398cb0eb7318ed7337b458bdf04ce | MATLAB | 685 | 24 | function line=add_formula(line,comp_tag)
% ADD_FORMULA adds a tag-name to the list of graphical tags
% that contain a formula as an input.
% Line=ADD_FORMULA(LINE,COMP_TAG) adds the given tag-name to
% the end of the LINE's list of graphical tags that contain a formula as
% their input.
if (~isa(comp_tag,'char') || i... |
7234a7d76159ac1d4266035931aa0d24c1f532bfbdfbab0370f7e49b26d42224 | MATLAB | 689 | 35 |
clc
clear
close all
% load
load xx_108_4_single_e2o_perf
exe2obs_cell = cellfun(@mean, test,'UniformOutput',false);
exe2obs = cell2mat(exe2obs_cell);
exe2obs = exe2obs-100/3;
load xx_108_4_single_o2o_perf
obs2obs_cell = cellfun(@mean, verif,'UniformOutput',false);
obs2obs = cell2mat(obs2obs_cell);
obs2obs = obs2obs... |
76102345bdb4f167e8bf4db354580d2d4816cde005f4c311079eeb2182672e50 | MATLAB | 692 | 22 | function val = get(comp,prop_name)
% GET get Depth_comp property from the specified object
% and return the value. Property names are:
% Sig_comp, Name, Static_value, Value_formula, Static_reps, Reps_formula,
% Seq_values, Seq_values_str, Coord_index, Index_formula, Wrap, Fixed_num_data,
% Sweep, Seq_values, Seq_valu... |
304cb3cb164a02e90ce50a80727fc4de0a296ff1cffc0a7c20ddbfba7dd0bb0c | MATLAB | 693 | 19 | function [thisAdjMat] = permuteROIpair(adjMats,ROI_A,ROI_B)
%permuteROIpair Permute ROI assignments to test ROI differences
% adjMat - Nroi x Nroi x Nsubj matrix
% ROI_A,ROI_B - indices to permute
toFlip = logical(randi([0 1],size(adjMats,3),1));
thisAdjMat = adjMats;
thisAdjMat(:,ROI_A,toFlip... |
eb956dc39ea6946e434a0f381f2da81f24ee3c39af8c3a33a5e09c962a9c1057 | MATLAB | 695 | 22 | function [stmForAdap,stmForSupp] = compareSTIMinfo(STIM)
% compare stim inputs
clear count stmForAdap stmForSupp rowName
supTrls = [1554;1593;1660;1765;1767;1890;1926;2335;2378;2408;2785;2799;2861;3111;3145;3208;3329;3335;3391;3592;3652;3782;3857;3965;4023;4057];
adapTrls = supTrls - 1;
holder = STIM;
count = 0;
f = ... |
c3051ffe5ca47b8c7d09c350fef2a2708e0d64a1aaeb190231d79ece52a6b2a2 | MATLAB | 699 | 17 | %-----------------------------------------------------------------------
% Job saved on 02-Apr-2020 11:06:38 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
%%
function matlabbatch=spm_spatialsmoothing(Dir_a... |
c7b7dd2ca19755eb60e0b6f4ea0bf3e8fcbf70e71fe57aa2db9aab71af80edda | MATLAB | 703 | 27 | function boolim = find_peaks(signal_vec)
means = zeros(length(signal_vec),1);
for ind = -100:100
means = means + circshift(signal_vec,ind);
end
means = means/201;
SDs = zeros(length(signal_vec),1);
for ind = -100:100
SDs = SDs + (circshift(signal_vec,ind)-means).^2;
... |
dbb712d98c00630e72c69275c0067cd8ccd9da87e45892b7d0ba88f0673c1f00 | MATLAB | 703 | 36 | function lineExamples
% % Mixing lines and areas [note that the way notBoxPlot
% % sets the x axis limits can cause problems when combining plots
% % this way]
%
% clf
%
% subplot(1,2,1)
% h=notBoxPlot(randn(10,1)+4,5,'style','line');
% set(h.data,'color','m')
% h=notBoxPlot(randn(50,10));
% set(h(5).data,'color','m... |
e25f058aad79bf72922140c4a5b5e5490ea2c992bf567b80cfafe3857fe4d735 | MATLAB | 703 | 29 | classdef hstruct < handle
%UNTITLED2 Summary of this class goes here
% Detailed explanation goes here
properties
str
end
methods
function obj = hstruct(varargin)
%UNTITLED2 Construct an instance of this class
% Detailed explanation goes here
... |
3039cb0e25f4cfee4b411375ad783a36fbff8e6f2f86ae44baa4d411d6f99fdf | MATLAB | 704 | 28 | function stateTransition_plot_FigS7(theHbT,theEMG,theLFP,specT,specF,theTitle,plotTime,plotNum)
figure(plotNum+700);
subplot(2,1,1); hold on;
yyaxis left
plot(plotTime,theHbT,'r')
ylabel('\Delta HbT (\muM)');
yyaxis right
plot(plotTime,theEMG,'k');
ylabel('Log_1_0 (EMG Power)');
ax=gca;
ax.YAxis(1).Color=... |
4371e4f25d0ad0bde25daa1e00dabd66bad11ac221c0ecd2ad7a9e3e23f10955 | MATLAB | 705 | 18 | function chan_info_str = get_chan_info(meta,line_number,chan_number)
% GET_CHAN_INFO returns information on a givan channel in a given line.
