sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5229f64d10619f4efe5f147b85d510e1645dac153e931b0a034dcc89525d3b11 | MATLAB | 1,437 | 40 | function[rand_resp,pv_resp,som_resp,som_onsets,pv_onsets,ex_onsets,ex_resp,ex_type] = extract_onsets(cur_onsets,ds_events,d,ex_thresh)
pv_count=0;
som_count=0;
ex_count=0;
for o = 1:length(cur_onsets)
data=cur_onsets(o).data;
%dff=cur_onsets(o).dff;
rand_resp(:,:,o)=cur_onsets(o).randdata;
... |
659bc565ed4babaed9a274fc27dcc4f4aea867543d6727b35e4bab42c7369c1e | MATLAB | 1,437 | 46 | %Sample code
%Davor Curic, 2023, Complexity Science Group, University of Calgary
%
%This calculates the hilbert transform/phasespace representation of the
%data
tic()
load("mask.mat")
corticalPixels = find(mask == 1); %these are the pixels corresponding to the cortical surface
%load the recording
load('Sam... |
87950b98be1071ce811bf49494681d35352cdd28c01f0f9eedfd47a563edb2c7 | MATLAB | 1,437 | 39 | function[]=SONUpgradeToVersion6(fid)
% Obsolete function
% Upgrades SON file ADC and ADCMark data to SON version 6.
% File header date and time fields are not upgraded
% The file header creator field is set to 'MAT-TO-6' but only if it is '00000000' to begin with.
% IT IS RECOMMENDED THAT YOU BACKUP FILES BEFORE ... |
b3d6c9ef7b04714c3e178fe1ff6428a83ec57067a07a4758c7ccdc0b56920058 | MATLAB | 1,437 | 31 | % SONGETEVENTDATA returns the timings for an Event or marker channel
%
% Implemented through SONGetEventData.dll
%
% [npoints, times, levlow]=
% SONGETEVENTDATA(fh, chan, maxpoints, stime, etime{, filtermask})
%
% INPUTS: FH = file handle
% CHAN = channel number ... |
fffc7a0dc6fcb728435a8ddee7e9dc1a6fd10416f035c0ce87f9a136427f0ee9 | MATLAB | 1,438 | 58 | function [latencies,touch_idx,FR_prev_tmp]=Latencies(touches,touches_whisker,psth,do_plot,subplot_idx)
%this code assumes that the input is dk1 and dk2
counter=1;
upto=50;
latencies=[];
touch_idx=[];
FR_prev_tmp=[];
Ntrials=size(touches,1);
for trial=1:Ntrials
idx=find(touches(trial,:));
for t=1:size(idx,2)... |
1b7ed1a4bd05a251b443cc40ccb79dee356fda7a6325bd407b140c20b64402d1 | MATLAB | 1,439 | 57 | % quick and dirty plot of single leg trials for given fly
% load file first
% some params
% numTrials = 5;
whichTrials = 16:20;
numParams = 2;
numDurs = length(durs);
% numDurs = 1;
legInd = 1:6;
whichND = 1.3;
whichNDInd = find(whichND == NDs);
% number of rows and columns of subplots
numRows = numTrials;
numCols ... |
963a6ec83528f4707c0268a80a60b690b4283c50d3ffe73c80f14cc35ab830c9 | MATLAB | 1,440 | 68 | function [sigma,p] = returnCorrectSigma_sparse(ds,perplexity,tol,maxNeighbors)
%returnCorrectSigma_sparse is used by findTDistributedProjections_fmin.m to
%find the correct transition probabilities given a set of distances
if nargin < 2 || isempty(perplexity)
perplexity = 32;
end
if nargin < 3 ||... |
b40721bebf3a16876243322eb0903ef56aee24c575f598edb3a3e54654c58cfc | MATLAB | 1,440 | 34 | function [ Behaviors ] = circshift_triggers(Behaviors, BTA_seconds_before_and_after, fps, randomize, remove_edge)
% Shifts the triggers for each track randomly and removes any behavior
% transistions that are too close to the edge if the options call for its
if nargin<4
randomize = false;
end
if nar... |
92ec43cbd64fb3ea8f290dfbc99eb03413dc3298badfb9bf5661cc6b1b1d5906 | MATLAB | 1,443 | 38 | function ret=SONSetRealChan(fh, chan, sPhyCh, dvd, bufsize,...
comment, chantitle, scale, offset, units)
% SONSETREALCHAN creates real wave channel
%
% RET=SONSETREALCHAN(FH, CHAN, SPHYCH, DVD, BUFSIZE,...
% COMMENT, CHANTITLE, SCALE, OFFSET, UNITS)
... |
e496306d659ac978aea1f256abbfa04448339477ff280a8283fa5f8709e8df54 | MATLAB | 1,443 | 40 | % getCatStepVals.m
%
% Helper function for saveLegStepParamByCond_fly()
% Returns step values, as well as leg calls for selected amp and
% dur, given keys. Operates on single vectors
%
% INPUTS:
% stepValAll - vector of all step param vals, length n
% whichAmp - amplitude value to select for
% whichDur - duratio... |
06f65d8523f5cacb96fb7f59e5554194e484471f02f203fc819d94f721a104ef | MATLAB | 1,444 | 53 | %
% Plot one Lorenz curve.
%
% PARAMETERS
% p (e*1) Node indexes
% q (e*1) Multiplicities; [] to denote all ones
% b 1 for bare, else 0
% type One letter [auv]; determines the plot color
%
function lorenz_one(p, q, b, type)
font_size = 18;
colors = konect_colors_letter();
color_line = colors.(type);
color_fill... |
f3320c5a050270b95aac8edceeeaa96227a3aa25fcb3ce860cd5a56586482e8c | MATLAB | 1,444 | 41 | classdef CleanupGuard < handle
% Runs a task when it goes out of scope, unless it was disarmed first
%
% guard = webupload.CleanupGuard(@() delete(file));
% ... work that may fail or be interrupted with Ctrl-C ...
