Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1291925
