Document Type
Thesis
Date of Award
Fall 1-31-1998
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.
Recommended Citation
Tam, Chun Yip, "Design and implementation of generalized adaptive neural filters" (1998). Theses. 967.
https://digitalcommons.njit.edu/theses/967