% guard.disarm(); % the work succeeded, the task is no longer wanted
%
% Pur... |
3434701fb45b9918504ce8fd992a5bca557bf276135ec861960d96dd7d22b932 | MATLAB | 1,445 | 50 | function M=find_motif34(m,n)
%FIND_MOTIF34 Motif legend
%
% Motif_matrices = find_motif34(Motif_id,Motif_class);
% Motif_id = find_motif34(Motif_matrix);
%
% This function returns all motif isomorphs for a given motif id and
% class (3 or 4). The function also returns the motif id for a given
% motif m... |
6b6553546acbc394536a0e52144b9e134b0e94411f52b077f32078cd8cf2dad1 | MATLAB | 1,445 | 37 | clear
%load F1s.mat
filenames = {'PFC4_15Hz_part11','PFC4_15Hz_part12',...
'PFC4_15Hz_part21','PFC4_15Hz_part22'};
radii = [3:7];
SNRs = [7:4:31];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] ... |
81246fb9b6ea5447aa58a46a22ef7343fd5cce4bbfe79a5b530c69bdb78e30f9 | MATLAB | 1,445 | 67 |
function ds_info=gen_dataset_info(ds_config)
if ds_config.use_custom_data
ds_info=gen_ds_info_custom_data(ds_config, ds_config.class_info);
else
cache_dir=ds_config.ds_info_cache_dir;
cache_file=fullfile(cache_dir, 'my_dataset_info.mat');
if ~my_check_file(cache_file)
ds_info=... |
d765ddc3b75365e32bc467ef212b210f2088e63d4d44561235c4fc064a79544b | MATLAB | 1,445 | 46 | %% Main Motion Censoring Function
function logical_removal_vector = power_2014_motion_censoring(FD_vector,DVAR_vector,FD_threshold,DVAR_threshold,skip,expected_contiguous_frame_count)
% Caluclate and combine the FD and DVAR removal vectors
FD_removal_vector = censor(FD_vector,FD_threshold);
DVAR_removal_vector = cens... |
94b8c114dc8a753a3062665f7e27d0ce94e6b49e78d1f840397d4be7c4ab8966 | MATLAB | 1,446 | 40 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
c22c419ab236a55075dc5de50a73bc0cbf7b6dd307304c732e39c094dc281b38 | MATLAB | 1,446 | 54 | function vl_help(topic, varargin)
% VL_HELP VLFeat toolbox builtin help
% VL_HELP('doc') displays the HTML documentation in MATLAB
% web-browser. VL_HELP('vl_function') displays the HTML
% documentation relative to the specified funtion. VL_HELP('topic')
% displays the HTML documentation relative to a particu... |
273651137dabbe7ae1fb2fffdf10e3dabeaa056056fee9372586c6b8724ee88f | MATLAB | 1,447 | 51 | function [sortRes, sizeRes] = sortFilterResponse(gaborBank, powerMapF)
%put powermap info in one-d vector
%get number of pixels in powermap
sizeTmp = 0;
for g = 1 : numel(gaborBank)
s = size(powerMapF(g).value);
sizeTmp = sizeTmp + (s(1) * s(2));
end %for g = 1 : numel(gaborBank)
tmp = zeros(sizeTmp, 6);
%init... |
fa730265b46c268389077c08208d31dc77d85649b268b455d21264d235b58d3f | MATLAB | 1,447 | 49 | function results = vl_test_printsize(varargin)
% VL_TEST_PRINTSIZE
vl_test_init ;
function s = setup()
s.fig = figure(1) ;
s.usletter = [8.5, 11] ; % inches
s.a4 = [8.26772, 11.6929] ;
clf(s.fig) ; plot(1:10) ;
function teardown(s)
close(s.fig) ;
function test_basic(s)
for sigma = [1 0.5 0.2]
vl_printsize(s.fig, s... |
e82fe43a291c73fe5f529815eb139278031f8324437f987c061a121204281030 | MATLAB | 1,448 | 37 | clear
%load F1s.mat
filenames = {'bma22_epm_part11','bma22_epm_part12',...
'bma22_epm_part21','bma22_epm_part22'};
radii = [6:1:10];
SNRs = [7:4:27];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,... |
1991d92f5a98068bf2a17a61d82d719afbbfe79ab9e062f99de6bae2f093c28d | MATLAB | 1,449 | 37 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q... |
2fb5e9d2d6dc9ada9ccf419966aeb211821cc6f1194a6fdc0ce08afb35b90735 | MATLAB | 1,450 | 40 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
459bb5db443efaf39861c74bf52784b458af4ae2bd9118ec6848722e9c051ead | MATLAB | 1,450 | 41 | function [shape] = read_ctf_shape(filename);
% READ_CTF_SHAPE reads headshape points and header information
% from a CTF *.shape teh accompanying *.shape_info file.
%
% Use as
% [shape] = read_ctf_shape(filename)
% where filename should have the .shape extension
% Copyright (C) 2003, Robert Oostenveld
%
% This fil... |
da3ab04dbe5aacfe11aa1fb781cc8a0bcbd348091b33d1ec85e8ac5534c21c89 | MATLAB | 1,450 | 37 | function [argout] = mxDeserialize(argin)
% MXDESERIALIZE reconstructs a MATLAB object from a uint8 array suitable
% for passing down a comms channel to be reconstructed at the other end.
%
% See also MXSERIALIZE
% Copyright (C) 2005, Brad Phelan http://xtargets.com
% Copyright (C) 2007, Robert Oostenveld ht... |
880841b589c1bd3153e14490821a750e1a240fa36a5b099ff5aeb2b133ff4202 | MATLAB | 1,451 | 51 | function [params, result] = ortho_sparse(params, W, w)
% Sparse DSS orthogonalization function
% Assumes that the projection vector has only few non zero items
% W = orthof(W) for symmetric dss
% w = orthof(W, w) for deflation dss
% W Matrix with projection vectors as rows. For deflation
% algorithm ... |
762f0bd00870225bd4541512e47384f7be22bc2ff3ba1857d3b5d848d1234384 | MATLAB | 1,452 | 51 | function width = fwhm(x,y)
%
% Full-Width at Half-Maximum (FWHM) of the waveform y(x)
% and its polarity.
