cconv() - Signal Processing

Circular convolution is used to convolve two discrete Fourier transform (DFT) sequences. For long sequences, circular convolution can be faster than linear convolution.
c = cconv(a,b,n) circularly convolves vectors a and b. n is the length of the resulting vector. If you omit n, it defaults to length(a)+length(b)-1. When n = length(a)+length(b)-1, the circular convolution is equivalent to the linear convolution computed with conv. You can also use cconv to compute the circular cross-correlation of two sequences.
c = cconv(gpuArrayA,gpuArrayB,n) returns the circular convolution of the input vectors of class gpuArray.

Syntax

c = cconv(a,b,n)
c = cconv(gpuArrayA,gpuArrayB,n)

Example

%Generate two vectors and compute their modulo-4 circular convolution.
a = [2 1 2 1];
b = [1 2 3 4];
c = cconv(a,b,4)

Output / Return Value

c =

    14    16    14    16

Limitations

Alternatives / See Also

Reference

http://in.mathworks.com/help/signal/ref/cconv.html