| Paper: | AE-P3.11 | ||
| Session: | Broadband Coding, Perceptual Coding, and Auditory Modeling | ||
| Time: | Thursday, May 20, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Broadband and Perceptual Coding | ||
| Title: | PERFORMANCE ANALYSIS OF AN RLS-LMS ALGORITHM FOR LOSSLESS AUDIO COMPRESSION | ||
| Authors: | D.-Y. Huang; Institute for Infocomm Research | ||
| Abstract: | In this paper, we analyze the effect of the input signalcorrelation on the performance of an RLS-LMS based adaptive linear prediction algorithm for lossless audio compression. We show that the residual error power of the prediction is same for both correlated and uncorrelated input samples. However the variance of the residual error power of the algorithm increases as the signal variance increases, which may causes the numerical instability or stalling problem of the RLS algorithm. For real audio signals quantized at 16, 24 bit, experimental results show that the algorithm is capable of successfully modelling most audio signals quantized at 16 bit, butit can yield reduced performance gain for audio signals quantized at 24 bit, which confirm our theoretical analysis. Some approaches to solved the problem are pointed out. | ||
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