% The FWHM result in 'width' will be in units of 'x'
%
%
% Rev 1.2, April 2006 (Patrick Egan)
% Rev 1.3 Mei 2019 (Muhammad Mahdi Ramadhan, Universitas Indonesia)
y = y / max(y);
N = length(y);
lev50 ... |
8fc52b1618a1ccd8f3151b83ae66b071cc2c9c0202aeedc3df7fcc41a8f81fae | MATLAB | 1,452 | 59 | function [averageMap, rotSeqRec, rotSeqVal] = ml_compute_best_map_rot_sequence_and_average(pmSet)
nMaps = size(pmSet,3);
if nMaps == 0
averageMap = [];
rotSeqRec = [];
rotSeqVal = nan;
return
end
R = nan(nMaps, nMaps);
rho = nan(nMaps, nMaps);
for iMap1 = 1:... |
0f8988dca36439195c8f54d105dfb49e89b05280c0dabe2c9b29219ff7f77653 | MATLAB | 1,453 | 46 | function [quality] = ml_cai_quality_all_one_led(t, x1, varargin)
p = inputParser;
p.CaseSensitive = false;
check_t = @(x) isnumeric(x);
addRequired(p, 't', check_t);
check_x1 = @(x) size(x,2) == 2 && isnumeric(x);
addRequired(p,'x1', check_x1);
N = length(x1);
addParameter(p,... |
a3953235cd6375b00dfec286d004f34d9e4022665a47c864bca8ffeb60ffada6 | MATLAB | 1,453 | 49 | % getExptName.m
%
% Helper function called by computePData_trial.m that turns full trial path
% into an experiment name struct, with fields for the date folder, fly,
% fov, and trial, as well as for the full name of the experiment.
%
% INPUT:
% trialPath - full trial path, as string
%
% OUTPUT:
% name - struct co... |
af802c2ee5b294183e8de2ff552b8a3fc5491ca26305d80ce9b94c7603fca0d1 | MATLAB | 1,453 | 44 | % mglEatKeys.m
%
% $Id$
% usage: mglEatKeys(keyCodes)
% by: justin gardner
% date: 1/29/09
% copyright: (c) 2009 Justin Gardner (GPL see mgl/COPYING)
% purpose: starts eating keypresses (i.e. the sent in keycodes
% will no longer be sent to the terminal window. This can be
% ... |
45ae5801a4faeafca0d22a583600e4bff8075ddd4dae29b789ad9f97a469f316 | MATLAB | 1,454 | 65 |
f_outcomes= nan(1,length(fixed_outcomes));
for i = 1:length(fixed_outcomes)
f_outcomes(i)=fixed_outcomes(i).overall;
end
sorted_outcomes=cell(1,6);
sorted_idx=cell(1,6);
divided_outcomes=cell(1,6);
leg=cell(1,6);
br= 32752;
for i = 1:6
init= ((i-1)*br)+1;
divided_outcomes{i}=f_outcomes(init:br... |
2591726248bf453084f901d2d611489f74c155b69bbd3caa0e3f50e5a17d233a | MATLAB | 1,455 | 61 | function stimchans = networktestOneMS(pairs, ntrials)
cerestim = BStimulator();
connx = connect(cerestim);
if connx < 0
error('Can''t connect to cerestim')
end
c = onCleanup(@()cleanupfunction(cerestim));
pause on
res = configureStimulusPattern(cerestim, 1, 'AF', 1, ...
7000, 7000, 500, 500, 100, 53);
res... |
9129db62fc81da124f6a732d337d3c0cbe6865ca213bdf8f3caebdec76c80ee9 | MATLAB | 1,455 | 48 | function [x1,x2]=vl_witps(xp1,xp2,Y,Yp)
% VL_WITPS Inverse thin-plate spline warping
% [X1,X2]=VL_WITPS(XP1,XP2,Y,Yp) computes the inverse thin-plate spline
% (TPS) warp of the points XP1,XP2.
%
% Remark::
% The inverse of a thin-plate spline in general is NOT a
% thin-plate spline and some splines do no... |
419e84a673675fe33187964cd923c1c53bcdc01ce9a70fbd09d714ed4edd00d2 | MATLAB | 1,456 | 46 | function [s] = getsubfield(s, f)
% GETSUBFIELD returns a field from a structure just like the standard
% GETFIELD function, except that you can also specify nested fields
% using a '.' in the fieldname. The nesting can be arbitrary deep.
%
% Use as
% f = getsubfield(s, 'fieldname')
% or as
% f = getsubfield(s, 'fi... |
4f20b347d4fffbdbdb7574c45241c08cbf14d508799f7240d11e52c7b0cdc655 | MATLAB | 1,456 | 57 | % sankey demo8
% -----------------------
% @author : slandarer
% 公众号 : slandarer随笔
% 知乎 : slandarer
figure('Name','sankey demo8','Units','normalized','Position',[.05,.2,.5,.56])
% 随机生成数据(Randomly generated data)
clc;clear;
SourceValue=randi([1,30],[1,9]);
LayerNum=[9,6,4,7,10];
links{1,3}='';
for k=1:4
Target... |
992f5f85712896938cc83466ce5eec399024ac0419108ab5c8fbe5c4697701e1 | MATLAB | 1,456 | 40 | function [ Kappa ] = draw_lcurve_median( Lambda, regularization, consistency, fig )
% Draw the L-curve in log domain.
% Curvature is calculated in the log domain. Then, it is filtered by a moving median.
% Both curvature estimations are plotted (raw = blue, filtered = red) as function of Lambda.
