Author

Yong Yan

Publication Date

1992

Document Type

Dissertation/Thesis

First Advisor

Kuo, Sen M. (Sen-Maw)

Degree Name

M.S. (Master of Science)

Department

Department of Electrical Engineering

LCSH

Algorithms||Noise control

Abstract

Active noise cancellation is a new technology for noise control. It reduces the unwanted noise by generating another out-of-phase noise so that the two result in destructive interference. Because of the changing nature of noise signals and environment, sophisticated adaptive signal processing techniques have to be used to achieve good results. High speed digital signal processors are also required to implement these complicated algorithms. A particularly difficult problem in the commonly used active noise cancellation configuration is the on-line system identification of the auxiliary path and error path, required for the proper convergence of the LMS algorithm for noise cancellation. The algorithms already proposed are not satisfactory. A new algorithm, using a "parallel path difference" scheme, is developed theoretically. It splits the input signal into the odd and even numbered sequences by switching between two paths and calculates the error path using the difference of the signals from the two paths. Simulation results successfully prove the validity of the theory and the feasibility of the new algorithm. Steady state and dynamic performance are analyzed.

Comments

Includes bibliographical references (pages [63]-65)

Extent

vii, 77 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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