Design and implementation of neuro-based discrete Walsh transform processor

Author

Kamio, Takeshi ; Ninomiya, Hiroshi ; Asai, Hideki

Author_Institution

Fac. of Eng., Shizuoka Univ., Hamamatsu, Japan

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

926

Abstract

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

Keywords

linear programming; Hopfield linear programming neural networks; SPICE simulations; discrete Walsh transform; hardware implementation; high accuracy; neuro-based discrete Walsh transform processor; rapid convergence; Analytical models; Convergence; Discrete Fourier transforms; Discrete transforms; Discrete wavelet transforms; Fourier transforms; Hopfield neural networks; Linear programming; Neural networks; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549021

Filename

549021