Date of Award
Master of Science in Computer Engineering - (M.S.)
Electrical and Computer Engineering
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.
Tam, Chun Yip, "Design and implementation of generalized adaptive neural filters" (1997). Theses. 967.