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Low Complexity Recursive Least-Squares Algorithm for Adaptive Noise Cancellation

Authors:
Cristian Lucian Stanciu
Lucian Stanciu
Roxana Mihăescu

Keywords: adaptive noise cancellation; recursive leastsquares; dichotomous coordinate descent

Abstract:
Abstract—Adaptive Noise Cancellation (ANC) belongs to the interference cancellation class. It employs an adaptive filter to estimate a perturbation signal, which corrupts a primary acoustic source. In most of the corresponding applications, the goal is to imitate an original speech signal. This paper proposes the use of a low complexity recursive least-squares (RLS) adaptive algorithm for the ANC procedure. The combination between the RLS method and the dichotomous coordinate descent (DCD) iterations offers good performance with acceptable arithmetic costs. Simulation results are provided in order to demonstrate the validity of the ANC system based on the RLS-DCD adaptive algorithm.

Pages: 102 to 106

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-546-3

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017