We present here design techniques for trellis-coded vector quantizers with symmetric codebooks that facilitate lowcomplexity 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) [1], but requires less computational complexity.
Benjamin Belzer, John D. Villasenor