Lossless compression of high fidelity audio and adaptive linear prediction

Author

Adams, Andrew L. ; McLaughlin, Steven W.

Author_Institution

Harris RF Commun., Rochester, NY, USA

Volume

5

fYear

1995

fDate

9-12 May 1995

Firstpage

3091

Abstract

We consider the lossless compression of high fidelity (e.g. 16-bit) digital audio using adaptive linear prediction. Both linear predictive coding (LPC) and least mean squares (LMS) predictors are considered. Preliminary results are presented for the compression of industry standard Sound Quality Assessment Material (SQAM) samples from 16 bits to 1.5-3 bits. Previous results by others on the same audio source was in the 8-bit range

Keywords

adaptive codes; adaptive signal processing; audio coding; entropy codes; least mean squares methods; linear predictive coding; prediction theory; signal reconstruction; 16 bit; adaptive linear prediction; digital audio; high fidelity audio; industry standard sound quality assessment material; least mean squares predictors; linear predictive coding; lossless compression; Acoustic materials; Decoding; Entropy; Finite impulse response filter; Least squares approximation; Linear predictive coding; Mean square error methods; Propagation losses; Quality assessment; Radio frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479499

Filename

479499