High sampling rate audio signal modeling

Su Xinrong, Dongyan Huang, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In this paper, we study the issue of the high sampling rate audio modeling for lossless audio coding. We propose a cascade LMS structure to successfully model all high sampling rate audio signals. This cascade structure predictor, not only performs better than its counterpart FTR linear prediction coding (LPC) technique in modeling general audio signals, but also displays a faster convergence and smaller mean square error (MSE) than conventional LMS predictor and low-order stages cascade LMS predictor, while the complexity of the proposed predictor remains simple. The simulation results show that the proposed structure gets better prediction gain compared with Monkey's audio codec and MPEG-4 ALS codec provided by Technology University of Berlin (TUB) for real high sampling rate audio test set. Other adaption algorithms can be used for the single stages
Original languageEnglish
Title of host publicationIEEE
Subtitle of host publicationThirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004
Pages2310
Number of pages2314
Publication statusPublished - 7 Nov 2004

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