% CHAN_INFO_STR=GET_CHAN_INFO(META,LINE_NUMBER,CHAN_NUMBER) returns
% information on a givan channel in a given line of the MetaBlock.
if (~isint(chan_number) || ~any(chan_numb... |
5b5c303eb4ef4eba7c516d56f9fd4a379d297ff80ff70d7208758173c857306e | MATLAB | 706 | 32 | function sigma = base10toM(C,N,M)
%-------------------------------------------------------------------------------------------------
% PURPOSE: convert base 10 to base M
%
% INPUTS:
% C: decimal value
% N: the number of digits
% M: base
%
% OUTPUTS:
% sigma: base M value
%---------------------------------------... |
7855c906cc6b01da3ad485106a43b9b9a80e604fb5e043289020ab0e15e8049b | MATLAB | 708 | 22 | function outStr = dialogCellstrHelper (inputStr)
% Copyright 2010-2011 The MathWorks, Inc.
% Helper used by MSGBOX, ERRORDLG, WARNDLG, QUESTDLG to parse the input
% string vector, matrix or cell array or strings.
% This works similar to the CELLSTR function but does not use deblank, like
% cellstr, to eliminate any ... |
15dbec1c03e0ce17545fab3201a53ea2ad6bef7dff9ecfeaa316e30eafdf46de | MATLAB | 709 | 24 | function [Result] = AO_CloseConnection()
%This function closes the connection between Matlab and the SnR/Neuro Omega
%% Result is an integer result of the AO_CloseConnection, 0= no function errors
%%
% Copyright (C) 2011 AlphaLabSnR EthernetStandAlone
% Author: Majid Mechael
% Last modification: 18/03/2013
Res... |
3470c30aec04f1015b5ea0ee4f83895ce7fedec03b442c491f46595fd9772afe | MATLAB | 709 | 28 | function p_m = marginalize2(p,index,N, N_st)
% ---------------------------------
% PURPOSE: marginalize probability distribution p(X,Y)
% Input
% p: joint probability distribution of X and Y
% index: marginalized out other variables than those indicated by index
%
% Output
% p_m: marginalized probability distribution
... |
99921d58dbe102d84601b4286c3d539a89518881a4b959d2707958ccd1496321 | MATLAB | 709 | 19 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2022
%function reads tiff stacks and scales pixels down to end size
function image = tiff_stack_import(tiff_fullpath)
info = imfinfo(tiff_fullpath);
stack_size = size(info,1);
rows = info(1).Height;
columns = info(1).Width;
% preallocate resized_image
image = z... |
e94cb3290ed29de9e0eb5a49fd246ed60540c906b27a7250d1773e15da772bac | MATLAB | 710 | 24 | function table_filestarts = DT_fix_file_open_times(table_filestarts, CD)
% JN 2020-04-22
n_res = height(table_filestarts);
table_filestarts.Relevant_CD_ms = zeros(n_res, 1);
% From Deuteron's manuals:
% CD: Clock difference in seconds: Logger clock time minus transceiver clock time
% this implies
% t_logger = t_tra... |
025cacc6d8b305cdfead1b155ab4e6981c2ddbfb7e968c0cb507eeb157ebeef1 | MATLAB | 712 | 22 | function info_line = get_comp_info(s_comp)
% GET_COMP_INFO extract information about the given String_comp object.
% info_line = GET_COMP_INFO(s_comp) returns a character array that hold
% information on the given String_comp object.
% The content of the information depends on the Input method of the
% component (r... |
4245926789a71c162295a3e7636cacb06ed4b20b04d833c3652bf236ff05b5b0 | MATLAB | 712 | 45 | function progressbar(n,N,w)
% progressbar - display a progress bar
%
% progressbar(n,N,w);
%
% displays the progress of n out of N.
% n should start at 1.
% w is the width of the bar (default w=20).
%
% Copyright (c) Gabriel Peyre 2006
if nargin<3
w = 20;
end
% progress char
cprog = '.';
cprog1 = '*';
% beg... |
a7789b74859ddd12461d2f83d7bb989d406844c3a499ba881ec58d8a0d7f7f67 | MATLAB | 713 | 22 | function nb = set(nb,varargin)
% SET Set NB properties and return the updated object
% Property names are:
% Level_comp, STime_comp, ETime_comp, Ramp_comp, Freq_comp,Freq_comp(for BW),Envelope_list.
property_argin = varargin;
while length(property_argin) >= 2,
prop = property_argin{1};
if ~isa(prop,'char')
... |
b923e94d893ea30ce0ce8859b2cf0231e5873a6d6c0e58b34c400f6a7a0017f5 | MATLAB | 715 | 15 | function val = get_comp_by_index(m_sig,comp_index)
% GET_COMP_BY_INDEX Gets component according to the specified index.
% VAL=GET_COMP_BY_INDEX(M_SIG,COMP_INDEX) Gets The given Main_Signal
% component according to the specified component index.
