sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a875adde1037f18c70bfdbbcf42ffce0539c5393db781197bc6efc1b9fd1e993 | MATLAB | 2,829 | 69 | function hFigWav = plotSpikeWaveforms(hFigWav, hClust, maxAmp, channel_idx)
%PLOTSPIKEWAVEFORMS Plot individual waveforms in the main view
showSubset = hFigWav.figData.showSubset;
[XData, YData, showSites] = deal(cell(numel(showSubset), 1));
hCfg = hClust.hCfg;
nSpikesCluster = zeros(numel(showSub... |
9dfbe48b7823ef870002ab49368343c3b17093950373e32f9c73ad75aaaec770 | MATLAB | 2,832 | 87 | % *************************************************************************
% * Test program for calculating popular phase related quantities, i.e. *
% * Phase Shift (PS), Phase Lock (PL), Phase Reset (PR), Phase *
% * Difference (PD) and Instantaneous Frequency (IF) in SINGLE or *
% * MULTI-Channe... |
e82fc8c7cda934160580e9ce7ff873d476f76f218c4c1be6279d907e12a88f40 | MATLAB | 2,832 | 83 | function [weights, trainerr] = cnntrain_mat(layers, weights, params, train_x, train_y)
params = setparams(params);
layers = cnnsetup(layers, 0);
assert(length(size(train_y)) == 2, 'The label array must have 2 dimensions');
train_num = size(train_y, 1);
classes_num = size(train_y, 2);
assert(classes_num == layers{end}... |
2bc4428499d5148ed8cb40724993d9c41ae167c3f91f82e818911db49372b105 | MATLAB | 2,834 | 76 | function [Signal, t] = simulate_aperiodic_eeg(Exponent, Offset, Duration, SampleRate, Plot)
arguments
Exponent = 2;
Offset = 2;
Duration = 30; % seconds
SampleRate = 250;
Plot = false;
end
% [Data, t] = simulate_aperiodic_eeg(Slope, Intercept, Duration, SampleRate, WelchWindow)
%
% Creates an artif... |
9235b223df7b0405f78d6f5cc1a09dd55a6e2b14070fa30835c7cdc453a90410 | MATLAB | 2,835 | 90 | function success = commit(obj, spikeClusters, metadata, msg)
%COMMIT Commit a modification of clustering to history log
success = 0;
if obj.nEdits > obj.editPos % not at tip of edit history, back out
warning('cannot branch from history; use revert() first');
return;
end
% create a b... |
f14d92ceee59bf8e39666b2971f330327d348831762c9a9218f2105e12d0f462 | MATLAB | 2,835 | 91 | function [saen,saenvar] = SampEnVar( dim, r, data, tau )
% SAMPEN Sample Entropy
% calculates the sample entropy of a given time series data
% SampEn is conceptually similar to approximate entropy (ApEn), but has
% following differences:
% 1) SampEn does not count self-matching. The possible trouble ... |
dc17c4093784682e36f74824b5c4dc30aca50f9355bd89fc47c7955084dfffdf | MATLAB | 2,837 | 85 | function RLTouchPhase190513
%¶«Ì^b`ÌÔÉXpCNª Á½Æ«¶«Ì^b`ÌÅDZÉE^b`ª Á½©
global SpikeArray RpegTouchall LpegTouchall TurnMarkerTime OneTurnTime OnWater fname tfile R_LPhaseindex
% cd('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51');
% dpath=('C:\... |
ad56163045d789936dbf16376517843694f2e9ab9ea25412f25d08a09715af27 | MATLAB | 2,838 | 108 | % create psth vector from all data
%% load all data files
clear
clc
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%% calulate
count = 0;
nds = [10,8,6,4,3,... |
85672d9d76eee53ed227771b159f8612409e6b458d0aa9d4919504c13bd092ce | MATLAB | 2,839 | 83 | function y = CartesianSphericalTransform(x, mode)
% Y = CartesianSphericalTransform(X, mode)
% Transforms between Cartesian and n-dimensional Spherical coordinates
% See: https://en.wikipedia.org/wiki/N-sphere
%
% Inputs:
% X: m x n matrix of row-wise Cartesian or Spherical coordinates
% if mode = 'CARTtoSPHR' ... |
c23c814adf01559bdb8cf31a0f9a5b87b7c500989641d8ee6f16f8a597b04163 | MATLAB | 2,842 | 109 | % test plot adult ECG and VCG loops
% Reza Sameni, 2005
clear;
close all;
% % % fs = 1000;
% % % data = load('s0010_re.txt');
% % % % data = load('s0014lre.txt');
% % % time = data(:,1)';
% % % data = data(:,2:end)';
% % % I = 1:10*fs;
% % % data = data(:,I);
fs = 1000;
load patient165_s0323lre; data ... |
7838af8e3aab1918187a3330d0caffd975fedbe241d4102fe5c9c2c59d4cfed9 | MATLAB | 2,845 | 56 | function Data = Match_Vertex_Rects_To_Segments_Skel(Data)
% This function matches vertices angles and skeleton segments.
% It runs at the beginning of the tracing code. These matchings are used as starting points for the tracing.
