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
收藏
页码：359 / 364
页数：6
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