% Index can be 1,2,3,or 4 (as the number of Main_signalcomponents)
% index=... |
95ff5a60576aad3a095e5b5a868ce9ef8565e931c824f0d68d84444105cf2b4d | MATLAB | 718 | 22 | function env = set(env,varargin)
% SET Set Envelope properties and return the updated object
% Property names are the component names that build the relevant Envelope.
property_argin = varargin;
while length(property_argin) >= 2,
prop = property_argin{1};
if ~isa(prop,'char')
treat_error(['The property ... |
722b0d40f5eeab0f2c6603e915e3b3ea43b041125f7dfd9311d857091225f5de | MATLAB | 722 | 22 | function [angs, rs] = get_ang_and_rad(loc_x, loc_y)
% Function get_ang_and_rad converts the provided X and Y locations to polar coordinates
%
% Inputs:
% loc_x - (Nx1 matrix) - pixel X locations
% loc_y - (Nx1 matrix) - pixel Y locations
%
% Outputs:
% angs - (Nx1 matrix) ... |
c71cea57199b9c9eb9865e74f5b0815baac12b8031de6549e868d81b10618363 | MATLAB | 723 | 22 | classdef (Abstract) AudioObjectSampleFactory < handle
%AUDIOOBJECTSAMPLEFACTORY creates audio sample matrices from AudioObjects.
% Author: Lasse Osterhagen
methods (Abstract)
outMatrix = makeAudioObjectSamples(this, audioObject, rawSamples)
% Modifies the rawSamples so that the AudioObject will be included.
... |
d11b81d7a247c5b4c175a7bdd53084dc4c7665db3a4f1726e0aebc9830b0aa4d | MATLAB | 725 | 22 | function [Result] = AO_StopStimulation(ChannelNumber);
%% This function stops stimulation of the source of the ChannelNumber
% ChannelNumber: the Id of the channel
% Result is an integer result of the AO_StopStimulation, 0 = no function errors
Result=MexFileEthernetStandAlone(11,ChannelNumber);
%% Copyright (... |
fad969f1437477b5af69dbf062e27cbdff2576f2b2659af8a76854b244ec2c94 | MATLAB | 725 | 35 | function I_out=im_expand(I,Nx,Ny)
%
% Simetric expansion of image I
%
% (Assumes a DCT-like simetry)
%
% Y=IM_EXPAND(I,Nx,Ny)
%
% Asumes a specular simetry of image I and replicate Nx columms
% and Ny lines.
%
% If size(I)= [M1, M2]
% then size (I_out)=[M1+Ny,M2+Nx]
%
% Santiago Aja-Fernandez (V1.0)
%... |
8c7a56db93efeb595dd81f94155bba077ef5a7da16f00369d6574c51b3c19030 | MATLAB | 727 | 37 | % raster_many
% 2021-07-18
% Mohammad Shams
% m.shamsahmar@gmail.com
%------------------------
% raster(M,C,sz)
% M: input matrix k x {trial x time}
% C: color map (color x RGB; default = black)
% sz: dot size (default = 10)
function plotRaster(M,C,sz)
switch nargin
case 1
C = lines(7);
sz = 5;
... |
de72de805a5452f8e8dbfc7609494891d3a52f7a271d3869954e7826178bb233 | MATLAB | 728 | 21 | function [states, t_states] = parse_maestro(rat_dir)
% Function parse_maestro() reads the mdp_table.mat that is produced by the Maestro.
%
% Inputs:
% rat_dir - (str) - Location of the mdp_table.mat, inside the experiment folder
%
% Outputs:
% states - (table) - Table of the state... |
746af2d0b8d080608b8bcc5f24c31a4ce99bdaabac2071ff1ea5afae4d61286b | MATLAB | 732 | 25 | function [yCoordinates, xCoordinates] = Get_ring(ROI_dat,row,col)
G = boundary(ROI_dat);
G2 = round(G*1);
scalF = 2.5;
scalF2 = scalF-1;
moat = 2;
scalF3 = moat-1;
h = poly2mask(ROI_dat(G,1)*scalF-mean(ROI_dat(G,1))*scalF2 ,ROI_dat(G,2)*scalF -mean(ROI_dat(G,2)*scalF2),row,col);
h2 = poly2mask(RO... |
a838688921663824d66dc175c6aa7a179f6956309be95e0be7cb0a3395611723 | MATLAB | 734 | 25 | function [similar_blocks, Wiener_weights] = MIRO_patch_3DFiltering(similar_blocks,similar_noisy_blocks,D_3d, sigma)
m_Shape = size(similar_blocks);
Wiener_weights = zeros(m_Shape(2),m_Shape(3));
for i = 1:m_Shape(2)
