Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSA.2003.818111
Title: Lossless Compression of Digital Audio Using Cascaded RLS-LMS Prediction
Authors: Yu, R.
Ko, C.C. 
Keywords: Adaptive filter
Linear prediction
LMS algorithm
Lossless audio coding
RLS algorithm
Issue Date: Nov-2003
Source: Yu, R., Ko, C.C. (2003-11). Lossless Compression of Digital Audio Using Cascaded RLS-LMS Prediction. IEEE Transactions on Speech and Audio Processing 11 (6) : 532-537. ScholarBank@NUS Repository. https://doi.org/10.1109/TSA.2003.818111
Abstract: This paper proposes a cascaded RLS-LMS predictor for lossless audio coding. In this proposed predictor, a high-order LMS predictor is employed to model the ample tonal and harmonic components of the audio signal for optimal prediction gain performance. To solve the slow convergence problem of the LMS algorithm with colored inputs, a low-order RLS predictor is cascaded prior to the LMS predictor to remove the spectral tilt of the audio signal. This cascaded RLS-LMS structure effectively mitigates the slow convergence problem of the LMS algorithm and provides superior prediction gain performance compared with the conventional LMS predictor, resulting in a better overall compression performance.
Source Title: IEEE Transactions on Speech and Audio Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/56522
ISSN: 10636676
DOI: 10.1109/TSA.2003.818111
Appears in Collections:Staff Publications

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