Title
Model-based deadzone optimization for stack-run audio coding with uniform scalar quantization
Abstract
In this paper we present a model-based method to optimize the dead- zone of uniform scalar quantization in transform audio coding. The input signal is coded in modified discrete cosine transform (MDCT) domain by uniform scalar quantization followed by context-based arithmetic coding. The optimal deadzone is derived using a non- asymptotic method, assuming that the distribution of MDCT coefficients is approximated by a generalized Gaussian model. We show that deadzone optimization improves slightly quality, especially at low bitrates.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518721
Las Vegas, NV
Keywords
Field
DocType
Gaussian processes,approximation theory,audio coding,discrete cosine transforms,optimisation,quantisation (signal),approximation theory,context-based arithmetic coding,generalized Gaussian model,model-based deadzone optimization,modified discrete cosine transform,nonasymptotic method,stack-run audio coding,uniform scalar quantization,Transform coding,audio coding
Dead zone,Mathematical optimization,Computer science,Modified discrete cosine transform,Approximation theory,Transform coding,Coding (social sciences),Gaussian network model,Gaussian process,Arithmetic coding
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-1484-0
978-1-4244-1484-0
3
PageRank 
References 
Authors
0.49
5
3
Name
Order
Citations
PageRank
marie oger1122.82
stephane ragot2304.98
Antonini, M.330.49