Title :
Symmetric trellis-coded vector quantization
Author :
Belzer, Benjamin ; Villasenor, John D.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
11/1/1997 12:00:00 AM
Abstract :
We present here design techniques for trellis-coded vector quantizers with symmetric codebooks that facilitate low-complexity quantization as well as partitioning into equiprobable sets for trellis coding. The quantization performance of this coder on the independently identically distributed (i.i.d.) Laplacian source matches the performance of trellis-based scalar-vector quantization (TB-SVQ), but requires less computational complexity
Keywords :
computational complexity; source coding; trellis codes; vector quantisation; TCVQ; computational complexity; equiprobable sets; group codes; i.i.d. Laplacian source; independently identically distributed Laplacian source; low-complexity quantization; multidimensional vector codebooks; set partitioning; symmetric codebooks; trellis coding; trellis-coded vector quantization; Channel coding; Communications Society; Computational complexity; Convolutional codes; Indium tin oxide; Laplace equations; Modulation coding; Multidimensional systems; Source coding; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on