% This function outputs... |
e12c5c3ce0c0f82f103023e6f1d0c529c07c0a2eaca0bb1b65f51de18c196d45 | MATLAB | 1,456 | 66 | %
% Compute a spectral statistic. A spectral statistic is one that
% depends on the rank-r spectrum (and not just on the first or second
% eigenvalues).
%
% RESULT
% values Column vector of values
%
% PARAMETERS
% D (r*r) Eigenvalues or equivalent
% statistic
% n Number of nodes
%
function values = statistic_sp... |
0d9dd93a93bd11cd0b4ae3c5b3b77494999f8e79ed04e1ddaf76348dec61b739 | MATLAB | 1,457 | 42 | function [v, vind] = ml_core_max_pixel_rotated_pixel_cross_correlation_180deg(T1, T2, varargin)
p = inputParser;
p.CaseSensitive = false;
checkmatrix = @(x) isnumeric(x);
addRequired(p, 'T1', checkmatrix);
addRequired(p, 'T2', checkmatrix);
% By default use all of the matrix entries
ch... |
6e45f7c38b8557839f966617fc7217811f3be6af59b341f9b8a0cbf333c04382 | MATLAB | 1,457 | 37 | clear
%load F1s.mat
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K',...
'Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [7:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs... |
088b8cd4b53905586b424d6da03a358c54a8dc2d041909a78a95dca9fb779175 | MATLAB | 1,458 | 32 | function [sorted_value,sorted_idx] = sort_heatmap_data(data_to_be_plotted,begin_index,end_index,parameter,sort_order,comparision_method)
% [sorted_value,sorted_idx] = sort_heatmap_data(data_to_be_plotted,begin_index,end_index,parameter,sort_order,comparision_method)
% This function will sort the imagesc data. dat... |
1f1c16f2b78bebb77b4cf10193a5990f831b4d7283ea0a772a51e7d660fa3263 | MATLAB | 1,458 | 59 | function []=inspect_intensity(outliers,cell_ids,intensities,centroids,flatindentities,info,identities)
% use this function to look at cells of interest or the spectra of outliers
% in general
titleaddon=[info.mouse,' ',info.date,': ','Outliers Below Threshold']
leg=cell(length(outliers)+2,1);
for i = 1:length(ou... |
4ba046a476c4f256ffdf9301a439e853288ff4642dfa9822b1d6f71f8d056595 | MATLAB | 1,458 | 48 | function plot_and_save_cellreg_placemaps(obj, session)
placemapDatabaseFilename = fullfile(session.getAnalysisDirectory(), sprintf('%s_placemaps.mat', session.getName()));
% All of the cell ids stored in the placemap database are local to the trial
placemapData = load(placemapDatabaseFilename);
uniqueCellIds = uniqu... |
ec72d544cca89153ad7e044539cef0eee00638059524876714a4013982084e6f | MATLAB | 1,458 | 47 | % get pathway current and
pc = getPC(v,g);
interestPC = pc(5,:,:,:);
[head,tail] = period(r(5,150001:200000,:),false);
axlabels = {'1L2/3e','1L2/3i','1L4e','1L4i','1L5e','1L5i','1L6e','1L6i', ...
'2L2/3e','2L2/3i','2L4e','2L4i','2L5e','2L5i','2L6e','2L6i'};
cond = 4;
strt_prd = head(cond)+150000;
end_prd = tail(c... |
c1d33967480b5db86a73fb2a6863cc4f6d88da57caa1cb3e6a459e06c4f035c8 | MATLAB | 1,459 | 41 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
c64cb0c24b528ace6c317c6d63c97c389d02452e4bc78f426cc02d996a4850fe | MATLAB | 1,459 | 59 | function lab= convertLab(lab,nlab)
lab=char(lab)
for i=1:nlab
ilab=lab(i,:);
%ilab(ilab=='_')=[];
ind= strfind(ilab,'FC_');
ilab(ind:ind+2)=[];
ind= strfind(ilab,'norm');
ilab(ind:ind+3)=[];
ind= strfind(ilab,'_DMN');
ilab(ind:ind+4)=[];
ind= strfind(ilab,'DMN_');
ilab(ind:... |
ddf26f097648a4695d25530e1f887fbc24ed39bdbef15f1b94e947ebb9c76e35 | MATLAB | 1,459 | 50 | % File Array Object
%
% file_array - create a file_array
% horzcat - horizontal concatenation
% vertcat - vertical concatenation
% size - size of array
% length - length of longest dimension
% subsref - subscripted reference
% end - last index in an indexing express... |
253adea30befa3a17930fd872ff3314e7d2e730dc7d4158f2f6e5476246e7d0e | MATLAB | 1,460 | 51 | function ShowImageCell(imageCell, n, m, figurename, imageNames)
% ShowImageCell(imageCell, n, m, figurename, imageNames)
%
% Generate a figure with thumbnails of the images in the imageCell.
%
% imageCell: Cell array with images which can be displayed
% with imshow.
% n: ... |
d7db5c64bab2c24da8646ae80e81f43e25188e4cceea2425d58dea701eb24897 | MATLAB | 1,460 | 41 | function varargout = spm_bwlabel(varargin)
% Connected component labelling in 2D or 3D - a compiled routine
%
% FORMAT: [L,NUM] = spm_bwlabel(bw,conn)
%
% The calling interface has been modelled on the
% image processing toolbox routine bwlabel. See
% the help for that routine for further information.
%
% Input:
% b... |
961e359ac3b64678466c7e22d56ed06ecf9de3c6bb4034eefa3d7669b2053207 | MATLAB | 1,461 | 50 | function sn = GetSn(Y, range_ff, method)
%% Estimate noise standard deviation
%% inputs:
% Y: N X T matrix, fluorescence trace
% range_ff : 1 x 2 vector, nonnegative, max value <= 0.5, range of frequency (x Nyquist rate) over which the spectrum is averaged
% method: string, method of averaging: Mean, media... |
3ccc0b2ba6f52ef0adbeb0d9e68816fb379dd478677c5e31e9579c108c412e3b | MATLAB | 1,462 | 46 | function [conjugate_profile] = conjugate_vrot_transform(profile )
% Function transform the rotational profile to the profile with cojugate
% rotational axis
%
% Input: profile = Rotational velocity with N*3, where N is the length
% of the profile, 3 is the three anatomical directions(X,Y,Z).