for j = 1: m_Shape(3)
Var = norm(mean(sigma(:,i,j))^2);
tem_Vct_... |
216bdcfe5b86efad798f595d9cf1f3cd7ddb244264bb408eb73a42481e6b8e6c | MATLAB | 738 | 28 | function sequence = scanning_sequence()
% The order of stimulation for each subject
%1: S1
%2: FEF
%3: DLPFC
%4: aPFC
sequence{3} = [4 1 3 2];%S3
sequence{4} = [4 1 2 3];%S4
sequence{5} = [1 4 2 3];%S5
sequence{6} = [1 2 4 3];%S6
sequence{7} = [1 4 3 2];%S7
sequence{10} = [1 2 3 4];%S10
sequence{12} = [2 1 4 3];%S12
s... |
fe51f4868815b66e07442055617585c35261c5362dc3d754d615d28e07cc0372 | MATLAB | 739 | 32 | function do_arena_view(ax, loc, metadata, params, start)
start_time = loc.Time(1);
axes(ax);
hold on
temp_image = metadata.bg_image;
% increase brightness
temp_image = min(temp_image * 1.4, 255);
bg = cat(3, temp_image, temp_image, temp_image);
imshow(bg)
ax.Title.String = {sprintf('%.1f minutes into day %d', ...... |
caec2b70f67281bc0e7dcd4604bca4a24560d2e06a9b2c9ae022db03bbe8623a | MATLAB | 742 | 45 | function fb_plot_roi_stackplot(ROI,T,varargin)
%
%
%
%
%
%
% parameter collection
nparams=length(varargin);
linewidth=1.2;
colors=colormap('winter');
spacing=.1;
if mod(nparams,2)>0
error('Parameters must be specified as parameter/value pairs');
end
for i=1:2:nparams
switch lower(varargin{i})
case 'linewidth'
... |
df87fcbcd8d51cf3838bb444e9a8c12aac66ad5d1627cf964d988250dbb386a4 | MATLAB | 743 | 30 | function [succeeded,err]=connect(pa5,interface)
global Out_Manager;
dev_num=get(pa5,'Device_num');
err='';
actx_cntrl=get(pa5,'Controler');
dev_num=get(pa5,'Device_num');
% if (invoke(actx_cntrl,'ConnectPA5',interface,dev_num)==0)
if (actx_cntrl.ConnectPA5(interface,dev_num)==0)
err_msg = invoke(actx_cntrl,'GetEr... |
1dc9d9217b7905e43cef7da6a48a163abdf3c9f70fb53eaa1c9308dddd908e8b | MATLAB | 744 | 15 | function [Final_img_tmp, m_Weight_tmp,Count] = MIRO_patch_matching_and_processing(Final_img_0, m_Weight_0,ii,jj,blk_step,...
block_Size, width, height, noisyImg,BasicImg, N, D, DD, D_3d, p, sigma_g, m_Kaiser, beta, lambda_W, adaptive_on)
m_blockPoint = Locate_blk(ii, jj, blk_step, block_Size, width, height);
[Sim... |
7046bd6396ff7fc5dc177afc9be6d24c743f1cd16e14a1b9a5e840e61ec14d83 | MATLAB | 747 | 59 | function mergelist=fb_merge_peaks(PEAKS,VALS,varargin)
%
%
%
%
%
%
win=5;
thresh=-inf;
nparams=length(varargin);
if mod(nparams,2)>0
error('Parameters must be specified as parameter/value pairs');
end
for i=1:2:nparams
switch lower(varargin{i})
case 'win'
win=varargin{i+1};
case 'thresh'
thresh=varargi... |
dce521a9c4c7d20c832ca2c5d0766cbd8f522a704fb2be471435bbf29f0daa62 | MATLAB | 748 | 26 | function [dataTable] = loadMergedDataFiles(varargin)
o = ecogutils.postHocOptionsParser(varargin{:});
% Load connectivity data
dataTable = loadECoG.loadFileList(o);
% Add good channels to table
[indexChans] = ecogutils.goodChannelIndices(dataTable,o.Hemisphere,o.CompleteChannelSet);
dataTable = addvars(data... |
3da66d0a1a4fa1df30a9bf4afc06a571050b1dcd58c96d3c53beea27689fd35b | MATLAB | 750 | 36 | classdef loadSingleVarFromFileTest < matlab.unittest.TestCase
% Author: Lasse Osterhagen
properties (Constant)
varContent = 'testContent';
end
properties
config
end
methods (TestMethodSetup)
function initConfig(this)
this.config.fileName = 'testLoadVarFromFile.mat';
this.con... |
dfeb8550f8f78593974fafc881814f26b92d60924804ba23f85d90cc11672cee | MATLAB | 751 | 19 | function sound_table = load_sound_table(rat_dir)
% Function load_sound_table() reads the sounds_table.mat that is produced by the pipeline.
