FILTERBANK Apply filterbank Usage: c=filterbank(f,g,a); FILTERBANK(f,g,a) applies the filters given in g to the signal f. Each subband will be subsampled by a factor of a (the hop-size). In contrast to UFILTERBANK, a can be a vector so the hop-size can be channel-dependant. If f is a matrix, the transformation is applied to each column. The filters g must be a cell-array, where each entry in the cell array corresponds to an FIR filter. The output coefficients are stored a cell array. More precisely, the n'th cell of c, c{m}, is a 2D matrix of size M(n) xW and containing the output from the m'th channel subsampled at a rate of a(m). c{m}(n,l) is thus the value of the coefficient for time index n, frequency index m and signal channel l. The coefficients c computed from the signal f and the filterbank with windows g_m are defined by L-1 c_m(n+1) = sum f(l+1) * g_m (a(m)n-l+1) l=0 where an-l is computed modulo L. References: H. Boelcskei, F. Hlawatsch, and H. G. Feichtinger. Frame-theoretic analysis of oversampled filter banks. Signal Processing, IEEE Transactions on, 46(12):3256--3268, 2002.
Url: http://ltfat.github.io/doc/filterbank/filterbank.html
See also: ufilterbank, ifilterbank, pfilt.
Package: ltfat