%
%... |
c20068eab40b6062977a680a7f6694aeb86d95ad5e9f32587487ff17a96693ad | MATLAB | 1,462 | 47 | function dspec = addCovariateTiming(dspec, covLabel, stimLabel, desc, varargin)
% Add a timing covariate based on the stimLabel.
% dspec = addCovariateTiming(dspec, covLabel, stimLabel, desc, basisStruct, offset, cond, plotOpts);
%
% Input
% offset: [1] optional/default: 0 - number of **time bins** to shift the
% reg... |
299f1027d14cf13c7489d67c8438e5e37c9315b7edd701a9f5dc8f62bf86c630 | MATLAB | 1,465 | 51 | % sankey demo3
% -----------------------
% @author : slandarer
% 公众号 : slandarer随笔
% 知乎 : slandarer
figure('Name','sankey demo3_1','Units','normalized','Position',[.05,.2,.5,.56])
links={'a1','A',1.2;'a2','A',1;'a1','B',.6;'a3','A',1; 'a3','C',0.5;
'b1','B',.4; 'b2','B',1;'b3','B',1; 'c1','C',1;
'c2... |
7094501d8a5c1a0757abacc82fa7f4eb91708892aa3c3aefdc6fcc58da314b05 | MATLAB | 1,465 | 38 | function ret=SONSetWaveChan(fh, chan, sPhyCh, dvd, bufsize,...
comment, chantitle, scale, offset, units)
% SONSETWAVECHAN creates an ADC channel
%
% RET=SONSETWAVECHAN(FH, CHAN, SPHYCH, DVD, BUFSIZE,...
% COMMENT, CHANTITLE, SCALE, OFFSET, UNITS)
%
... |
b23de7751b97a5000c30f0330d0b35199f09aed04708c8b0476699aeddb509fd | MATLAB | 1,465 | 56 | %{
Produce sample dFC(t) and LE(t) to visualize for the methods description.
Output:
dFC.csv Contains the sample dFC(t).
LE.csv Contains the sample LE(t).
%}
%Define command line arguments.
function [] = methods(subject)
%Set up I/O.
infile = append('../outputs/r_meants/',subject,...
'/demean_rfMRI_RE... |
e6abc17f35571289602e6a7e4a3d1183f96d19b57a4a91527ee2495518f6f32b | MATLAB | 1,465 | 65 | function [] = ExtDataFig10_Connectivity_ToMN()
% Code for making the color plot of synaptic output to motor neurons in Extended Data Fig. 10g.
%% parameters
pIP10 = [13417,13038]; % pIP10 (L, R)
pMP2 = [11977,11987];
dPR1 = [10267,10300]; % dPR1
TN1A = [15521,16465,15148,12883,16207,...
16113,14581,14810,15387,176... |
3d13ac41052baceb55e77b8323f4e96d18d67561fa13b3ae338727dd255dacbd | MATLAB | 1,467 | 52 | function R=randmio_dir(R, ITER)
%RANDMIO_DIR Random graph with preserved in/out degree distribution
%
% R = randmio_dir(A,ITER);
%
% This function randomizes a directed network, while preserving the in-
% and out-degree distributions. In weighted networks, the function
% preserves the out-strength but not th... |
66d4fd85f85643681cbbd37479dd1279a876e823e1feebe455de581f8f0d480b | MATLAB | 1,467 | 59 |
function my_clear_net_trn(net_config)
cnn_update_net_group(net_config, @do_clear, []);
end
function one_group_info=do_clear(one_group_info, opts)
net_info=one_group_info.net_info;
if isempty(net_info)
return;
end
for i=1:numel(net_info.ref.layers)
if strcmp(net_info.ref.layers{i}.type,'conv')
... |
0bb96c920655b51f5770e06e0ecb9beb0e0ebed78e38756558ed4d6f427adf38 | MATLAB | 1,468 | 47 | function [dp, dpAvg] = ml_alg_popvectors_compute_correlations(maps1, maps2)
% Marc Normandin.
% maps1 and maps2 are (map_height, map_width, num_cells) 3D arrays.
% This was based on the code using normalized vectors, and switched to
% vectors whose mean is subtracted.
if ~all(size(maps1) == size(ma... |
5d232b5d0d6e4f05f60332909bba669fcbf9e6c2a7ba5aa0e3c67ad895c71f37 | MATLAB | 1,468 | 31 | % SONGETEVENTDATA returns the timings for an Event or marker channel
%
% Implemented through SONGetEventData.dll
%
% [npoints, times, levlow]=
% SONGETEVENTDATA(fh, chan, maxpoints, stime, etime{, filtermask})
%
% INPUTS: FH = file handle
% CHAN = channel... |
7c6388d4d566dfb20ddbcb92dd6fe6a3609ba5261f0364702a1af11156429b13 | MATLAB | 1,468 | 38 | function dip = ft_datatype_dip(dip, varargin)
% FT_DATATYPE_DIP descripts the FieldTrip MATLAB structure for dip data
%
% The dip structure represnts a dipole model that has been fitted to
% ERP or ERF data using a non-linear optimization approach. It is
% typically obtained from the FT_DIPOLEFITTING function.
%
% FI... |
1b8f83bc81735905d97a25076df1db6b316d272399fe97d32315e37db940330e | MATLAB | 1,469 | 53 | %
% Compute a spectral network statistic over time on either the full or the split dataset.