% For each vertex it tries to match each angle to a segment (that is known to be conn... |
e51d70c0390f5d250d7d4da4e802ae31165f6a885765d6bea32f8063357f5986 | MATLAB | 2,850 | 122 | close all;
clear;
clc;
% parameters
subject = 'Dog_3';
number = 15;
path = ['J:\Seizure\' subject '\'];
mode1 = 'interictal';
mode2 = 'preictal';
ch = 1:16; % desired channels
time = [7 10]*60; % in seconds
nfft = 5000 - 1;
SpectralWinLen = 10; % in seconds
SpectralOverlapPercentage = 50; % [0 99]
% load signals
[x f... |
b26e601787ba1dc51b3b5451eb830358b7b8eb423804dae36df413c9ae4cf0c9 | MATLAB | 2,852 | 87 | function get_clean_video(X_SPARSE,fs,isSIGNAL,XY,r,W,H,NameOut)
%% Description
% Gets Clean Video Reconstruction from Estimated Fluorescence Signal
% Previously loaded .mat File of Experiment:
% INPUT
% i:condition; j:#video from Experiment: eg.:RASTER{j,i};
% X_SPARSE=SIGNALSclean{1}; Clean Signals
% isSIGNAL ... |
7f5478dad71748c21e54c0296a5d6ea304e6e565119301292eeed8b68e47b881 | MATLAB | 2,854 | 77 | function [peaks, peak_indexes] = peak_det_local_search(x, ff, varargin)
%
% peak_det_local_search - R-peak detector based on local max/min search
%
% [peaks, peak_indexes] = peak_det_local_search(x, f, flag, num_rounds, hr_update_fraction, omit_close_peaks)
%
% Inputs:
% x: Vector of input data
% ... |
cda281d1ad27ded3cf6bab891b915455c08888d2e1410a9fe36563ff9c79b6ec | MATLAB | 2,854 | 90 | function [R, error] = multicluster_linear_regression(A, n_trials, if_plot)
% ------------------------ no PCA------------------------------------------
% A = A';
% N = round(size(A,2)/n_trials);
% R = zeros(N,N);
% error = ones(N,N);
% for n = 1:N
% for m = 1:N
% if n==m
% continue
% else... |
40597ef579c5a8f9aecadc8f93188106e10e9006f3e2859441d7db0fd41153c5 | MATLAB | 2,855 | 75 | function [h_vel, v_vel, r_vel] = HeadVelocity(TrackingData, sr, gaus_kernel)
% Computes horizontal, vertical, and roll head movement rotation velocity in deg/sec
% Input:
% TrackingData - Data containing tracking information
% sr - Sampling rate
% gaus_kernel - Flag indicating whether to apply ... |
f6b7d3b415205aa70ec3366750c11c5f23469cfd526ff9caa4ed6a74b3a9c612 | MATLAB | 2,855 | 66 | function [peth] = getClusterPETH (st, events, bin, window)
% Peri-Event Time Histogram (PETH) - alignment of spike times to event time
%
% [peth] = getClusterPETH (st, events, bin, window)
%
% INPUT
% Note: all inputs must be in same time scale (e.g. seconds)
% 'st' - cell array with spike times
% 'events'... |
ff97479ab7c7207674d1329dfd9411cc3613c0c1d219c8733d32bfaacf79b2b6 | MATLAB | 2,855 | 97 |
close all; clear mex;
cd(fileparts(mfilename('fullpath')));
funtype = 'gpu';
%funtype = 'cpu';
%funtype = 'matlab';
disp(funtype);
if (strcmp(funtype, 'gpu') || strcmp(funtype, 'cpu'))
kMexFolder = './c++/build';
kBuildFolder = fullfile(kMexFolder, funtype);
if (ispc)
mexfiles = fullfile(kBuildFolder, ... |
d0487a69fe1a19046910c37326e101f2b8515ac80c6230624ced98172daa5a1f | MATLAB | 2,856 | 92 | function [A, B, ang] = random_mat_max_col_space_ang(angle, dim1, dim2, flag, varargin)
% random_mat_max_col_space_ang - Generate random matrices with a maximum angle
% between their column subspaces.
%
% Syntax:
% [A, B, ang] = random_mat_max_col_space_ang(angle, dim1, dim2, flag)
% [A, B, ang] = random_mat_m... |
16fcbc680fcc0ab2857c749d30296a15ee5d64d4cec87a2e5c0f9fde4bd92550 | MATLAB | 2,857 | 100 | function [TM,CI] = rst_trimmean(varargin)
% This function computes the X percent trimmed mean of the data.
% It also returns the 95% confidence interval of the trimmed mean.
%
% FORMAT
% [TM,CI] = rst_trimmean(data,percent)
%
% INPUT
% data is a vector or a matrix (also accept NaN)
% percent is the amount trimmed eac... |
44605f5905ef5e7a93b32bbf7e2ec49519307bc5367663153347b8697f87266f | MATLAB | 2,857 | 87 | function [T,V,D,Z,Z96,A_mean] = Run_PCA( features, matter,NUM_SUBJECTS,labels, keep )
%3. Perform PCA analysis and save the eigenvectors. The top eigenvector is
%called eigenvector_1 and corresponds to the largest variance in the matrix
%D.
%Shinjini Kundu (c) 2014
%Uses the PCA trick described in the paper Coo... |
8faa50e0fe8c8b17b55f443ba3f837473c59c4f625855b2fbff4a0b22d77afb2 | MATLAB | 2,857 | 74 | function [ panel_pos, fig, all_ax, h ] = panelFigureSetup2( panel_x, panel_y, labels, figure_width, ...
figure_height, panel_spacing_paper, panel_margin_paper )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
if nargin < 7
panel_margin_paper = 1.5; % cm
end
if nargin < ... |
a09207e43d0c6fd209d27059be023ff031f64fb0b417ba5b0439d9031a6a76d5 | MATLAB | 2,857 | 91 | function [ProcessedData_SAVE,varnamesDATA_SAVE,Dts_SAVE] = fixedBLperDFFV4(PreprocessedData,TrialParam,varnames,varnamesDATA)
ST1 = {'Raw'; 'Recentered'; 'DecayAdj';};
inUseST = fieldnames(PreprocessedData);
STidx = zeros(1,numel(ST1));
for i = 1:numel(ST1)
if ismember(ST1(i),inUseST)
STidx(i) ... |
8d0c991cee1df57d0647af77e31e7dd958f80076500ac1c2b38d2062c8a4e801 | MATLAB | 2,858 | 120 | %Function to relabel simulation results for easier comparison
function [post_out] = relabel_results_multi(post_draws, Y, xDat, true_graph, true_states)
%%
kappa_post = post_draws.kappa_post;
parcor = fdr_est(kappa_post, 0.2);
[p,~,k] = size(parcor);
true_graph(repmat(eye(p),1,1,k)>0) = 0;
%parcor = 1*(parcor~=0) ;... |
36ba256e546dd23cb1c1f2d7f4f199adc63fef05a5ac37ebeeb76afc0c3aebc7 | MATLAB | 2,859 | 95 | function h=mnl_boxplot(data,ColumnNames,YvalueLabel)
% Marcus' version of boxplot where outliers are not recorded, and raw data
% points are plotted too
%
% Red line is the mean, red whiskers are the standard deviation, blue line
% is the median, blue box is the interquartile range, and the blue whiskers
% are the maxi... |
ea6da59e48702b1bf884dd67153d97608adf97695019e6c6266c6b4052c67146 | MATLAB | 2,862 | 87 | function AllAnswers = import_task_logs(DatasetPaths, Task, Destination)
% TEMP: old function to load in task data
if ~exist(Destination, 'dir')
mkdir(Destination)
end
% find all paths
[Subfolders, Datasets] = raw_data_paths(DatasetPaths, 'PXX', false, {'CSVs', 'Lazy', 'P00'});
if isempty(Datasets) || isempty(Sub... |
3f87e95e187a8d2c9ec44bbe7bf01c2dbeeabe2b7d972ea9d689c182547f29bd | MATLAB | 2,863 | 86 | %% save all_data files to breain render table
% (10) cells that are both transient and sustained intensity-encoding.
