Multi-band noise canceller with reduced complexity

Author

Martins, Carlos R. ; Piedade, Moisés S.

Author_Institution

Dept. of Electron., ENIDH, Paco de Arcos, Portugal

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2565

Abstract

This paper presents a new LMS fast multi-band adaptive noise canceller (FMB-ANC) derived from a multi-band structure (MB-ANC) for speech applications with almost the same convergence speed of the original structure but presenting much lower computational costs. In turn, the output distortion due to crosstalk is dramatically decreased, improving the speech quality. The steady-state behavior of the MB-ANC is analyzed for a reference signal containing multiple sinusoids in white noise. It is shown that splitting the input signals in sub-bands increases the level of sinusoids cancellation

Keywords

adaptive signal processing; computational complexity; interference suppression; least mean squares methods; speech processing; white noise; FMB-ANC; LMS fast multi-band adaptive noise canceller; computational complexity; convergence; crosstalk; distortion; sinusoid; speech signal; white noise; Adaptive filters; Convergence; Crosstalk; Least squares approximation; Noise cancellation; Noise generators; Noise level; Noise reduction; Speech enhancement; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.612848

Filename

612848