Paper Info
Title
Coding Overcomplete Representations of Audio Using the MCLT
Abstract
We propose a system for audio coding using the modulated complex lapped transform (MCLT). In general, it is difficult to encode signals using overcomplete representations without avoiding a penalty in rate-distortion performance. We show that the penalty can be significantly reduced for MCLT-based representations, without the need for iterative methods of sparsity reduction. We achieve that via a magnitude-phase polar quantization and the use of magnitude and phase prediction. Compared to systems based on quantization of orthogonal representations such as the modulated lapped transform (MLT), the new system allows for reduced warbling artifacts and more precise computation of frequency-domain auditory masking functions.
Year
DOI
Venue
2008
10.1109/DCC.2008.28
DCC
Keywords
Field
DocType
magnitude-phase polar quantization,audio coding,coding overcomplete representations,mclt-based representation,overcomplete representation,frequency-domain auditory,orthogonal representation,modulated complex,reduced warbling artifact,new system,iterative method,frequency domain analysis,audio compression,data compression,iterative methods,frequency domain,quantization,encoding,lapped transform,iteration method
Frequency domain,Auditory masking,Computer vision,Lapped transform,Computer science,Modulated complex lapped transform,Artificial intelligence,Quantization (signal processing),Data compression,Dynamic range compression,Encoding (memory)
Conference
Citations 
PageRank 
References 
4
0.43
11
Authors
2
Name
Order
Citations
PageRank
Byung-Jun Yoon129835.63
Henrique Malvar2690105.66