% A map showing the (11) cells that are transient intensity-encoding, (12),% cells that are sustained intensity-encoding,
% all recorded cells.
clc
clear
[file, path] = uigetfile('*.mat','MultiSelect',... |
bc7b8c7923fd61ca64817e20a8eb25b798da0442d6dbe36fb668679e827304a2 | MATLAB | 2,865 | 79 | function [FR CV CORR]=CalcCVCorr(OutMatrix, Neurons)
Len=1000;
OutMatrix=OutMatrix(:,4001:5000);
FR=(1000/(Len/5))*sum(sum(OutMatrix))/Neurons;%Hz
CVn=zeros(1,Neurons);
for n=1:Neurons
F=OutMatrix(n,:);
idx=find(F==1);
ISI=diff(idx);
... |
c5f2efcaab6044106a4d7f99f493150bf2f72aa28529634bba7650692aad7f9d | MATLAB | 2,865 | 98 | % test VCG loop alignment
% UNDER TEST
% Reza Sameni, 2005
clear;
close all;
load patient165_s0322lre;data = val(13:15, 1:15500)';
%load FOETAL_ECG.dat; data = FOETAL_ECG(:,2:9);clear FOETAL_ECG;
N = 70;
%N = 200;
delta = 10;
%//////////////////////////////////////////////////////////////////////////
% filter data
fs... |
4ddd9c4ad738dc4e0bd505abf33b45824fc0dd38c74c1ceb655cc64d62fd2376 | MATLAB | 2,868 | 88 | % Dsol0 is in units of uM
% Dmem0, Rclus0 and Rdilute0 are in units of /um2!
% Length scale h is in units of um (e.g. 0.001um)
% time is in s it is either [T0 Tfinal] or an array of time pts.
%
% k in units of uM(-1)s(-1)
%kb in s(-1)
%VAratio is units of um
%Add in a reaction where dynamin within the cluster rec... |
f572c373d4362198a1054af389fb93b67a2f3f8126aea658edc39ee0eb2aa868 | MATLAB | 2,868 | 109 | clear; clc; close all; rng('default')
assert(~isempty(strfind(pwd, 'embanded/examples/matlab')), 'Please change folder to the examples directory')
run(strrep(pwd,'examples/matlab','setup.m'))
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulate data.
% Generate some training data
num... |
fcb4a6da7c31f62ccb8fa4ac883d1e86280f202e0feca3ba0c5440b673bb62ac | MATLAB | 2,876 | 93 | function showmeyourvideo(X_SPARSE,fs,isSIGNAL,XY,r,W,H,NameOut)
%% Description
% Gets Clean Video Reconstruction from Estimated Fluorescence Signal
% Previously loaded .mat File of Experiment:
% INPUT
% X_SPARSE=SIGNALSclean{1}; Clean Signals
% fs: Sampling Frequency
% isSIGNAL = isSIGNA... |
353cf24b50bfd8a17a27212df9f159801ce4f55b020ab6fe15e754c3962f4a42 | MATLAB | 2,879 | 96 | function Segments = Classify_PVD_Segment(Data)
% function c = Classify_PVD_Segment(Sx,Sy,Sc,Is_Terminal)
% Sx and Sy are vectors of segment coordinates.
% Sc is a vector containing Menorah classes corresponding to segment coordinates.
% TODO:
% move parameters to parameters file.
Threshold_3 = 0.2;
Thresh... |
30494ff37240e9c2308d43a07540e384a40b3d3d2c8658afa9e01bb7fcd4ffd3 | MATLAB | 2,880 | 151 | % test algorithm for ICA permutation compensation by SVD
% UNDER TEST
% Reza Sameni, Copyright 2015
%
clear;
close all;
clc;
% N = 1000;
% L = 8;
% itr = 1;
% x1 = randn(L, N);
% x2 = randn(L, N);
% fs = 250;
% load('FetalECGDaISy.mat');
load('FOETAL_ECG.dat'); data = FOETAL_ECG(:, 2:end)'; fs = 250;
x1 = fastica(d... |
a2cd36cb6df8a3673de221925ca09fa46c3c1498b3f75b07b8c3646cee1649f3 | MATLAB | 2,882 | 79 | function layers = updateweights(layers, params, epoch, regime)
if (length(params.momentum) == 1)
momentum = params.momentum;
else
momentum = params.momentum(epoch);
end;
if (length(params.alpha) == 1)
alpha = params.alpha;
else
alpha = params.alpha(epoch);
end;
if (length(params.beta) == 1)
beta = params.bet... |
e36cefedd33993c5731696a2e9d35527645057a78e462ae17abb01134de8d8d9 | MATLAB | 2,882 | 89 |
clear
%% transducer parameters
c=1.5; %km/s
Lh=12; %mm
f=4.5; %MHz
lamb=1.5/f; %mm
pixel=0.75/12; %mm
N_pixel=round(Lh./pixel); %mm
k=2*pi/lamb;
kx=2*pi/pixel;
z=15; % mm
% Li=14; % mm
% k_lim=pi*(Lh+Li)/lamb/sqrt((Lh+Li)^2/4+z^2);
%% image generation
raw_I=imread(['V.png']);
gray_I=double((raw_I));
... |
3ab46c7829b8947a12515853785822e56b7c6e4fc9927177da3e74177548b0e7 | MATLAB | 2,883 | 86 | function import_raw_pupil_tables(RawPupilDir, DestinationDir, Task, RerunAnalysis)
% from the output produced by PupilPlayer, saved in the LSM data structure,
% this goes folder by folder, snd resaves the content into a mat file in
% the destination folder of choice.
