Vector processor having instruction set with vector convolution function for fir filtering

Abstract

A vector processor is provided having an instruction set with a vector convolution function. The disclosed vector processor performs a convolution function between an input signal and a filter impulse response by obtaining a vector comprised of at least NN-input samples; obtaining Ntime shifted versions of the vector (including a zero shifted version), wherein each time shifted version comprises Nsamples; and performing a weighted sum of the time shifted versions of the vector by a vector of Ncoefficients; and producing an output vector comprising one output value for each of the weighted sums. The vector processor performs the method, for example, in response to one or more vector convolution software instructions having a vector input. The vector can comprise a plurality of real or complex input samples and the filter impulse response can be expressed using a plurality of coefficients that are real or complex.