A DSP-based Neural Network Signal Processing System

摘要

Implementation of artificial neural network(ANN)is very important to theoretical studyand applications of ANN.On the basis of studying existing methods,this paper concentrateson the DSP-based virtual implementation of ANN.A parallel processing system composed ofTMS320C30 has been designed and configured,which ean provide a peak speed as high as100 MFLOPS and a parallel efficiency of 90%(during the forward phase of BP),and can heused for sonar signal processing.Scalability of the system is also studied.