% loop through entire dataset to find relevant pupi... |
627b1fa1ebf9b284fd7a3c7f00f2bd3e9d657e4483b1ccfd77dfaeb423d346dc | MATLAB | 2,885 | 94 | % plot clusters from all data file WITH IR
clear
clc
ploting =1 ;
window = 2; %(on, sus, off)
sus_window = 65:125;
nd2reduce= [9;7;5];
%%
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
data... |
48a3ce188bb9fde43a88fdb8ef17c1a487159912d7b26cb275b386213c65a093 | MATLAB | 2,887 | 79 | %% save all_data files to breain render table
% A map showing the (14) cells that are transient light-responsive, (15) cells that are sustained
% light-responsive, (13) cells that are both transient and sustained light-responsive, and (16) non responding cells.
%
clear
[file, path] = uigetfile('*.mat','MultiSelect',... |
ad610d839397e12388eaf71cbc4614a2e8557803b6aae3795b406c12825cf84b | MATLAB | 2,892 | 81 | function spec_info = explore_spectro_data(P)
if ~exist('P')
P = spm_select([1 Inf],'dir','Select directories of dicom files')
end
if exist('spec_info'),found=length(spec_info);else found=0;end
for nbdir=1:size(P,1)
[afid, adcm]=spec_read_first(deblank(P(nbdir,:)));
if ~isempty(afid)
found=found+1;
sp... |
9657c81c29543f68672e67c4413259eb6b50c61b2cb90fc10b878a536740026f | MATLAB | 2,893 | 63 | function [vcg, teta] = vcg_gen_direct_sum(N, fs, f, alpha, b, theta, theta0)
%
% vcg_gen_direct_sum - Synthetic cardiac dipole/vectorcardiogram (VCG) generator using the direct implementation
% of the sum of Gaussian model. Performs identical to thedipole_gen_state_space.
% Refer to references for further deta... |
c220348142ef507d9f71437e47d43cc3f60d097b5fa80e665b99937b9f324a96 | MATLAB | 2,895 | 84 | %
% Test program for mean ECG beat extraction and parameter optimization.
%
% Dependencies: The baseline wander and ECG filtering toolboxes of the Open Source ECG Toolbox
%
% Open Source ECG Toolbox, version 1.0, November 2006
% Released under the GNU General Public License
% Copyright (C) 2006 Reza Sameni
% S... |
f9403ebbe888a5f6da9668ea1bb39babf58d8e9adf472988576cfc56ca7940e6 | MATLAB | 2,902 | 101 | %
% [xFit yFit yError y0 A lambda x0 sFormula] = myFitExpRS(xData, yData, resamplingCount, sFormulaMode);
%
% [ABSTRACT]
% data FITting using EXPonential Raising Saturated model: y0 + A * ( 1 - exp(-lambda*(x-x0)))
%
% [INPUT]
% xData: row vector: input x data
% yData: row vector: input y data
% resamplingCount: intege... |
0ccc5c81e67c7ab9552c2de46d44f03116d0f2c8d728ac630247f6d1ff2da4b1 | MATLAB | 2,903 | 97 | function show_r3_point_set_new(points_x,color,varargin)
%SHOW_R3_POINT_SET 3D illustration of a point set
%
%Syntax
% show_r3_point_set(POINTS_X,options);
%
%Description
% SHOW_R3_POINT_SET(POINTS_X) uses a 3d plot to illustrate a point set in relation to
% the unit sphere S^2.
%
% The argument POINTS_X must be an arra... |
09db2027d93771bd6589fa653f45b4e00e1c0d1d02b7d74719ef45ca4fff37f7 | MATLAB | 2,906 | 101 | %
% [xFit yFit yError y0 A lambda x0 sFormula] = myFitLogRS(xData, yData, resamplingCount, sFormulaMode);
%
% [ABSTRACT]
% data FITting using LOGarithmic Raising Saturated model: y0 + A * log( 1 + lambda*(x-x0))
%
% [INPUT]
% xData: row vector: input x data
% yData: row vector: input y data
% resamplingCount: integer: ... |
3736b6ae1cff8d27a4645a2ee5fccb77c4941069ff37c9c201f6dee2ea6b8c3a | MATLAB | 2,906 | 69 | % Computes the metastatic mass via a first order quadrature
function [burden, nb] = ...
model_burden_nb(...
param,... % metastatic parameters
time,... % time points
growth_model_PT,... % growth model for primary tumor
growth_model_met,... % growth model for metast... |
6a322bdf16d7beefbcd776405d867b96aa8446ce6508fe23fe6395bfa97b863d | MATLAB | 2,907 | 68 | function [B,twomu,p,T] = multiSliceA2B(A, gplus,gminus,omega,BType)
T=length(A);
p=size(A{1},1);
% if u want more B, added it in the case
switch BType
case 'orderedSlice'
Bplus=spalloc(p*T,p*T,p*p*T);
Bminus=spalloc(p*T,p*T,p*p*T);
twomuplus = 0; twomuminus = 0;
for s=1:... |
a16230d0cfea5fc6ba24a60a3542e67d75812a8b54a2e0732602d85abebc0869 | MATLAB | 2,908 | 91 | function save4spss(names, vars, titl)
%
% Copyright 2010 Jesse van Muijden, Leiden University, The Netherlands
%
% This function is basically the same as the previously uploaded example
% script, but now it has the form of a function. The function can only
% handle numerical data.
