Home > chronux > spectral_analysis > pointbinned > createdatamatpb.m

createdatamatpb

PURPOSE ^

SYNOPSIS ^

function data=createdatamatpb(data,E,Fs,win)

DESCRIPTION ^

 Helper function to create an event triggered matrix from a single
 channel of data. 
 Usage: data=createdatamatpb(data,E,Fs,win)
 Inputs:
 data   (input time series as a single vector) - required
 E      (events to use as triggers) - required 
 Fs     (sampling frequency of data) - required
 win    (window around triggers to use data matrix -[winl winr]) - required 
          e.g [1 1] uses a window starting 1 sec before E and
              ending 1 sec after E if E is in secs
 Note that E, Fs, and win must have consistent units 

 Outputs:
 data      (event triggered data)

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function data=createdatamatpb(data,E,Fs,win)
0002 %
0003 % Helper function to create an event triggered matrix from a single
0004 % channel of data.
0005 % Usage: data=createdatamatpb(data,E,Fs,win)
0006 % Inputs:
0007 % data   (input time series as a single vector) - required
0008 % E      (events to use as triggers) - required
0009 % Fs     (sampling frequency of data) - required
0010 % win    (window around triggers to use data matrix -[winl winr]) - required
0011 %          e.g [1 1] uses a window starting 1 sec before E and
0012 %              ending 1 sec after E if E is in secs
0013 % Note that E, Fs, and win must have consistent units
0014 %
0015 % Outputs:
0016 % data      (event triggered data)
0017 %
0018 if nargin < 4
0019    error('Need all input arguments'); 
0020 end
0021 NE=length(E);
0022 nwinl=round(win(1)*Fs);
0023 nwinr=round(win(2)*Fs);
0024 nE=floor(E*Fs)+1;
0025 datatmp=[];
0026 for n=1:NE;
0027     indx=nE(n)-nwinl:nE(n)+nwinr-1; 
0028     datatmp=[datatmp data(indx)];
0029 end
0030 data=datatmp;

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