Linear Prediction Algorithms for Lossless Audio Data Compression

被引：0

作者：

Telyatnikov, L. S. ^{[1
]}

Karandashev, I. M. ^{[1
]}

机构：

[1] Russian Acad Sci, Sci Res Inst Syst Anal, Moscow, Russia

来源：

ADVANCES IN NEURAL COMPUTATION, MACHINE LEARNING, AND COGNITIVE RESEARCH III | 2020年 / 856卷

关键词：

LPC; FLPC; Codec; Sampling; Compression;

D O I：

10.1007/978-3-030-30425-6_42

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：359 / 364

页数：6

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