Design and implementation of neuro-based discrete Walsh transform processor

The 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 theoretical design of a DWT processor based on Hopfield linear programming neural networks, and then we have also proved the rapid convergence and high accuracy of the DWT processor both analytically and by simulation. We show the experimental design and the hardware implementation of the neuro-based DWT processor. Finally, it is confirmed both by experiments and SPICE simulations that our processor is useful and practical