Publication Date

1997

Document Type

Dissertation/Thesis

First Advisor

Kuo, Sen M. (Sen-Maw)

Degree Name

M.S. (Master of Science)

Department

Department of Electrical Engineering

LCSH

Loudspeakers||Crosstalk||Equalizers (Electronics)

Abstract

Three-dimensional sound effects depend on psychoacoustic spectral and phase cues being present in a reproduced signal. Cross-talk cancellation and dual-channel equalization using an adaptive filter network have the potential of greatly improving the three-dimensional perception of sound reproduced over two-channel loudspeaker systems. This thesis studies issues related to dual-channel equalization and cross-talk cancellation. First, some general psychoacoustic principles that lead to an accurate perception of the location of a sound source are discussed. Next, traditional methods of cross-talk cancellation and dual-channel equalization are introduced, and problems that correlated input signals pose for these algorithms are demonstrated. The dual-stage algorithm is developed to improve performance in the presence of these types of signals. The dualstage algorithm first models the direct path with a modified dual-channel modeling algorithm that uses a low level of additive uncorrelated, and then forms the inverse of the modeled path. Problems associated with inverting systems with nonminimum phase are discussed. Experimental results are presented from equalizing a signal and playing it through two loudspeakers in a real room. Both analytical and informal perceptual observations of the equalized signal are presented and discussed. This thesis addresses issues unresolved in previously published research, permitting movement toward a dual-channel equalization and cross-talk cancellation system that can function in a real-world environment.

Comments

Includes bibliographical references (pages [66]-67)

Extent

ix, 67 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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