Title :
The root lattices as low bit rate vector quantizers
Author :
Rost, Martin C. ; Sayood, Khalid
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
fDate :
9/1/1988 12:00:00 AM
Abstract :
Vector quantizers based on the A and D lattices are explored, using the mean square error (MSE) fidelity criterion for independent identically distributed sources with normal, Laplacian, and gamma probability density functions. Code books are studied for uniform coding rates of up to 2 b/sample and two and four dimensions. The expected MSE performance of the quantizers is better than that of optimal (nonuniform) Lloyd-Max quantizers. While the design algorithm presented offers only modest improvements in MSE performance for a normally distributed source, improvement gains of up to several decibels can be achieved when coding Laplacian and gamma sources
Keywords :
analogue-digital conversion; codes; encoding; probability; Laplacian probability density functions; code books; gamma probability density functions; independent identically distributed sources; low bit rate vector quantizers; mean square error fidelity criterion; normal probability density functions; root lattices; uniform coding rates; Bit rate; Books; Buildings; Circuits and systems; Distortion measurement; Laplace equations; Lattices; Probability density function; Quantization; Tree data structures;
Journal_Title :
Information Theory, IEEE Transactions on