A design method of DWT analog neuro chip for VLSI implementation

Discrete Walsh transform (DWT) is one of the most important techniques as well as the discrete Fourier transform (DFT) in the field of signal processing. We have proposed the 8-bits DWT neuro chip based on Hopfield linear programming neural networks, which keeps the error less than 1% and carries out the DWT within 30 nano-seconds. In this paper, we show an effective design method of a DWT analog neural processor which is obtained by using the 8-bits DWT neural networks as modules.