%
% PARAMETERS
% $NETWORK The network; must have timestamps
% $STATISTIC The statistic
% $DECOMPOSITION
% $TYPE The data to use, "full" or "split"
%
% INPUT
% dat/info.$NETWORK
% dat/stepsi.$NETWORK (only full)
% dat/steps.$... |
91e851adbe1eab45be76155f36379e3ff544f4d196f51932cb76a333594e93b7 | MATLAB | 1,469 | 46 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = plot_per_group_animal_averaged_rate_difference_matrix_table(T, RATE_MATRIX_CLIM)
%T = compute_per_day_animal_averaged_rate_difference_matrix(DaysToSessions, RateMatrices, perCellNormalizationMethod, perAnimalNo... |
b8082c219ca2d0db96707dc1a0d6bfb8deb72fe0d7e386d2acacbe0b4c659c33 | MATLAB | 1,469 | 38 | addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
%%
% folder of the GT Masks
dir_parent=fullfile('..','data','data_TENASPIS','added_refined_masks');
% name of the videos
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
vid=1;
Exp... |
c37a3d376358da427e82864a83e456e67a765a80a31a862c74f63b271cfa6ab5 | MATLAB | 1,469 | 48 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also computes useful
% sparse matrices for GMRES speed up
%
% Copyright SNM/WAW 2017-2020
%% Add path (Windows/Linux commands are different)
s = pwd;
if(~isunix)
slash = '\... |
2b7c086e74117b098085c50e3c866b5078714542091cd77ca18a2f6d9635e523 | MATLAB | 1,470 | 47 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also computes useful
% sparse matrices for GMRES speed up
%
% Copyright SNM/WAW 2017-2020
%% Add path (Windows/Linux commands are different)
s = pwd;
if(~isunix)
slash = '\... |
059e962d2185acdbc6d659e46f44f6c04b7048b2b21ea200fb9dcf9cfd30a4cf | MATLAB | 1,471 | 45 | % getSpikeRateSteps.m
%
% Function that returns spike rate during each leg step. Can specify delay
% between spikes and behavior (spike rate x sec before or after step).
% Spike rate computed as number of spikes during step divided by duration
% of step in seconds.
%
% INPUTS:
% spikeTimes - times (in sec) when all... |
379381372d36b2770679aab17339c37414977e9c4a3bee45ea7f9f82506d26ec | MATLAB | 1,471 | 60 | % VL_DEMO_KMEANS_INIT
if 0
I = vl_imtest('box') ;
[f, d] = vl_dsift(single(I) / 255, 'step', 1, 'size', 3) ;
X = double(d) ;
numCenters = 300 ;
else
X = [] ;
numCenters = 40 ;
for i=1:numCenters
X_ = randn(10,100) ;
X_(i) = X_(i) + 100 ;
X = [X X_] ;
end
numCenters = numCenters * 2 ;
end
... |
fc2e1e02b1e65a7b849d0f461b289b4ea64fa2919ecff139830df914b2198f7b | MATLAB | 1,471 | 50 | % produce MePD output calculation on beta1 x Kp space
clearvars; clc;
addpath("C:/Users/kn356/OneDrive - University of Exeter/Desktop/StandardMATLAB")
load("colour.mat")
addpath("C:/Users/kn356/OneDrive - University of Exeter/Desktop/StandardMATLAB/MePD")
load("par.mat")
par.d=0.05;
p1 = [0 , 7];
p2 = [0, 1]... |
834ce64267ee07e3b8c802f9ef745a883f3f3beab86ec1961855d2336fb70ca8 | MATLAB | 1,473 | 39 | function features = CSPFilter(eeg,cspw,csp_para)
%
% extract features from an EEG data set using the Common Spatial Patterns (CSP) algorithm
%
% Input:
% eeg: the EEGSignals from which extracting the CSP features. These signals
% are a structure such that:
% eeg: the EEG signals as a [Ns * Nc * Nt] Matr... |
ed0e5b3a86e36573e2d8d8be3c25b5a06e6119674606ff5fd65649ad15421102 | MATLAB | 1,473 | 37 | function [argout] = mxSerialize(argin)
% MXSERIALIZE converts any MATLAB object into a uint8 array suitable
% for passing down a comms channel to be reconstructed at the other end.
%
% See also MXDESERIALIZE
% Copyright (C) 2005, Brad Phelan http://xtargets.com
% Copyright (C) 2007, Robert Oostenveld http:/... |
ed8b5135d5959439203ae3e529862f5ecb01a1df87cb6d2702044043b701786b | MATLAB | 1,473 | 60 | function fig_pos=aedes_dialoglocation(figure_size)
% AEDES_DIALOGLOCATION - Returns a good location for a dialog window
%
%
% Synopsis:
% fig_pos=aedes_dialoglocation([figure_width,figure_height]);
%
% Description:
%
%
% Examples:
%
% See also:
% AEDES
% This function is a part of Aedes - A g... |
3ce2a6a9a97956c982c42a56922665832c1ac6e7f0c208db09984b4bc98ade48 | MATLAB | 1,475 | 47 | function devices=getDevices
% devices=getDevices - gets device numbers for KbCheck;
%
% Usefull for getting a summary of device numbers.
% These device numbers are needed for an input argument for
% KbCheck if you have more than one connected (otherwise
% it will pick the first one).
%
% Also tries to determine whet... |
7aa87d9284e940a0795dd534ff465afb4d99dc91954d89f97da22a6da07dfb89 | MATLAB | 1,475 | 44 | function [selectedVoxels, ve] = selectVoxelsFromPRFVarExpl(paramsROI, roiOrder, combROIs, thresh)
if isempty(thresh) || ~exist('thresh','var')
thresh = 0.1;
end
% Get nr subjects and rois
[nrSubjects, nrROIs] = size(paramsROI);
% Preallocate space
selectedVoxels = cell(nrSubjects,nrROIs);
ve = selectedVoxels;
... |
c92dd8f3fbf62e871b2c1000423feb782d407aab5b3c139642c6989cc44b4050 | MATLAB | 1,475 | 43 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
8775d0e60a39023614a5a848dcb684d2d30f411c06fc1d3bae8c691d938c434d | MATLAB | 1,476 | 40 | function demean(subj,r)
% This function is demeaning. Type in the subject and run number and it
% will demean all of the cue files for the parametric regressors.
