期刊
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
卷 14, 期 2, 页码 711-719出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSA.2005.855828
关键词
active noise control (ANC); active sound-profiling; adaptive noise equalizer (ANE); command-FXLMS; filtered-X least mean square (FXLMS); internal model FXLMS; PSC-FXLMS
Three novel adaptive algorithms are proposed for use in active sound-profiling, all based on the filtered-X least mean square (FXLMS) approach. The algorithms are analyzed for their stability properties and control effort load, and are compared with the currently used adaptive noise equalizer least mean square (ANE-LMS) algorithm. It is found that the most suitable algorithm, both in simulations and experimentally, is the phase scheduled command FXLMS (PSC-FXLMS), which possesses both low control effort and good stability in the face of plant model misestimation, especially when using an automatic phase command law.
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