Date of Award

Fall 1997

Document Type

Thesis

Degree Name

Master of Science in Computer Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Edwin Hou

Second Advisor

Nirwan Ansari

Third Advisor

MengChu Zhou

Abstract

Generalized Adaptive Neural Filters (GANF) are a class of adaptive non-linear filters. This thesis presents a hardware implementation of GANF. Two designs are considered: the single neuron implementation and the multi-neuron implementation. The GANF design includes the window generator, threshold decomposer, training and filtering unit. The designs are verified through a logic design/simulation tool, Logic Works.

Share

COinS