Paper
2 May 1994 Overview of the MPEG/audio compression algorithm
Davis Y. Pan
Author Affiliations +
Proceedings Volume 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies; (1994) https://doi.org/10.1117/12.174960
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
This paper gives a summary of the MPEG/audio compression algorithm. This algorithm was developed by the Motion Picture Experts Group (MPEG), as an International Organization for Standardization standard for the high fidelity compression of digital audio. The MPEG/audio compression standard is one part of a multiple part standard that addresses the compression of video (11172-2), the compression of audio (11172-3), and the synchronization of the audio, video, and related data streams (11172-1) to an aggregate bit rate of about 1.5 Mbit/sec. The MPEG/audio standard also can be used for audio-only applications to compress high fidelity audio data at much lower bit rates. While the MPEG/audio compression algorithm is lossy, often it can provide `transparent', perceptually lossless, compression even with compression factors of 6-to-1 or more. The algorithm works by exploiting the perceptual weaknesses of the human ear. This paper also will cover the basics of psychoacoustic modeling and the methods used by the MPEG/audio algorithm to compress audio data with least perceptible degradation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Davis Y. Pan "Overview of the MPEG/audio compression algorithm", Proc. SPIE 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies, (2 May 1994); https://doi.org/10.1117/12.174960
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

Data modeling

Quantization

Standards development

Ear

Interference (communication)

Signal to noise ratio

RELATED CONTENT


Back to Top