% Afterwards, you have to get it back to Istart analysis, into the EVfiles.
maindir = pwd;
path = ("pmod/" + "sub-" + subj + "/");
data = (path + "sub-" ... |
f5e9616c165bd521c82b7329dbd4ee7810ce8609406eace5a76445a91393f73d | MATLAB | 1,476 | 48 | function [] = Fig02_QtoP_dPR1TN1A()
% Code for plotting the mean change in ΔF/F after quiet-to-pulse transitions relative to ΔF/F before the transitions in Fig. 2e,h.
%% Song-type preference index (dPR1, TN1SG)
load(['../Data/Summary_dPR1/QtoPIndex'])
Idx_QtoP_dPR1 = Idx_QtoP;
load(['../Data/Summary_TN1SG/QtoPIndex']... |
46cc13235af36debfc95ade0a8d4c6b8e38d4fa2ec8ab5e42e7534b50c2ea664 | MATLAB | 1,477 | 40 | %% checkBehavior.m
% % structure with organization: stim(1:2).pos(1:15).perf
% c = struct('perf',[],'overallPerf',[]);
% [c(1:25).perf] = deal([]);
% stim = struct('cond',{'Inverted' 'Upright' 'Blank'},'pos',c);
%
%
% if ~isempty([perf.hitTr]) % if performance is 0, we assume that this run is just a scanner error, and... |
586c8f80e5d7a7cb27e02d582b0d268d0b6a8270f0fe616080f745325febe3c0 | MATLAB | 1,477 | 37 | clear
%load F1s.mat
filenames = {'blood_vessel_10Hz_part11','blood_vessel_10Hz_part12',...
'blood_vessel_10Hz_part21','blood_vessel_10Hz_part22'};
radii = [3:7];
SNRs = [7:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*lengt... |
ebbd893dc921c002b567252e0644d157a6db9914fb9d447d2f1e68490f96026e | MATLAB | 1,478 | 34 | function E = bemf4_surface_field_electric(c, Center, Area, eps0, SN, iintegralx, iintegraly, iintegralz)
% Computes true continuous electric field on a surface facet due to
% charges on ALL OTHER facets including accurate neighbor integrals.
% Self-terms causing discontinuity may not be included
%
% Copyri... |
3c4108104d04a6d464e33829984c0d01af0aeff11bd26e64792702298b0aedce | MATLAB | 1,479 | 42 | function loadWearables( obj, path, filenames )
% LOADWEARABLES Load wearables signal from external sensor
%
% Syntax:
% LOADWEARABLES( obj )
%
% Input parameters:
% obj
%
% Example:
% LOADWEARABLES( );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andreia M.... |
caf8df0ddba9805c7651fd0a253dfe2f15e76d5a77da733ded8c127247acbea6 | MATLAB | 1,479 | 35 | function keycode=mglCharToKeycode(keyname,returnAllMatches)
% keycode=mglCharToKeycode(keyname,<returnAllMatches>)
%
% Returns the keycodes of a (list of) keynames
%
% INPUT
% keyname : cell array where each entry is a key name string
% e.g. keyname = {'h','g' '1'}
% Special keys:
% On L... |
84b1de690e37f075a96d4f725a7081b13a560ff14030f034ae86a0440444e2d4 | MATLAB | 1,480 | 27 | function [] = C3_indiv_ROI_RFT(ROI_num)
% find the best ROI for each subject
saveFolder = 'Z:\MATLAB\Perceptual_Load\FieldTrip\Results\group_level\';
load([saveFolder 'RFT' filesep 'TFR_all_subs_nl_pow_RFT.mat'])
load([saveFolder 'RFT' filesep 'normalized_cue_dist_diff_RFT.mat'])
load([saveFolder 'RFT' filesep 'comb_... |
8d24309d428c970abaa971d9272fc676ed214669c39e6b4c0d008a859d43c22b | MATLAB | 1,480 | 42 | function [probe] = reorientModules(probe)
%REORIENTMODULES Finds a path between digraph and orients modules to it
% Finds a path between all modules using the digraph. It then reorients
% all modules to align with the path. Orientation does not take into
% account the current module's orientation. Rather, it find... |
14e1874efdfd68c2767130c303b9fee5c131f854a681b5909d6ba082bd5562d4 | MATLAB | 1,482 | 52 | function [R2_same_dir,SIstd,SIall]=R_same(score,idx_dir,idx_duration,ndim,normalised_t)
%% R2_same calculates the coefficient of determination between trajectories
%% of same directions
%
% INPUTS
%
% score: Projection of the neural activity into the subspace. Rows are
% samples, columns are neurons
%
% idx_d... |
baa2fc85f250c1a628b123b5118be65b37e836cf33c739561ce445aedbe9c25e | MATLAB | 1,482 | 43 | function make_model_based_env(handles)
%% Internal variables
fs=filesep;
env_folder=[handles.env.path_gagui fs ...,
'connectotyping' fs,...
handles.func_data_name fs,...
handles.env.group];
mkdir(env_folder);
change_permissions(handles,env_folder)
n_parcel=length(handles.mc.surv_parcels);
n_ar=handles.conn... |
a328c12fec8bfd223f7c681be7e6b1a693981ff989697ce321d69746125a4efe | MATLAB | 1,483 | 40 | classdef RECORDINGMODE_COMMONMETHODS < handle
% Object with properties and auxiliar methods to analyse PerceptPC json data at NCN lab
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andreia M. Oliveira, Eduardo Carvalho, Beatriz Barros, Carolina Soares, Manuel Ferreir... |
468951648aaba0eedbb3cff4bc690b78bfc7326122a78034cb4412d7c204d56b | MATLAB | 1,484 | 56 | % normAutoCorrWNan.m
%
% Function to compute normalized autocorrelation (Pearson's linear
% correlation coefficient) while ignoring NaNs (using 'Rows', 'pairwise'
% option of corr() - rho(i,j) is only computed when (i,j) lacks NaN).
