A performance bound for a cascade LMS predictor

Author

Huang, D.Y. ; Su, X.-R.

Author_Institution

Media Div., Inst. for Infocomm Res., Singapore, Singapore

fYear

2005

fDate

23-26 May 2005

Firstpage

3135

Abstract

We study the performance of an FIR cascade structure for adaptive linear prediction, in which each FIR filter stage is independently adapted using an LMS algorithm. The performance bound is derived for the cascade LMS predictor under some assumptions. We discover that it is possible for this bound to be better than that of the linear predictive coding (LPC) technique using the block-based Levinson-Durbin algorithm if the cascade LMS predictor is well selected. We show some examples of this bound for synthetic and real audio signals in which a cascade LMS predictor outperforms the LPC technique using the Levinson-Durbin algorithm.

Keywords

FIR filters; adaptive filters; adaptive signal processing; audio signal processing; least mean squares methods; prediction theory; FIR cascade structure; FIR filter; LMS adaptive filter; adaptive linear prediction; audio signals; block-based Levinson-Durbin algorithm; cascade LMS predictor; linear predictive coding; Adaptive filters; Finite impulse response filter; Least squares approximation; Linear predictive coding; Performance analysis; Predictive models; Sensor arrays; Signal analysis; Signal processing algorithms; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1465292

Filename

1465292