Author

Ajit Joshi

Publication Date

1998

Document Type

Dissertation/Thesis

First Advisor

Kuo, Sen M. (Sen-Maw)

Degree Name

M.S. (Master of Science)

Department

Department of Electrical Engineering

LCSH

Noise control||Application specific integrated circuits||Field programmable gate arrays||Signal processing--Digital techniques

Abstract

Periodic noise in a quiet atmosphere can be very painful and may cause distress and loss of concentration. The work of this thesis consists o f verification of a periodic Active Noise Control (ANC) algorithm using a digital signal processor TMS320C25 and implementation on an Application-Specific Integrated Circuit (ASIC) in place of the digital signal processor using Field Programmable Gate Array (FPGA) technology. The algorithm used for periodic noise control is the Least Mean Square (LMS) algorithm which is optimized for the nature of the noise to be controlled. Since the noise is periodic, the optimization of the LMS algorithm provides a great reduction in computational complexity. The TPC-10 series FPGA package from Texas Instruments was used for making a prototype on an ASIC.

Comments

Includes bibliographical references (pages [75]-76)

Extent

viii, 76 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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