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This paper describes the design of a hearing aid using digital techniques. The Amplitude Compression Amplifier and Digital Filter are discussed. General review of different filter types are presented as background for the design of Digital Filters. The design procedure for Digital Filters and the software program for the Intel-2920 signal processor are created. Finally, the program is tested by simulation via the 2920-Simulator.

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published_or_final_version / Mathematics / Master / Master of Philosophy

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by Tai Leong Charn. / Bibliography: leaves R-i-iii / Thesis (M.Phil.)--Chinese University of Hong Kong, 1983

Chok-ki Chan. / Bibliography: leaves 117-122 / Thesis (Ph.D.) - Chinese University of Hong Kong, 1984

Thesis. 1975. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / Includes bibliographical references. / by Thomas Francis Quatieri, Jr. / M.S.

by Hu, Chen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 36-39). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Noise Model --- p.1 / Chapter 1.1.1 --- Impulse Noise --- p.1 / Chapter 1.2 --- Removing Impulse Noise --- p.2 / Chapter 1.2.1 --- Nonlinear Filter --- p.3 / Chapter 1.2.2 --- Variational Method --- p.4 / Chapter 1.3 --- Organization of the Dissertation --- p.5 / Chapter 2 --- Review of ACWMF and DPVM --- p.7 / Chapter 2.1 --- Review of ACWMF --- p.7 / Chapter 2.2 --- Review of DPVM --- p.9 / Chapter 2.2.1 --- Minimization Scheme --- p.9 / Chapter 3 --- Two-Phase Iterative Method --- p.12 / Chapter 3.1 --- Introduction --- p.12 / Chapter 3.2 --- Two-Phase Scheme --- p.13 / Chapter 3.2.1 --- Detection Phase --- p.13 / Chapter 3.2.2 --- Restoration Phase --- p.13 / Chapter 3.2.3 --- Summary of the Algorithm --- p.14 / Chapter 4 --- Nonlinear Equation Solver --- p.16 / Chapter 4.1 --- Introduction --- p.16 / Chapter 4.2 --- Newton's Method --- p.17 / Chapter 4.2.1 --- Newton's Method --- p.17 / Chapter 4.2.2 --- Order of Convergence --- p.17 / Chapter 4.3 --- Secant Method --- p.19 / Chapter 4.3.1 --- Secant Method --- p.19 / Chapter 4.3.2 --- Order of Convergence --- p.19 / Chapter 4.4 --- Secant-like Method --- p.21 / Chapter 4.4.1 --- Secant-like Method --- p.21 / Chapter 4.4.2 --- Order of Convergence --- p.24 / Chapter 5 --- Numerical Experiments --- p.27 / Chapter 5.1 --- Removing Noise --- p.27 / Chapter 5.2 --- Complexity of Algorithm --- p.33 / Chapter 6 --- Concluding Remarks --- p.35 / Bibliography --- p.36