Date of Award
2018
Publication Type
Doctoral Thesis
Degree Name
Ph.D.
Department
Electrical and Computer Engineering
Supervisor
Mirhassani, Mitra
Supervisor
Wu, Jonathan
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
This thesis introduces implementation of mixed-signal building blocks of an artificial neural network; namely the neuron and the synaptic multiplier. This thesis, also, investigates the nonlinear dynamic behavior of a single artificial neuron and presents a Distributed Arithmetic (DA)-based Finite Impulse Response (FIR) filter. All the introduced structures are designed and custom laid out.
Recommended Citation
Youssefi, Bahar, "Mixed-Signal Neural Network Implementation with Programmable Neuron" (2018). Electronic Theses and Dissertations. 7410.
https://scholar.uwindsor.ca/etd/7410