Practical considerations in the implementation of a frequency-domain adaptive noise canceller

Author

Deisher, Michael E. ; Spanias, Andreas S.

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

Volume

41

Issue

2

fYear

1994

fDate

2/1/1994 12:00:00 AM

Firstpage

164

Lastpage

168

Abstract

This paper is concerned with problems evolving around the implementation of a frequency-domain adaptive noise canceller on a fixed-point signal processor. In particular, we propose methods to improve the convergence speed and reduce the computational complexity of a constrained frequency-domain algorithm that uses a time-varying step size. In addition, we study the effects of finite word length and fixed-point arithmetic. Improvements are realized by adopting a new data reusing scheme and by applying running and pruned FFT´s. Results are given using synthetic data, as well as data from noise cancellation experiments

Keywords

adaptive filters; computational complexity; convergence; digital arithmetic; digital filters; fast Fourier transforms; filtering and prediction theory; interference suppression; signal processing; computational complexity; constrained frequency-domain algorithm; convergence speed; data reusing scheme; fast optimum block algorithm; finite word length; fixed-point arithmetic; fixed-point signal processor; frequency-domain adaptive noise canceller; noise cancellation experiments; pruned FFTs; time-varying step size; Active noise reduction; Adaptive signal processing; Arithmetic; Computational complexity; Convergence; Finite impulse response filter; Least squares approximation; Noise cancellation; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.281850

Filename

281850