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RLS algorithm in active noise control

Research output: Contribution to journal › Article › peer-review

Abstract

Although the least mean squares (LMS) method is the most popular among adaptation algorithms used for active noise control, it has some disadvantages, such as steady-state error and slow convergence for some signals. This article presents results of active noise control in an acoustic duct obtained with a recursive least squares algorithm. Results are compared to those obtained with an LMS algorithm.

Original languageEnglish
Pages (from-to)58-59
Number of pages2
JournalShock and Vibration Digest
Volume32
Issue number1
Publication statusPublished - Jan 2000

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes

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