An RLS-LMS algorithm for lossless audio coding

Author

Yu, R. ; Ko, C.C. ; Rahardja, S. ; Lin, X.

Author_Institution

Inst. for Infocomm Res., A*STAR, Singapore, Singapore

Volume

1

fYear

2003

fDate

9-12 Nov. 2003

Firstpage

300

Abstract

This paper proposes a cascaded RLS-LMS algorithm to mitigate the slow convergence problem of the LMS algorithm for highly colored inputs. The proposed algorithm has been successfully used to construct a large-order adaptive FlR predictor for lossless audio coding to model the ample tonal and harmonic components of general audio signals. It is found in our experiments that the RLS-LMS predictor provides superior prediction gain performance compared with the conventional LMS predictor, resulting in a better overall compression performance.

Keywords

audio coding; convergence of numerical methods; eigenvalues and eigenfunctions; least mean squares methods; RLS-LMS algorithm; adaptive FlR predictor; audio signals; eigenvalue spread; least mean square; lossless audio coding; recursive least square; slow convergence problem; Audio coding; Convergence; Decorrelation; Eigenvalues and eigenfunctions; Finite impulse response filter; Least squares approximation; Performance gain; Phase change materials; Predictive models; Resonance light scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on

Print_ISBN

0-7803-8104-1

Type

conf

DOI

10.1109/ACSSC.2003.1291925

Filename

1291925