Identification set=up for coeffts. in fast Fourier transformation process - uses neural network to avoid need for sine and cosine functions to be calculated for each transformation

摘要

A neural network approach is used for the rapid identification of coefficients in a fast Fourier transformation process. In particular, the process reduces the identification to a single routine. The serial input of a serial to parallel shift register receives the continuous signal and the parallel outputs are received by the neurons of the network. An output stage consists of a further shift register (2) generating a serial output. The output is defined as an + summation of fi. ga, n, 1 for values of n from i-o to m1. ADVANTAGE - Reduces time to determine Fourier coeffts.