Linear prediction algorithms for lossless audio data compression

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Abstract

The paper considers the use of such linear interpolation algorithms as LPC, FLPC, and Wise-LPC in the lossless audio data compression. In addition to the interpolation methods, the problems of best coding and optimal sampling window selection are investigated. The Wise-LPC algorithm is shown to allow a 1–5% improvement of audio signal compression against conventional LPC and FLPC approaches. The prediction error has a Laplace distribution, its variance decreasing smoothly and reaching “saturation” with the growing window width.

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Telyatnikov, L. S., & Karandashev, I. M. (2020). Linear prediction algorithms for lossless audio data compression. In Studies in Computational Intelligence (Vol. 856, pp. 359–364). Springer Verlag. https://doi.org/10.1007/978-3-030-30425-6_42

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