DocumentCode
1009971
Title
Design and Analysis of a Successively Refinable Lattice Quantizer for i.i.d. Gaussian Sources
Author
Shoa, Alireza ; Shirani, Shahram
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON
Volume
57
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1222
Lastpage
1227
Abstract
A successively refinable quantizer is proposed for independent identically distributed (i.i.d.) Gaussian sources. Our quantizer is a successively refinable extension of the Gaussian source coding algorithm based on wrapped spherical codes designed by Hamkins and Zeger in [ldquoGaussian Source Coding With Spherical Codes,rdquo IEEE Transactions on Information Theory, vol. 4, no. 11, pp. 2980-2989, November 2002]. The proposed successively refinable quantizer is analyzed for the case of high resolution and optimum bit allocation is computed. Our simulation results show that our proposed quantizer outperforms other successively refinable quantizers designed for Gaussian sources.
Keywords
Gaussian processes; data compression; quantisation (signal); Gaussian source coding algorithm; bit allocation; data compression; independent identically distributed Gaussian sources; successively refinable lattice quantizer; wrapped spherical codes; Data compression; Gaussian source; lattice quantization;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2008.2010011
Filename
4689385
Link To Document