MATLAB® Functions

 [m,z]=hist(x,a) m = counts in each bin; z = coordinates of the a bins; w = max(x)/length(z); bp = m/(w*a) = probability per bin; [r,p,k]=residue(nu,de) Example: F (z)= z2/z2−0.04, nu = [1 0 0], de =[1 0 −0.04], r = [0.1000 −0.1000], p= [0.2000 −0.2000],k = 1, hence F(z) = 0.1(z/(z − 0.2))− 0.1(z/(z + 0.2)) + 1, the inverse is f(n) = 0.1(0.2)n − 0.1(−0.2)n + δ(n); r= residues, p = poles [r]=xcorr(x,y,‘biased’) Produces a biased cross-correlation; if x = y, r = autocorrelation; the r is an N − symmetric function with respect to 0 [r]=xcorr(x,y,‘unbiased’) Produces an unbiased cross-correlation; if x = y, r = autocorrelation \omega Produces the lowercase omega, the same for the rest of the Greek letters \Omega Produces ...

Get Adaptive Filtering now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.