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Dithered GMD Transform Coding

Weng, Ching-Chih and Vaidyanathan, P. P. and Su, Han-I (2010) Dithered GMD Transform Coding. IEEE Signal Processing Letters, 17 (5). pp. 457-460. ISSN 1070-9908. https://resolver.caltech.edu/CaltechAUTHORS:20170309-145012119

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Abstract

The geometric mean decomposition (GMD) transform coder (TC) was recently introduced and was shown to achieve the optimal coding gain without bit loading under the high bit rate assumption. However, the performance of the GMD transform coder is degraded in the low rate case. There are mainly two reasons for this degradation. First, the high bit rate quantizer model becomes invalid. Second, the quantization error is no longer negligible in the prediction process when the bit rate is low. In this letter, we introduce dithered quantization to tackle the first difficulty, and then redesign the precoders and predictors in the GMD transform coders to tackle the second. We propose two dithered GMD transform coders: the GMD subtractive dithered transform coder (GMD-SD) where the decoder has access to the dither information and the GMD nonsubtractive dithered transform coder (GMD-NSD) where the decoder has no knowledge about the dither. Under the uniform bit loading scheme in scalar quantizers, it is shown that the proposed dithered GMD transform coders perform significantly better than the original GMD coder in the low rate case.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/LSP.2010.2043887DOIArticle
http://ieeexplore.ieee.org/document/5419065/PublisherArticle
ORCID:
AuthorORCID
Vaidyanathan, P. P.0000-0003-3003-7042
Additional Information:© 2010 IEEE. Manuscript received November 20, 2009; revised February 11, 2010. First published February 22, 2010; current version published March 26, 2010. This work was supported in part by the the Office of Naval Research under Grant N00014-08-1-0709, and by Caltech. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Adrian Munteanu.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-08-1-0709
CaltechUNSPECIFIED
Subject Keywords:Bit allocation, dithered quantization, geometric mean decomposition, linear prediction, transform coding
Issue or Number:5
Record Number:CaltechAUTHORS:20170309-145012119
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170309-145012119
Official Citation:C. C. Weng, P. P. Vaidyanathan and H. I. Su, "Dithered GMD Transform Coding," in IEEE Signal Processing Letters, vol. 17, no. 5, pp. 457-460, May 2010. doi: 10.1109/LSP.2010.2043887
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75002
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:09 Mar 2017 22:56
Last Modified:09 Mar 2020 13:19

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