Dissertation/Thesis Abstract

A simplified hybrid active noise control algorithm for commercial headset applications
by Raghunandan, Siddharth, M.S., California State University, Long Beach, 2016, 44; 10014954
Abstract (Summary)

This paper proposes a simplified hybrid adaptive feedback algorithm along with design constraints for active noise control in open-backed commercial headsets. It is physically improbable in practice to achieve complete noise cancellation, especially in open backed conditions. This inherent property suggests that the residual noise can be used as a reference signal directly to adapt a leaky feedback FxLMS algorithm. A fixed analog feedback controller is concatenated into the FxLMS system, whose design constraints are derived from existing feedback based active and passive control systems. The resulting simplified hybrid algorithm using analog elements and digital elements, provides adequate noise control of both broadband and narrowband ranges, remaining robustly stable in open-backed plant changes throughout. A lighter computational load along with ease of implementation is also accomplished. The proposed algorithm’s feasibility and relative performance are compared with other variants in a simulated acoustic environment using MATLAB’s Audio Stream Processing Toolbox.

Indexing (document details)
Advisor: Yeh, Hen-Geul
Commitee: Ary, James, Chassiakos, Anastasios
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/03M(E), Masters Abstracts International
Subjects: Electrical engineering, Acoustics
Keywords: Active noise control, Adaptive filters, Fxlms, Headset
Publication Number: 10014954
ISBN: 978-1-339-48882-0
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