CRP Toolbox Reference |
corrgramPurposeCalculate windowed cross correlation between two signals. Syntax
[c,l,t] = corrgram(...) c = corrgram(a,b) corrgram(a,b) Descriptionc = corrgram(a,b,maxlag,window,noverlap) calculates the windowed cross correlation between the signals in vector a and vector b. corrgram splits the signals into overlapping segments and forms the columns of c with their cross correlation values up to maximum lag specified by scalar maxlag. Each column of c contains the cross correlation function between the short-term, time-localized signals a and b. Time increases linearly across the columns of c, from left to right. Lag increases linearly down the rows, starting at -maxlag. If lengths of a and b differ, the shorter signal is filled with zeros. If n is the length of the signals, c is a matrix with 2*maxlag+1 rows and
c = corrgram(...,method) using either Pearson correlation ('pearson', default), Spearman's rank correlation ('spearman'), or Kendall's Tau ('kendall'). [c,l,t] = corrgram(...) returns a column of lag L and one of time T at which the correlation coefficients are computed. L has length equal to the number of rows of c, T has length k. c = corrgram(a,b) calculates windowed cross correlation using defeault settings; the defeaults are maxlag = floor(0.1n), window = floor(0.1*n) and noverlap = 0. You can tell corrgram to use the defeault for any parameter by leaving it off or using [] for that parameter, e.g. corrgram(a,b,[],1000). corrgram(a,b) with no output arguments plots the windowed cross correlation using the current figure. Examples
y = sin(0:.01:10*pi)' + .5 * randn(length(x),1); corrgram(x,y) See Also
corrcoeff,
corr,
xcorr,
migram |
arfit | crp |