Análise de Mínimos Quadrados do Cancelamento de Realimentação Acústica

Cézar F. Yamamura, Wellington M. da S. Nogueira, Bruno C. Bispo

DOI: 10.14209/sbrt.2017.135

Evento: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2017)

Keywords: Acoustic feedback cancellation sound reinforcement system adaptive filtering least squares

Abstract

This work presents a study, using the least squares estimation theory, about the existence of bias in the estimate and the slow convergence of the traditional adaptive filtering algorithms when applied in acoustic feedback cancellation. These facts are exemplified using speech signals and the RLS algorithm.

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