MASC is a data compression algorithm that combines the application of multi-pulse excited linear predictive coding and sub-band coding. This paper first examines the perceptual advantage between the number of excitation pulses allocated versus the number of sub-bands required. An adaptive perceptual error weighting filter is also investigated to psychoacoustically motivate the pulse locations. Based upon the F-weighting function, it adapts according to the audio signals in each frame, thus coding information which matches the human hearing characteristic.

Authors: Tan, Roland K.; Hawksford, Malcolm J.
Affiliation: University of Essex, Audio Research Group, Department of Electronic Systems Engineering, Wivenhoe Park, Colchester, UK
AES Convention: 93 (October 1992) Paper Number: 3366
Publication Date: October 1, 1992 Import into BibTeX
Subject: Digital Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=6767

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes12)   /pp9193/pp9210/3426.pdf

Start a discussion about this paper!