Title :
Some issues related to fixed-rate pruned tree-structured vector quantizers
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
fDate :
9/1/1995 12:00:00 AM
Abstract :
It is shown that the generalized BFOS algorithm is not optimal when it is used to design fixed-rate pruned tree-structured vector quantizers (PTSVQ). A simple modification is made in the algorithm which makes it optimal. However, experimental results show little difference between the rate-distortion curves generated with the original algorithm and the one proposed in the present paper. An asymptotic analysis is presented which shows how the two algorithms prune the TSVQ and explains why their results are so similar. The analysis also shows that in designing fixed-rate variable-depth TSVQs one can get as good a rate-distortion performance with a greedy TSVQ growing algorithm as with the optimal pruning of a large tree
Keywords :
optimisation; rate distortion theory; source coding; tree data structures; vector quantisation; PTSVQ; asymptotic analysis; fixed-rate pruned tree-structured vector quantizers; fixed-rate variable-depth TSVQ; generalized BFOS algorithm; greedy TSVQ growing algorithm; rate-distortion curves; rate-distortion performance; Algorithm design and analysis; Convolutional codes; Legged locomotion; Modulation coding; Notice of Violation; Performance analysis; Phase modulation; Rate-distortion; State-space methods; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on