%
% The first input argument must be ... |
eead26367e8f8772f5caa988934c89861c9d986b45344a11058c2f6a2f0663fe | MATLAB | 2,909 | 67 | function [PeakToPeak_corrected, PeakToPeak_differences, matched_peaks_indexes, smoothed_matched_output] = MFPeakDetector2(x, matched_template, type, wlen, PP_diff_wlen, PP_diff_th, average_peak_det_rate, fs, plotflag)
% ===========================================================
% Matched Filter R-Peak Detector and Sm... |
c8a0d4115aac094999fc59c6f288028ca70342cc3823badcba871c66f12def03 | MATLAB | 2,917 | 102 | classdef (Hidden) channel_writer < handle
%
% Class:
% adi.channel_writer
%
% This is meant to be an interface
%
% adi.setChannelName(file_h,channel,channel_name)
% adi.sdk.setChannelInfo
% adi.sdk.addChannelSamples
properties
id
end
%*** The... |
9a22b11c14d88a592cf82f3cba865554f36096f5143575eb361bbebae5355e19 | MATLAB | 2,921 | 93 | function [DataAVG_SAVE] = entiresessionAverageV2(ProcessedData,varnamesDATA,setupParam,TrialParam,allTrials)
% Setup group info (if there are groups)
allTrialsID = allTrials.ID;
if setupParam.CompareGroups == 1
GroupParam = TrialParam.GroupParam;
groupnames1 = fieldnames(allTrialsID);
groupidx = zeros(1,n... |
dc3f81fefd7b262cad0220900ec4b49d72832089542f3800bf680b23e8bcad35 | MATLAB | 2,923 | 78 | % test bids processing pipeline on SPM's face repetition single subject dataset
%% update path
local_test_dir = '';
% in case spmup was not added to the path
location = fullfile(pwd, '..');
addpath(fullfile(location, 'adaptative_threshold'), ...
fullfile(location, 'bids'), ...
fullfile(location, 'exte... |
4541f0303fe2eddc8d46d6861b7ab13346ce8e2987bfdb1b6a883e8d353dcbc1 | MATLAB | 2,924 | 90 | %load atlas
annotation_volume_location = 'C:\Users\elyashivz\Documents\analyzing_slices\annotation_volume_10um_by_index.npy';
structure_tree_location = 'C:\Users\elyashivz\Documents\analyzing_slices\structure_tree_safe_2017.csv';
if ~exist('av','var') || ~exist('st','var')
disp('loading reference atlas...')
av... |
792f8ca3149cfc8722acebe30ba35efed9aa465e6d775d70c4a9da44ac9d2a2c | MATLAB | 2,925 | 124 | function ob = fatrix2_kroni(Mkron, ob)
%function ob = fatrix2_kroni(Mkron, ob)
%|
%| Construct fatrix2_block object of form kron(eye(Mkron), ob)
%| i.e., a kronecker product of identity matrix with object.
%|
%| in
%| Mkron natural number
%| ob fatrix2
%|
%| out
%| ob fatrix2 equivalent to kron(eye(Mkron), ob)
%|
%... |
fccc26a37e01f6e8aa4d7bf01e804a570fc6754084a4fd5ec27711a6f05ffefb | MATLAB | 2,925 | 95 | clear;close all;
set(groot, 'defaultAxesFontName', 'Arial');
set(groot, 'defaultTextFontName', 'Arial');
addpath(genpath('eeglab2023.0'));
% Load the channel location file
load('chanloc_hydrogel.mat');
load('chanloc_gel.mat');
channel_num = 33; % 32 working + GND
date = '0503';
%%
Data_hydrogel_night = [];
... |
30f3a06f31a12c11da7304ea3821118578a361448a4c8a5dedb8d1e605d54778 | MATLAB | 2,928 | 83 | function fig3_threshold(folder, save)
%% Figure 3: Connection numbers
% Subplots/information:
% - Although weaker, contralateral projections are more numerous
% - Show density imagesc normalized separately
% - Show number of projections ipsilaterally vs contralaterally vs threshold
%% Load and normalize
if nargin == 0... |
62a430ba3c59851c47649f65de1e48b6945666a16a91374f3e6903e222ba6966 | MATLAB | 2,928 | 81 | function multiple_boxplot_with_significance(data,xlab,Mlab,pValues)
% pValue is of size(data,1) * 3, size(data,1) is the number of groups
% pValues are saved in the order (1,2),(1,3),(2,3), but we want to plot
% (1,2), (2,3),(1,3);
% case 1: comparison for 3 groups
if size(data,2) == 3
pairIdx = [1 2;... |
c0d35815a52976aa25caa4aa32ce22efa45e1da514a74c1d35a4b8e22d6d7f18 | MATLAB | 2,929 | 88 | close all
clc
clear
results = load('J:\ECGData\Arrhythmia\AllDataSmootherResultsArrhythmia05_ComparisonWithLPF_Backup.txt');
% results = load('J:\ECGData\Normal\AllDataSmootherResultsNormal05_ComparisonWithLPF_Backup.txt');
% results = importdata('J:\ECGData\PTB\AllDataSmootherResultsPTB05_ComparisonWithLPF_Backup.txt'... |
365b12451d3807cde754cdc1685fe9582a1c638c9463dc870ef38c9f17e5140f | MATLAB | 2,931 | 78 | function sep_file_names = task_separator(filename)
%
% sep_file_names = task_separator(filename)
%
% *************************************************************************
% * Task based separation of TDSKA/EEG data to avoid memory overuse * *
% **************************... |
36eec38f50670a290f4bf152c290317e9c6abb7dd99f395ab3e68554151531dc | MATLAB | 2,931 | 77 | function syncHistFile(obj)
%SYNCHISTFILE Sync up history file with current history
d = dir(obj.hCfg.histFile);
if isempty(d) || obj.nSpikes == 0 % file does not exist
fclose(fopen(obj.hCfg.histFile, 'w')); % truncate history file
d = dir(obj.hCfg.histFile);
end
if obj.nSpikes == 0
... |
c9b5c80f711ffd5c6b0c6493629c6a7f6ef5074a7f65b5d0f765b6eaf1dfec2d | MATLAB | 2,932 | 157 | function FF = read_basis(filename)
if ~exist('filename')
filename = spm_select([1 inf],'any','select files','',pwd)
end
for k =1:size(filename,1)
[p f e]=fileparts(filename(k,:))
file_in = fullfile(p,[f,'.IN']);
if exist(file_in)
fp = fopen(file_in)
s='qsdf';
while ~isempty(s)
s=... |
20ea94a1b6e2eebbac4464e031d5bb59fd4a43ab1fdc5c676abd08da0b08ca90 | MATLAB | 2,933 | 103 | function [P, Q, R, S, T] = ecgWavesSoI_RR(ecg, Rpeak, RRf)
%
% 'RR interval based' version.