%
% Inputs:
% rat_dir - (str) - Location of the sounds_table.mat, inside the experiment folder
%
% Outputs:
% sound_table - (struct) - Table ... |
ef7f7eb535367204db4db580fc1c74d36026d6258b50b9f943d4a3b461f4162e | MATLAB | 757 | 22 | function [distances] = embDistUsingElbow(obj,maxDimension)
%embDistUsingElbow
% Calculates pairwise distances in emb for dimensions up to useElbow
nodes = size(obj(1).Emb,1);
distances = zeros(nodes,nodes,numel(obj));
for iObj = 1:numel(obj)
% Unless specified, use obj's Elbow.
if ~exist('maxDimensio... |
9a21db0ea97ab2a954a15be7ca42c0b36ef88b9a26657e950dc5ca509039cd56 | MATLAB | 759 | 21 | function [res,err_msg]=check_ears(right,left)
res=1;
err_msg='';
str={right,left};
for k=1:2
ear=str{k};
other_ear=str{mod(k,2)+1};
if strmatch(ear,'1+2+3+4','exact')
cond1=strmatch(other_ear,'1+2+3+4','exact');
cond2=strmatch(other_ear,'1+2','exact');
cond3=strmatch(other_ear,'3+4',... |
0630196ba1b94675135af43febef53fa624a52bf701a7adf7777ea0dd6ed3994 | MATLAB | 760 | 33 | function I_out=filter2B(h,I)
% Two-dimensional digital filter, based on FILTER2.m
%
% Y = FILTER2B(B,X) filters the data in X with the 2-D FIR
% filter in the matrix B. The result, Y, is computed
% using 2-D correlation and is the same size as X.
%
% The image X is periodically repeated to avoid edges... |
9dadebca496af9be5ec180393568d64e3cce24ad82ffddce110e9ace5b2ef91d | MATLAB | 763 | 25 | function [data,succeeded]=read_tag_vex(rx8,buf_name,num_samples,Srctype,Dsttype,nchannels,trial_num)
data=[];
dev_num=get(rx8,'Device_num');
succeeded=1;
actx_cntrl=get(rx8,'Controler');
data=invoke(actx_cntrl, 'ReadTagVEX', buf_name, 0,num_samples,Srctype,Dsttype,nchannels);
if (isempty(data))
succeeded=0;
str... |
cc8b77eb8621663ee4f0636e41059b1f88298b390ca04413c03b74aa5809bc1a | MATLAB | 764 | 22 | function [o] = postHocOptionsParser(varargin)
%postHocOptionsParser Input parser for functions loading initial data
p = inputParser;
addRequired(p,'measure',@(x) isstring(x) || ischar(x));
addRequired(p,'DataSet',@(x) isstring(x) || ischar(x) || iscell(x));
addParameter(p,'StateMap',ecogutils.defaultStateMap(),@... |
06d977b1e7a0d567c55cf04916a6038e6a1da7ec3079e0b4e63f87d0d625bca7 | MATLAB | 765 | 29 | function [labels, tags] = loadLabels_multi(path)
% expects path to specify a folder
tiff = Tiff(path);
labels = {};
tags = {};
last = 0;
while ~last
index = currentDirectory(tiff);
tags{index} = getTagStruct(tiff);
try
desc = json.load(tags{index}.ImageDe... |
d19d4778809188b5ffce48b80390bc234b4512a3501b5c38c98bc4963251fda8 | MATLAB | 765 | 23 | function values= get_trial_values(s_comp,varargin)
% GET_TRIAL_VALUES(S_COMP) returns an array of values that would be generated for
% this String component (s_comp) according to it's internal state.
% values = GET_TRIAL_VALUES(S_COMP,RANDOM_INDICES_ARRAY) returns an cell
% array of strings of length reps
%
in_metho... |
cf446e21d0daa71ff00db32709a8b3fd8f709d8b95a9c6b9dfc3830432af320a | MATLAB | 770 | 34 | function area = getFuncArea(x,y, areaTable, centData)
x0 = centData(1);
y0 = centData(2);
R = centData(3);
%find distance from center:
r = sqrt((x-x0)^2+(y0-y)^2);
%if outside the circle
if r > R
area = -1;
return;
%if inside inner circle
elseif r <= areaTable.r2(1)
area = 0; %do nothing (can be changed)... |
341eba9621e16ea597e46c0645db2a2c29dba45c40a44e4bbb6c9eec5c85a0d3 | MATLAB | 771 | 24 | function s_coord = set(s_coord,varargin)
% SET Set Sig_coordinator properties and return the updated object
% Property names are:
% Main_signal.
property_argin = varargin;
while length(property_argin) >= 2,
prop = property_argin{1};
if ~isa(prop,'char')
treat_error(['The property input is not a valid Sig... |
4c0aae63e454c32e2b1243244bfa90f9505715a56455e9f5cdb452056715cb20 | MATLAB | 772 | 24 | % Fast evaluation of psychometric function for gap detection experiments
% with multiple blocked trials.
