A frequency domain adaptive algorithm for colored measurement noise environment

Author

Trump, Tõnu

Author_Institution

Ericsson Radio Syst. AB, Stockholm, Sweden

Volume

3

fYear

1998

fDate

12-15 May 1998

Firstpage

1705

Abstract

The problem of incorporating partial knowledge of measurement noise into a frequency domain adaptive filtering scheme is addressed. The proposed algorithm is obtained by minimizing a BLUE criterion function using the stochastic gradient method and then switching over to the frequency domain to reduce the computational complexity. The performance of the algorithm in the situations of colored measurement noise is demonstrated by means of simulations using stationary as well as speech signals

Keywords

adaptive filters; adaptive signal processing; computational complexity; echo suppression; filtering theory; frequency-domain analysis; noise; speech processing; stochastic processes; BLUE criterion function; adaptive filtering; colored measurement noise environment; computational complexity reduction; frequency domain adaptive algorithm; performance; simulations; speech signals; stationary signals; stochastic gradient method; voice echo cancellation; Adaptive algorithm; Adaptive filters; Colored noise; Computational complexity; Computational modeling; Frequency domain analysis; Frequency measurement; Gradient methods; Noise measurement; Stochastic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681786

Filename

681786