% This function approximately finds the peaks and borders of the Q and T waves
% in the input ECG signal.
%
% Inputs:
% ecg: Single channel ECG signal
% Rpeak: R peak positions
% RRf: R-peak referenced flag; if true, R... |
f03048cb22843c453b50c4a5cda7a192560b46cd9f80c4abe2857adfc2c1905f | MATLAB | 2,934 | 87 | function [x,y,eb,mini,maxi] = plotFormat(timewindowAVG,varnamesENTIRE,setupParam)
All = timewindowAVG.all.average;
VN = varnamesENTIRE;
timewindow = setupParam.timewindow;
BLperiod = setupParam.BLperiod;
ST1 = {'Raw'; 'Recentered'; 'DecayAdj'; 'RefDecayAdjExp'; 'RefDecayAdjPoly'};
inUseST = fieldnames(All);
STidx = z... |
2f0343bbb8ed2d2f6ef7d6cfc11cd34542447a20890b07615824b10a25840a06 | MATLAB | 2,936 | 73 | function activity(obj)
%ACTIVITY Plot activity
if isempty(obj.res)
obj.loadFiles();
end
plotActivity(obj.res, obj.hCfg);
end
%% LOCAL FUNCTIONS
function plotActivity(spikeData, hCfg)
%DOPLOTACTIVITY Plot activity as a function of depth and time
tBin = 10; % activity every 10 sec
% ... |
edb2cab2f74dbab4f9a4bcdf94ecb4b866a82ad76b7d72f90dc8ab51b84ac6d8 | MATLAB | 2,936 | 87 | function [GoodSingle,GoodMultiple,GoodAnatomicallyClose,Few,Scattered]=mnl_ManuallyClassifyClusters
%This function manually classifies the clusters.
% The input is manually chosen tiff images of the clusters
% The output are lists of the clusters numbers and saved as both a
%csv, and as separate output variables
%% L... |
a412700af41b3bcf5782917f48c836742f2308efc3a3c28efacff7c91a5ef52c | MATLAB | 2,937 | 94 | function gui_lc (action)
%
% This file is used by FASTICAG
% This file holds the callbacks for load-dialog
% 24.8.1998
% Hugo Gävert
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the window
global hf_FastICA_Load;
% Handles to some of... |
d9138f7bd1b75a73d8505095534f9e2c25b0bcd9bfdffb3b95e7e6c53885bf83 | MATLAB | 2,940 | 67 | %% prepare data
speed_control = 0;
[av_trials_all, err_trials_all, trans_data_all, trans_data_err_all, err_trials_full_all, trans_data_all_dr, tone_idx] = ...
prepare_data_task_subspaces(p, traces, evs, bvs, tis, speed_control);
[q, trial_idx_ses, ~, ~, ~, ~] = dr_into_joint_subspace(p... |
fb1cf31c550f1083f06aaacccf72e5714447a88626142bba535f327d2b0c48a8 | MATLAB | 2,942 | 78 | function updateFigISI(obj)
%UPDATEFIGISI Plot return map
if isempty(obj.selected) || ~obj.hasFig('FigISI')
return;
end
nSpikes(1) = numel(obj.hClust.spikesByCluster{obj.selected(1)});
if numel(obj.selected)>1
nSpikes(2) = numel(obj.hClust.spikesByCluster{obj.selected(2)});
end ... |
5def7ed88b9839a4e8bd269d2101104fd64705b8f997111bbdb80de3b9e84dc5 | MATLAB | 2,945 | 104 | function varargout = ds2nfu(varargin)
% DS2NFU Convert data space units into normalized figure units.
%
% [Xf, Yf] = DS2NFU(X, Y) converts X,Y coordinates from
% data space to normalized figure units, using the current axes. This is
% useful as input for ANNOTATION.
%
% POSf = DS2NFU(POS) converts 4-element positi... |
86c07e2e6309ebcdbb030d5f6e530aab1aae7d72e0d491cc9817b0ac03e79dfc | MATLAB | 2,945 | 95 | % - plot the activity of an example cell over trials for two alignments:
% tone start and action start
% - then plot the corresponding trials averages
%% load data
clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'tis','bvs','traces','evs')
[cols,alpha] = chooseColors;
%%
sub = ... |
e9a12aeac39d67a88cc1b7e3b9c38028a074dd0ae2e7225c574d7724968f92e3 | MATLAB | 2,947 | 93 | function PLV = PLV_PhaseSeq(varargin)
%
% PLV = PLV_PhaseSeq(phase_sig)
% PLV = PLV_PhaseSeq(phase_sig1, phase_sig2, phase_sig3, ...)
%
% *************************************************************************
% * Calculating Phase Locking Value (PLV) matrix (Pairwise) using phase *
% * sequences. Refer to the Us... |
04336fc24c9f09875c29b250f766b3a675f38a12e99a47ab7bd7b9bf83c1f172 | MATLAB | 2,948 | 86 | classdef pointer < handle
%POINTER manages the data to display and the rwaves to display
% Detailed explanation goes here
properties
start_idx
stop_idx
dspl_idx
pre_idx
post_idx
dur
ax_1
ax_2
length
end
events
... |
b5f7ec060cf51a3c5c782ce16d7a8eeb85be2113c18beb1b9de8f29be5dd8917 | MATLAB | 2,948 | 76 | clear
[file, path] = uigetfile('*.mat');%When the user clicks the load data button, a window should open to enable the user to select a file.
