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Convolution and polynomial multiplication
Syntax
w = conv(u,v)
Description
w = conv(u,v)
convolves vectors u and v. Algebraically, convolution is the same operation as multiplying the polynomials whose coefficients are the elements of u and v.
Definition
Letm = length(u) and n = length(v). Then w is the vector of length m+n-1 whose kth element is
j which lead to legal subscripts for u(j) and v(k+1-j), specifically j = max(1,k+1-n): min(k,m). When m = n, this gives
w(1) = u(1)*v(1) w(2) = u(1)*v(2)+u(2)*v(1) w(3) = u(1)*v(3)+u(2)*v(2)+u(3)*v(1) ... w(n) = u(1)*v(n)+u(2)*v(n-1)+ ... +u(n)*v(1) ... w(2*n-1) = u(n)*v(n)
Algorithm
The convolution theorem says, roughly, that convolving two sequences is the same as multiplying their Fourier transforms. In order to make this precise, it is necessary to pad the two vectors with zeros and ignore roundoff error. Thus, if X = fft([x zeros(1,length(y)-1)]) and Y = fft([y zeros(1,length(x)-1)])See Also
convmtx and xcorr in the Signal Processing Toolbox, and:
deconv, filter