% Author: Lasse Osterhagen
% Unselect practice trials
fh = @(x) ~(isnumeric(x.ID) && x.ID == 0);
% Evaluate log files
fsa = FileBlockedStatsAccumulator('Duration', fh);
blue = fsa.condition.b;
yellow = fsa.condit... |
2ed850325cfd036c7d734f2330eef9a08d6c19800660ee2957b21e0ca2296f71 | MATLAB | 774 | 28 | function N = createPinkNoise(n,p)
% calculation of 1/f (pink) noise process
% calculation a priori for entire time
% randomness introduced in phase
Fmax = 1/(2*p.dt); % maximum frequency of spectrum
M = p.numSteps; % number of samples
df = Fmax/M; % interval of sampling in frequency domain
f = df:df:Fmax; % star... |
56fbe0f83fd7da2288fd7f003665621e54207b40e19cffc2534e7930ad4c340b | MATLAB | 776 | 19 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2022
%function reads tiff stacks and scales pixels down to end size
function image = tiff_stack_import2(tiff_fullpath, file_cnt, num_of_files)
info = imfinfo(tiff_fullpath);
stack_size = size(info,1);
rows = info(1).Height;
columns = info(1).Width;
% preallocate... |
e07c78cf0f3f2f38288278731e9e9712ff76cee0710cf019fbfc79c55c4e436b | MATLAB | 777 | 30 | function create_supp_table2(type2AUC, metaDprime, phi, conf_diff, fileName)
data = {type2AUC, metaDprime, phi, conf_diff};
%File name
output_path = pwd;
file = fullfile(output_path,[fileName '.xls']);
%Delete previous version of the file and open new file
if exist(file)
delete(file)
end
fid = fopen(file,'a');
%... |
0e4ea3c65975af346a07ca9b3b9ccc1fc40cc8de80ffb72f882cf10703cfdb14 | MATLAB | 782 | 28 | function [pathnames] = uigetdiles(start_path, dialog_title)
% Pick a directory with the Java widgets instead of uigetdir
% copied most of this from something online
import javax.swing.JFileChooser;
pwd = start_path;
jchooser = javaObjectEDT('javax.swing.JFileChooser', start_path);
jchooser.setFileSelectionMode(JFil... |
337d604c5b61b714056a651b391a43acca1cc8a0923ba4c72d75205570ecaab4 | MATLAB | 783 | 22 | % remove previously made point folders in composite, fcs_points folders
function remove_results_folder(pipeline_data, point_name)
% create point folders for composite tifs
[~, point_folder] = fileparts(point_name);
rm_folder = [pipeline_data.run_path, filesep, 'composites', filesep, point_folder];
... |
728679e0501836402256cdd756fd45c42ffec898a2bf01c1ba63790e504c34ea | MATLAB | 784 | 30 | function [bConnected] = AO_IsConnected()
%% This function checks if Matlab is connected to the SnR/Neuro Omega
%% returns 1 if the system is connected, otherwise returns 0
bConnected=MexFileEthernetStandAlone(9);
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Example for usin... |
aa1aa530f61d574c7ef2f195adcb7cb139b94d56936b0f66d1881c285879d917 | MATLAB | 785 | 30 | function [beamind] = InputBeams(s)
% ELN:
% modified to take creation and deletion operations outside the main
% polling program.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Usage:
% s=setupDaqSession(); % Initialize daq session
% beaming=InputBeams(s); % read beams
% .
% .
% .
% beamind=InputBea... |
2abbed93bdde0ca21a834381eb2db910708125cb3e40bfbbaa34e513ce30a73f | MATLAB | 786 | 37 |
clear
close all
load data_Fig3B_exe2obs
exe2obs_verif_exe = perf.verif;
exe2obs_test_obs = perf.test;
load data_Fig3B_obs2exe
obs2exe_verif_obs = perf.verif;
obs2exe_test_exe = perf.test;
%% plot
color = lines(7);
figure('units','normalized','outerposition',[.2 .2 .4 .4])
hold on
plot(ex... |
25646e53da83a450cd3033e04f10f24a27dfa18c9de7d296b50bc07436fb3b96 | MATLAB | 788 | 31 | %*******Alex Bhogal 1/29/2019
%function to load niftii images untouched. Output is the image data
%and info structure containing matrix and resolution info
function [image info] = loadMask(pathname, filename)
warning('off')
global opts;
if isfield(opts,'verbose'); else opts.verbose = 0; end
if ~ispc
if ... |
ba6b3816eb105c1557b29eff7b6704f4b795406919f9d2f5a3de3fe38bdca90d | MATLAB | 788 | 38 | function [Bgnd, Npil] = FS_neuropil(out_mov,ROI,resize)
% Extract Neuropil
% d09/24/17
% WAL3
% Make indexes for the ROI coordinates
for i = 1:size(ROI.coordinates,2);
if i == 1;
X2 = [round(ROI.coordinates{i}(:,2)*resize),round(ROI.coordinates{i}(:,1)*resize)];
else
X = [round(ROI.coordinates{i}(:,2... |
8d3e0bedde9a5a19aa14b188e81e84375be68b180c12326b4553e8a0c3741a4b | MATLAB | 792 | 24 | function nb=NB(varargin)
% NB class constructor.
switch nargin
case 0
% if no input arguments, create a default object
m_sig=Main_signal('NB');
nb.num_of_comps=7;%assuming NB have 1 more unique component beside the basic 4.
nb=class(nb,'NB',m_sig);
fc=Freq_comp;
f... |
5428ada48cdf00e88f130ff3a6894ae157b75ef0876c7af336d89526cfee461e | MATLAB | 793 | 26 | function dataNoAgg = gui_MibiFilterAggregates(data, gausRad, t, gausFlag)
% dataNoAgg = MibiRemoveAggregates(data, gausRad, t)
% function receives a 2d counts matrix and removes
% aggregates. Matrix undergoes gaussian kernel with radius gausRad. Aggregates are considered as connected components of size>t
% gausFlag - 0... |
075adafeed65344f10fbf5addd3dd92b5d1032f11bca3b3dd5a316b65c67c1d0 | MATLAB | 795 | 28 | function write(value, filename, varargin)
%WRITE Write a matlab value into a JSON file.