datafile = fullfile(path, file); %save path
load(datafile)
close all
%%
% response_time = 160:190; %random
% dms_response = {
response_time = 30:60; %on
respons... |
55ded852fa0e76871c04900da143653e2371b21f8762bbbfce59ff65efe480bb | MATLAB | 2,949 | 46 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2023
function time_points = time_points_frames(txt_filename_frames, varargin)
% normalizes frames to real time points in ms and frames
% output is a cell array with time points & frame number of each presented stimulus and
% all start and end times & frames for calcula... |
f84bbecada66757b2c5d6557a5990dc8a9ebe602c7727ff73b3b846a60e92edd | MATLAB | 2,950 | 95 | classdef (Abstract) RawRecording < handle
%RAWRECORDING Model of a single recording
properties (Hidden, SetObservable)
hCfg; % Config object
end
properties (Hidden, SetAccess=protected, SetObservable, Transient)
rawIsOpen; % flag, whether raw recording file is open
... |
922a0f1813ec860c4ec80dd2256ebfd476bcec1195e96d2ef429b0918cc52458 | MATLAB | 2,956 | 119 | clear
%%
load('BzaIaa_corrcoef.mat')
load('BzaOFFTrain_IAATest.mat')
%%
figure
pn = sum(pn,1);
pn = filtfilt(ones(1,8),8,mean(pn,1));
% pn = (pn-min(pn))/(max(pn)-min(pn));
pn = resample(pn,10,20);
plot(1/10:1/10:8,pn/80,'k','LineWidth',2)
hold on
yyaxis right
bvr = temp(61:300);
bvr = filtfilt(ones(... |
34337d4f045fa5458a2a867522b5aa2c5f6959fcbaa5ddc8cfd715f82c6e000c | MATLAB | 2,961 | 88 | function [ output_args ] = normalizeTraces(p,outliers)
% normalize dfof traces from joint extraction
% different sessions might have different signal to noise ratios, thus
% sessions should be normalized individually as follows:
% estimate SNR differences between sessions by calculating the std of
% cells in different ... |
93b9bdfccf3f13ddb9b8c5cc22ab911ddf28371469ce741743eb2729b0daf040 | MATLAB | 2,966 | 105 | function [S, detail_par,count,isntGood] = fcn_staged_multilayer_iterated_10000par(A,gbound,obound,nsamples,couplingtype)
% 21/10/22
detail_par = [];
isntGood = []; % keep trace of excluded parameters
isntGoodG = [];
isntGoodO = [];
isntGoodF = [];
isntGoodN = [];
N = length(A{1}... |
b4ae44c18015bc0a0133ceb2e07fd7d88c9b4823600f5952b116e98e3873bbf8 | MATLAB | 2,971 | 84 | function [seg_fp, seg_samp] = segmentSignal(fp,winSize,winOv,Fs,varargin)
%segmentSignal - Extract segments of specified windows from photometry
%signal
%
% [seg_fp] = segmentSignal(fp,winSize,winOv,Fs)
% [seg_fp, seg_samp] = segmentSignal(fp,winSize,winOv,Fs,evnts)
%
% Description: This code will use a mo... |
b72b8b622edd8c632770c5b29e9573ff5a98e4c3061192aeb4a8d99b22b3c280 | MATLAB | 2,972 | 92 | function [Beads]=mnl_AutomaticallySelectBeadLocations(Data)
%Input
% Data - xycz format
dim=size(Data);
nColours=dim(3);
nRows=round(sqrt(nColours));
nColumns=ceil(sqrt(nColours));
%% Create the single channel MIPs with a median filter
r=3;
[mData]=mnl_MedianFilterEachChannel_2D(Data,r);
MIPs=zeros(dim(1),dim(2),nColo... |
0ca862c52ecbf10a212a03d3643415d8a74636641a2fac7f01cd026bf554adf5 | MATLAB | 2,978 | 71 | function [New_DataSet,Pixels_To_Classify,Pre_Classified_Pixels] = Generate_New_DataSet(Im0,Input_Rows_Num,Input_Class)
[Rows1,Cols1] = size(Im0);
Frames_Max_Num = Rows1*Cols1;
Frame_Half_Size = (Input_Rows_Num - 1) / 2;
switch(Input_Class) % Determine the type of the neural network object.
case 'SeriesNetwork... |
fee9deaa13c4835ab496e00391fe06381abfea6840dbca67bc7b065969a0d05c | MATLAB | 2,980 | 90 | function polypredcicall(x,y,lev,str)
%POLYPREDCICALL Plot regression line with confidence interval.
% POLYPREDCICALL(X,Y,LEV) calls POLYPREDCI with input coordinates X and
% Y. Regression line is overlayed on scatter plot. Confidence interval is
% plotted at a confidence level defined by LEV.
%
% POLYPR... |
aaeb647e2b146ba6c782aff52bcf9d9745ccc37c21ff5a4dc93d32d1ae24e382 | MATLAB | 2,982 | 77 | %% Iterate over all animals and kick out invalid trials
% CIAO_01b_kickout prevents the pooling of different trials in later steps.
% For this, the respective trial number is deleted from the
% meta.valid_trials variable.
% Provide a list with invalid trials in a textfile (invalidTrials.txt) and
% locate it in the m... |
b2b8b519ae6f920640a7de63a8d24f99bf1b136ded781206c49a78aff3826468 | MATLAB | 2,982 | 117 | function [o nofiledir yesfiledir] = get_subdir_regex_files(indir,reg_ex,p)
%cell vector of in directories
%reg_ex regular expression to select files
%p parameter, if p.preproc_subdir is defined it will lock in this subdir
% and if not exist il will create it and copy the files in this subdir
if ~exist('p'), p=struct;... |
07d695ced35dc1ff2f10f70b9d733ab5f1b9f7e342f4b1997882dbf2195ceaad | MATLAB | 2,985 | 86 | function autocorrelatemap(exp_id,hemisphere)
%% Show overview of experiment statistics
%
% autocorrelatemap(exp_id,[hemisphere])
%
% Input:
% exp_id: experiment id of experiment file (e.g. '100140756')
% hemisphere: set to 'contra' to show contralateral projections (default:
% 'ipsi' - show ipsilateral projec... |
7458ce8dba1531aa4145c26a73d74df87015e24c97e39bc1eb6bd3fb39e2f3ce | MATLAB | 2,986 | 71 | [app.file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
app.datafile = fullfile(path, app.file); %save path
file_numes = length(app.datafile);
app.all_files = cell(1, file_numes);
for i = 1:file_numes
app.all_f... |
a7b9b8ce5a63f38b5672a673c802641cd75e968a8b86a16353eb988b70ef45a2 | MATLAB | 2,986 | 66 | function [dispFeatures, spikeTimesSecs, YLabel, dispSpikes] = getFigTimeFeatures(hClust, iSite, iCluster,channel_idx)
%GETFIGTIMEFEATURES Compute features to display in FigTime on iSite
if nargin < 3 % get features off of background spikes
iCluster = [];
channel_idx = 1:length(hClust.spikesBySit... |
c47a9c1d5d9bf550107e7458d67668ab624c430d34942d5b8457aebfc160fc2e | MATLAB | 2,986 | 85 | function [output, criterion] = PeriodicDeflDecompositionKF(dat,Itr,peaks, bins, f0, fs)
%
% [output criterion] = PeriodicDeflDecompositionKF(dat,Itr,peaks, bins, f0, fs)
% (maternal) cardiac signal supression by deflation using periodic component
% analysis and extended Kalman filtering for nonlinear denoising.
