Time- and frequency-domain X-block least-mean-square algorithms for active noise control

Qun Shen, Andreas Spanias

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

In this paper, X-block least-mean-square (LMS) adaptive algorithms are presented for time-and frequency-domain active noise control. The algorithms are essentially extensions of the well-known block-mean-square (BLMS) algorithms to the filtered-X structure. The X-filter block algorithms are formulated for time- and frequency-domain implementation. In addition, time varying convergence factors are derived for all the X-block LMS algorithms presented. Time-varying convergence factors improve the adaptation speed of the algorithm at the expense of additional computational complexity. The complexity of the proposed algorithms is also discussed and the computational efficiency of frequency-domain implementations is evaluated with different filter lengths. The algorithms are applied to active noise control and results are presented with computer simulations and real-time experiments.

Original languageEnglish (US)
Pages (from-to)281-293
Number of pages13
JournalNoise Control Engineering Journal
Volume44
Issue number6
StatePublished - Nov 1996

Fingerprint

Active noise control
Least-Squares Analysis
Noise
filters
Adaptive algorithms
Computational efficiency
Computational complexity
Computer Simulation
computerized simulation
Computer simulation

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Acoustics and Ultrasonics

Cite this

Time- and frequency-domain X-block least-mean-square algorithms for active noise control. / Shen, Qun; Spanias, Andreas.

In: Noise Control Engineering Journal, Vol. 44, No. 6, 11.1996, p. 281-293.

Research output: Contribution to journalArticle

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