% Output is 1-sided under assumption that input data is real and therefore
% autocor... |
4e7de0f07dec6481f6475bf72722e87c13783317ce10de79dab160dfa8417718 | MATLAB | 1,484 | 52 | %% SPATIAL RECONSTRUCTION for 36 maps
clearvars -except results pcadata
close all
% Define directories and load mask
results = '/results';
pcadata = '/ICA';
load('boundarymask.mat')
% Load individual PCA
load(fullfile(pcadata, 'boundarymask_Mus_indPCA'));
CoeffM = Coeff; clear Coeff
load(fullfile(pcadata, 'boundarym... |
c6b2244406904d8418a60599f383abeb716c3d51027907bf59e5ff63ddfa921b | MATLAB | 1,485 | 41 | function rmin = matrix2distance(aij, esoz_map)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseudo-prospective study."
% medRxiv (2023): 2023-03... |
008fd93c3b7901be7fbe0cde1228119f21bf083aaeb010e6e70ac2a1ea233a13 | MATLAB | 1,486 | 66 | clear;
close all;
clc;
initime = clock;
addpath('funcs');
Delta_e = 0.015; % 0.3
Delta_i = 0.048; % 0.04
Iattn = 0.02;
time = 10000;
maxFreq = 60;
[r,v,~] = once(Delta_e, Delta_i, Iattn, time);
%% fft
sigC = squeeze(r(5,300000:end,:));
sig0 = squeeze(r(5,50000:100000,1));
% sig = sig';
Fs = 100000; % ... |
733ef4d255ccab4588515c7cd1d5f9f92a4c5da823ac7d8f40d1ea62ee5d10d7 | MATLAB | 1,486 | 49 | function [r] = ml_util_minimum_bounding_box(tx, ty)
k = convhull(tx, ty);
% Find the minimum rectangle
% For every pair of points, compute the min and max in each dimension
% after projecting
numK = length(k);
numP = length(tx);
kx = tx(k);
ky = ty(k);
A = cell(numK-1,9);
for k ... |
f948beb1e276722adf155447bb6a3c36340fb177830062f8f4df5d61b27e1ffb | MATLAB | 1,486 | 42 | % This function opens a file and reads the data from a waveform channel as 32-bit floats. Then downsamples the data and saves it to a new file. It does not alter the orignal data.
% clear workspace
clear;
% add path to CED code
if isempty(getenv('CEDS64ML'))
setenv('CEDS64ML', 'C:\path\to\your\folder\CEDS64ML');
en... |
89877f9c9e13628e9166b1acd2fb2fc4d7bbc3d3821dba30116a3f6f05de9a95 | MATLAB | 1,487 | 35 | function core_tracker_compute_features(output_feature_file_name, output_features_csv_folder_name, output_jaaba_folder_name, ...
input_video_file_name, input_tracking_file_name, calibration, ...
options)
%... |
b217e6b8196607a01227c4d93ceae07db05f53ab6d7005aead103a719ecda408 | MATLAB | 1,488 | 59 | %% calculate the heritability of morphological similarity
path = pwd;
Output_path_data = [path '\VBM\handle'];
Output_path_h2 = [path '\VBM\result'];
mkdir(Output_path_data)
mkdir(Output_path_h2)
mkdir([path '\VBN\temporary'])
%% data reorganization
load twin_edge_data_VBM.mat
Netpara =twin_data;
tmp = zeros(3,size(Ne... |
cbd7b3bb13c7355677b2950681c12fa4d10642df5c533707939410f995179897 | MATLAB | 1,488 | 79 | % script for quick plots of average leg steps, FicTrac, iInj data
datPath = '/Users/hyang/Dropbox (HMS)/EphysAnalysis-Helen/AnalyzedData/220913_iInj';
%
datNames = {'220912_fly01'};
legInd = [1 2 3 4 5 6; 1 2 3 4 5 6];
durInd = 1; % 0.5 s
ampVal = 100; % amp = 1.3
phaseInd = 1; % stance
varName = 'stepLengths';
yS... |
84449b919c5e35e2923106b71e38aa3738da204b68a8c6b9cb06ff6536db0065 | MATLAB | 1,489 | 44 | function [VIn MIn] = partition_distance(Cx,Cy)
%PARTITION_DISTANCE Distance between community partitions
%
% This function quantifies the distance between pairs of community
% partitions with information theoretic measures.
%
% VIn = partition_distance(Cx,Cy)
% [VIn MIn] = partition_distance(Cx,Cy)
%
... |
7340f46f57028a5271158e1dbd00fc41f2d6639e662fc9af65ae729b1729593d | MATLAB | 1,490 | 32 | function [ text ] = getDeviceInformation( obj )
% Display information about device.
%
% Syntax:
% GETDEVICEINFORMATION( obj );
%
% Input parameters:
% * data - data from json file(s)
%
% Example:
% GETDEVICEINFORMATION( );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andreia... |
7bed887d811551a51d35403319480f459802e3664c4eda86c238c215586a727c | MATLAB | 1,490 | 46 | % sankey demo4
% -----------------------
% @author : slandarer
% 公众号 : slandarer随笔
% 知乎 : slandarer
figure('Name','sankey demo4_1','Units','normalized','Position',[.05,.2,.5,.56])
% 流入及流出数据不相等(Unequal inflow and outflow data)
links={'a1','A',1.2;'a2','A',1;'a1','B',.6;'a3','A',1; 'a3','C',0.5;
'b1','B',.4;... |
f17b5a5af4d39dc71ea7066aa5c4b2ea3ebeb711a5831a688270b431e5e3f2f5 | MATLAB | 1,490 | 38 | function OutputSignal = WB_Butter_Filter(CurrSignal,Fs,Feq_Cutoff,Butter_Char)
%% To get the filtered signal.
% Input:
% CurrSignal:Input signal
% Fs: sample frequency of given signal
% Feq_Cutoff:
% when Butter_Char = 'low'
% For low-pass fileter: cutoff frequency... |
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