Please use this identifier to cite or link to this item:
|Title:||Lossless Compression of Digital Audio Using Cascaded RLS-LMS Prediction|
Lossless audio coding
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Feb 6, 2018
checked on Feb 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.