Active Noise Canceling: Structures and Adaption Algorithms

Active Noise Canceling: Structures and Adaption Algorithms

Hector Perez-Meana (National Polytechnic Institute, Mexico) and Mariko Nakano-Miyatake (National Polytechnic Institute, Mexico)
DOI: 10.4018/978-1-59904-132-2.ch009
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Abstract

Some of the main problems present in active noise cancellations are the feedback distortion due to the acoustic feedback between the cancellation speaker and the input microphone; the high computational complexity when recursive least square algorithms are used; and the secondary path estimation. This chapter presents a review of some successful solutions to these problems, such as a hybrid structure to reduce the feedback distortion; active noise cancellation (ANC) FxRLS algorithms in which the filter input signal is decomposed into a finite number; and mutually near orthogonal signal components, as well as successful secondary path estimation algorithms. Computer simulation results confirm the desirable properties of presented ANC structures.

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