%
% json.write(value, filename)
% json.write(..., optionName, optionValue, ...)
%
% The function saves a matlab value in a JSON file. A value can be any
% of a double array, a logical array, a char array, a cell array, or a
% st... |
2caf90a294f4278350cd6792d4ac05b1078d0431daaeb1079dd752dc577c401c | MATLAB | 796 | 28 | function value = read(filename, varargin)
%READ Load a matlab value from a JSON file.
%
% value = json.read(filename)
% value = json.read(..., optionName, optionValue, ...)
%
% The function parses a JSON file and load into a matlab value. By default,
% numeric literals are converted to double, string is converted t... |
9a0f7c178643adff2fa7ec814caeb0d50940ff80040c0e96695d9d5e82a37918 | MATLAB | 797 | 23 | function [nearVsMedian,sortedDistance] = localDifferentiation(obj,maxDimension)
%centroidDist Euclidean distance between centroids
% clusters = Integer indices identifying clusters
% nCluster = Number of clusters overall
% useChans (optional) = logical array of channels to use
% maxDimension (optional) = U... |
42cc11d46b2abdc3cf6ff0350df1f29333904ec1d2a94d2d7d748c11fa86b213 | MATLAB | 800 | 23 | function saveTIFF_folder(counts, labels, tags, path, varargin)
rmkdir(path);
for index=1:numel(labels)
tiff = Tiff([path, filesep, labels{index}, '.tif'], 'w');
setTag(tiff, tags{index});
setTag(tiff, 'Compression', Tiff.Compression.Deflate);
if numel(varargin)>0
bits... |
61f561e79929ae1ec16eac63de6f974a06bc5ad55e6472d19fe9d81119fe7f94 | MATLAB | 800 | 25 | function entropy=fuzzyEntropy(x,h)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% INPUTS : 'x' is the fuzzy parameter vector
% 'h' is the histrogram of the image
% OUTPUT: 'entropy' is the Fuzzy Entropy of the image after fuzzy partition
% of the histogram 'h' by the ... |
07fc99758623ea27b049c2e3ebaf905499f68fdbddb675ce15243e916eadf2b7 | MATLAB | 802 | 38 | function [detrended] = detrendHRF(data, breakPT )
global opts
%setup detrend data
detrended = zeros(size(data));
xdata = [1:1:size(data,2)];
xData = xdata';
xData(breakPT(1):breakPT(2)) = [];
for ii=1:size(data,1)
input = data(ii,:)';
input(breakPT(1):breakPT(2)) = [];
%ft = fittype( 'poly1' );
%option... |
e1cc6ec785cc0b6eef1c9594efe79842d8fa15ac33529f2bcccbe8ea9d9d316c | MATLAB | 802 | 17 | function [faces, vertices] = readTriByu(filename,fixedwidth)
% [faces, vertices] = readTriBYU(filename,fixedwidth)
% Reads a BYU file if it holds a triangulated mesh
%
% filename - path to BYU file
% fixedwidth - 0 or 1 refers to which style of byu file (whether numbers are spaced into fixed width columns)
% vert... |
cef8dade497f45e9d03442b6bd64ecebd576038bb252aada49650502fa5f4acd | MATLAB | 805 | 21 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2022
function dF_F_image_resized = dF_F_resized(resized_image)
%function fits baseline pixelwise with chronux toolbox
%and calculates dF/F for each pixel
total_frames = size(resized_image,3);
time_for_fit = [1:total_frames]';
[x_pixels, y_pixels, z_pixels]= size(r... |
f7587a37ad14a6190156e1949da96cdbbb8ec6906b740b34f98a1e7323cb4ce1 | MATLAB | 805 | 16 | function generatePanels_FigS7(FigS7)
%% P15 Supplemental Arousal State Transitions
transNames=fieldnames(FigS7.arousalTransitions);
for transNum=1:length(transNames)
theHbT=mean(FigS7.arousalTransitions.(transNames{transNum}).IOS.forepaw.dHbT,1);
theEMG=mean(FigS7.arousalTransitions.(transNames{transNum}... |
70113e22ac7af56f405a1cbfd905414981615df07f32fe4661ca8188ce21b50f | MATLAB | 810 | 28 | % function [T, paramF] = createSilenceRows(Told,paramFold,nrows,trdur)
%
% type = cell(nrows, 1);
% type(:) = {'silence'};
% type = categorical(type);
% speaker = ones(nrows,1)*3;
% samp_rate = ones(nrows,1)*192000;
% trial_dur = ones(nrows,1)*trdur;
% stime = zeros(nrows,1);
% etime = zeros(nrows,1);
% ramp = zeros(n... |
1397959f7ffdb53f1276e9a91ad79b5d9175dac43c7e7ac03c8718cecb0f4cb0 | MATLAB | 811 | 27 | function l_coord = Line_coordinator(varargin)
% SIG_COORDINATOR class constructor.
