Orthogonalized algorithms for FIR ANC adaptive systems

D. Tapia-Sanchez, R. B. Bello, H. Perez-Meana, M. Nakano-Miyatake

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Active noise cancellation algorithms (ANC) based on modification of filtered-x least mean squares (FxLMS) and filtered-x recursive least squares (FxRLS) algorithms are proposed, which are a direct consequence of using an orthogonal transform for decomposing the filter input into a number of finite and mutually near orthogonal signal components. The most important advantage of this approach is that it admits processing schemes in which each signal component can be independently processed. Computer simulation results are given to show the desirable features of proposed schemes.

Original languageEnglish
Title of host publication4th International Conference on Antenna Theory and Techniques, ICATT 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages337-340
Number of pages4
ISBN (Electronic)0780378814, 9780780378810
DOIs
StatePublished - 2003
Event4th International Conference on Antenna Theory and Techniques, ICATT 2003 - Sevastopol, Ukraine
Duration: 9 Sep 200312 Sep 2003

Publication series

Name4th International Conference on Antenna Theory and Techniques, ICATT 2003
Volume1

Conference

Conference4th International Conference on Antenna Theory and Techniques, ICATT 2003
Country/TerritoryUkraine
CitySevastopol
Period9/09/0312/09/03

Keywords

  • Acoustic noise
  • Active noise reduction
  • Adaptive filters
  • Adaptive systems
  • Finite impulse response filter
  • Least squares approximation
  • Noise cancellation
  • Signal processing algorithms
  • Transversal filters
  • Working environment noise

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