Date of Award
2000
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Electrical and Computer Engineering
Keywords
Engineering, Electronics and Electrical.
Supervisor
Ahmadi, M.
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 presents an enhanced version of a Genetic Algorithm to design discrete filter coefficients. This optimization based algorithm has the advantages of eliminating truncation error and quantization process in filter design, and to produce filters which are suitable for high speed signal processing applications. We have examined the usefulness of various error norms, such as Least Mean Square and Minimax, and their impact on the convergence rate and the result. We also present the application of various encoding schemes applied to the filter coefficients and their effect on obtaining optimized filters. Examples of 1-D & 2-D FIR and 2-D IIR filters are provided to illustrate the design procedures and to determine the best Genetic Algorithm combinations for digital filter design. Source: Masters Abstracts International, Volume: 40-03, page: 0756. Adviser: Majid Ahmadi. Thesis (M.Sc.)--University of Windsor (Canada), 2000.
Recommended Citation
Lee, Alfred., "Design of one-dimensional and two-dimensional filters with finite-wordlength coefficients using genetic algorithms." (2000). Electronic Theses and Dissertations. 1665.
https://scholar.uwindsor.ca/etd/1665