Title :
Unary prefixed Huffman coding for a group of quantized generalized Gaussian sources
Author :
Xue, Shang ; Oelmann, Bengt
Author_Institution :
Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall
fDate :
7/1/2006 12:00:00 AM
Abstract :
We propose a coding algorithm called unary prefixed Huffman (UPH) coding for a family of infinite sources called quantized generalized Gaussian (GG) sources. Compared with the existing codes for these GG sources, the UPH algorithm provides a more adaptive approach, and its coding efficiency is upper bounded by entropy +2
Keywords :
Gaussian processes; Huffman codes; entropy codes; source coding; entropy; quantized generalized Gaussian sources; unary prefixed Huffman coding; Entropy; Helium; Huffman coding; Laplace equations; Mercury (metals); Predictive models; Probability density function; Probability distribution; Quantization; Shape; Entropy coding; Huffman code; generalized Gaussian (GG) sources; prefix codes;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2006.876825
