Liang Chen

Publication Date

1990

Document Type

Dissertation/Thesis

First Advisor

Kuo, Sen M. (Sen-Maw)

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Electronic noise; Acoustic filters

Abstract

This thesis presents a new rescue technique to stabilize the Fast Transversal Filter (FTF) using the most efficient Recursive Least Squares (RLS) algorithm, and also introduces an active periodic noise cancellation using simplified FTF. 1) The Fast RLS algorithm is very sensitive to numerical error. Since the derivation of the algorithm is based on complete norm space (infinite precision), it is difficult to implement the finite word length Digital Signal Processors (DSPs). From an application point of view, a new rescue method is proposed. 2) The Stabilized FTF is applied to the active, periodic noise-cancellation system. Also, a reduced complexity version of FTF is given which can be implemented on the DSP chip.

Comments

Includes bibliographical references (pages [65]-68)

Extent

vii, 99 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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