% L_COORD = LINE_COORDINATOR(BASIC_LINE) constructs a Line Coordinator
% for the given Basic Line.
switch nargin
case 0
l_coord.line=Basic_line;
coord=Coordinator(l_coord.line);
l_coord=class(l_coord,'Line_coordinator',coord);... |
ed151cc2ae0e17234d23f989cac99a5a0a602cac608bdda271f37ae673681e60 | MATLAB | 812 | 26 | function [f, df, ddf] = rosenbrock(x);
% rosenbrock.m This function returns the function value, partial derivatives
% and Hessian of the (general dimension) rosenbrock function, given by:
%
% f(x) = sum_{i=1:D-1} 100*(x(i+1) - x(i)^2)^2 + (1-x(i))^2
%
% where D is the dimension of x. The true minimum is 0 at x ... |
6e4c87a2471b905a129aa325a5a7a15383da09c72c5bb1ebb0cc768b4d6420d5 | MATLAB | 814 | 16 | function countsNoNoise = gui_MibiFilterAllByNN(countsAllSFiltCRSum,IntNormD,threshVec)
% function filteredData = MibiFilterAllByNN(countsAllSFiltCRSum,IntNormD,threshFile)
% function filters images (removes noise) by NN density. countsAllFiltCRSum
% - cell array of images. IntNormD - cell array of
% intensity-normalize... |
812380a4a668bcab774cebf418855cce1664fdd94e44e799b069aaaced0db245 | MATLAB | 817 | 25 | function shamTrials = createShamTrials(delays, repFactor)
%CREATESHAMTRIALS creates an array of sham trials.
% Arguments:
% delays - an array of delays [default: 1.25:5.25]
% repFactor - replication factor
%
% Creates a sham trial (trial with a NullStimulus) for every delay in
% delays. Creates in total leng... |
e20f8acfb31e61d541d5f650ac509f5315b425b48fc8dac67babd5a88a45ede1 | MATLAB | 818 | 24 | filename='TCPTable.mat';
T = table();
paramBBN = table();
paramF = table();
paramGap = table();
paramFile = table();
pr = struct('speaker',[],'samp_rate',[],'trial_dur',[],'stime',[],'etime',[],'ramp',[],'att',[],'blockl',[]);
basedir='C:\Users\OWNER\Desktop\maestro_240416_32_chan\SoundFiles\Stimuli';
bfname='cloud_06-... |
0da105216a0295e2f0ea655bf47ad7be0d4a1fc6de9f38d5099e7c7caa9f04b1 | MATLAB | 819 | 26 | RP=actxcontrol('RPco.x',[5 5 26 26]);% starts the RP activeX control in MATLAB
invoke(RP,'ConnectRP2','GB',1); %connects an RP2 via USB or GB
e2=invoke(RP,'ClearCOF'); %Clears the Buffers and COF files on that RP
ee=invoke(RP,'LoadCOF','c:\ella\tdt\rpvds\testindices.rcx'); % Loads circuit('c:\example')
invoke(RP,'R... |
63daa13d95f4d007836cc0a5f3579f60e342743f457a2f5583707a9ef98f7ad9 | MATLAB | 819 | 22 | function sig= change_sweep_param_by_index(sig,comp,comp_index,varargin)
% CHANGE_SWEEP_PARAM changes sweep's fields of the given component to the given
% values and returns the updated signal.
% sig=CHANGE_SWEEP_PARAM(SIG,COMP,FIELD_NAME1,VAL1,FIELD_NAME2,VAL2,...)
% changes sweep's fields of the given component to the... |
19c5360036cc2f61c4976b108110432c869cf395723ef47d9db8e0e646d5e080 | MATLAB | 820 | 36 | %% Make IDX Variables
% dMUAdCOF
% Current adaptdcos figure 2 (or 3 I guess...)
% This runs in an old repository/archive. The goal of this code is to
% update it into the Modular Function Structure and create backup files on
% TEBA so it can be accesses, edited, and re-run anytime.
% exampleKLS_condCompare
% taken ... |
7707880c9c3333352e4000d3b0bd99bf8924133f89659cb6b691e0c98a28e05f | MATLAB | 824 | 23 | function samp_points=synth(sig,samp_rate,trial_dur,varargin)
% SYNTH is FREQ synth function.
% SAMP_POINTS=SYNTH(SIG,SAMP_RATE,TRIAL_DUR,VARARGIN) Samples the signal
% according to the givan SAMP_RATE and TRIAL_DUR. Returns the sampled
% points.
% varargin holds the requested Frequency value for FREQ signal. If vararg... |
d47a60addaad722ef286f2dfff088279034b7545557565bf79759491325f622e | MATLAB | 824 | 28 | function featurevector=calc_feat(d,fs)
%frequency
b0power= bandpower(d, fs, [0 0.5]);
b1power= bandpower(d, fs, [0.5 4]);
b2power= bandpower(d, fs, [4 12]);
b3power= bandpower(d, fs, [12 64]);
b4power= bandpower(d, fs, [64 fs/2]);
%spikes
q1 = quantile(d,0.05);
q3 = quantile(d,0.95);
lb = quantile(d,0.25) - 1.5*(quan... |
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