%
% Ref... |
e09da0fb5ebfb80a801016564dd651dd6b63fa51fe972095087878fe28e46124 | MATLAB | 2,987 | 175 | function write_conc_res_summary_gosia_to_csv(conc,resname,field_list)
dottest=1;
stdrel=0;
if ~exist('field_list')
% field_list = fieldnames(conc);
field_list = find_metab_list(conc);
end
fid = fopen(resname,'w+');
npool=1;
fprintf(fid,'\n\n,');
for kf = 1:length(field_list)
fprintf(fid,',%s,%s,%s',field_... |
e94a3fef88ff64f1fd75878fbc7fa824d41d6b76a5e06c4eccffe18db86b7137 | MATLAB | 2,988 | 92 | %{
----------------------------------------------------------------------------
Analyzing behavioral data
At least for the correct rate
----------------------------------------------------------------------------
%}
function Figure2c_Dual_RL_analysis_220818_para_compare
close all
analysis_folder = {
'G:\... |
be0261626cbbcb7d62587e6676e6cdf9c02aa196ac995436dc98d1c28355c37e | MATLAB | 2,990 | 91 | function roi = readRawROI(obj, rows, cols)
%READRAWROI Get a region of interest by rows/cols from the raw file
% How many data blocks remain in this file?
bytesRemaining = obj.fSizeBytes - obj.headerOffset;
dataPresent = (bytesRemaining > 0);
if (dataPresent)
if ~obj.rawIsOpen
o... |
e15d94fcebefbaeb275a61e207013981fd4dc2ce742a77d2b4e5ea2a06542c18 | MATLAB | 2,991 | 98 | function uninstall(pddir)
%UNINSTALL Uninstall toolbox directories.
% UNINSTALL is an easy to use uninstallation program for toolboxes.
% It uninstalls toolbox directories when run from the base directory
% of a toolbox. A file "info.ins" created by MAKEINSTALL must exist
% in this directory.
% Example of us... |
d095f7d736ca114011cb73599d5419407f708baf9f18d1dfc9b5fed3efc1e5ae | MATLAB | 2,993 | 116 | %
% Test program for noise generation.
%
% Dependencies: The baseline wander toolbox of the Open Source ECG Toolbox
%
% Open Source ECG Toolbox, version 1.0, November 2006
% Released under the GNU General Public License
% Copyright (C) 2006 Reza Sameni
% Sharif University of Technology, Tehran, Iran -- LIS-INP... |
902002618fb17f97dc408825a95213af31ff633e325e98bfaad53558689787a0 | MATLAB | 2,995 | 90 | function varargout = barwitherr(errors,varargin)
% Check how the function has been called based on requirements for "bar"
if nargin < 3
% This is the same as calling bar(y)
values = varargin{1};
xOrder = 1:size(values,1);
else
% This means extra parameters have been specified
if isscalar(v... |
c8d0165aab9c67ef0b2c766860a19c891a2e3324bb424e150b19d09a941b8dd6 | MATLAB | 2,995 | 99 | % my first submission resulted in a score: 0.57797
clear
close all;
R1 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testFreqDomainEnergyIncreaseRate01.txt');
R2 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testICASubspaceAng... |
fc27073c3725154fc0140ff49983420a95200d798837497a891bf3429c38054c | MATLAB | 2,995 | 80 | function Nlx2Mat2Nlx
%tetrodeÌ{Ƶ½¢tH_¼ð·×ÄLü
%uÅÌtH_+}EX¼{joinvÆ¢¤tH_ªì¬³êeg[h²Æɳê½nttt@CÆ
%Event.matªÛ¶³êéB
clear all;
CoreFolder='C:\Users\B133_2\Desktop\CheetahData';
NumTetrode=8;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
f6bc6fb0547a66a79598e6489702b60fea23ca816dca201748202d24fb41bdf4 | MATLAB | 2,996 | 107 | % analyze action initiation:
% there is a delay between action start and tone end
% what is the distribution of this delay over trials / tasks
% - figure out action start using diff(spd)
% - align to action start vs align to tone end
%% load data
clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData... |
354f446d52e2a0cabb10fc12e6246773bb8a67fea93e96f975fc865a2ca2e1d7 | MATLAB | 2,998 | 83 | clear all
close all
clc
constants;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Load parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
import_data;
import_survival;
folder_fit = './fit_PT_met_SAEM';
[param_inds, param_ind_d] = compute_param_inds(..... |
388ae9deae2abcefa999847310b0efd41d57639acc26a8e8a37e2bceaea82b15 | MATLAB | 3,001 | 94 | % The goal of this functions is to take an input firing rate map with
% arbitrary rectangular shape, then take the first HC, then output another
% firing rate map with arbitrary rectangular shape based on rotating the HC
% periodicly.
%
% The used HC can be rotated or flipped to implement ICs based on NESSs of
% dif... |
7a330a7e661baebfd6dde1388bd2389121d7c0f901f9c4a90940fe23e468eaef | MATLAB | 3,005 | 90 | clear all, close all
load DC_data.mat
% Color scheme
color = flipud(['#0b499d';
'#0e5fce';
'#1d77f1';
'#3585f3';
'#4c94f5';
'#64a2f7';
'#94bffa']);
%% Zoom plot alt.
fig = figure(2);
fig.Position = [20 20 400 700];
colororder(color);
fig.Color = [1 1 1];
tiledlayout(2, 1, "Til... |
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