Most design approaches for trellis-coded quantization take advantage of the duality of trellis-coded quantization with trellis-coded modulation, and use the same empiricallyfound convolutional codes to label the trellis branches. This letter presents an alternative approach that instead takes advantage of maximum-Hamming-distance convolutional codes. The proposed source codes are shown to be co...

This paper studies quantization error in the context of Matching Pursuit coded streams and proposes a new coefficient quantization scheme taking benefit of the Matching Pursuit properties. The coefficients energy in Matching Pursuit indeed decreases with the iteration number, and the decay rate can be upper-bounded with an exponential curve driven by the redundancy of the dictionary. The redund...

We study the potential merits of vector quantization and show that there can be an arbitrary discrepancy between the worst-case rates required for scalar and vector quantization. Specifically, we describe a random variable and a distortion measure where quantization of a single instance to within a given distortion requires an arbitrarily large number of bits in the worst case, but quantization...

This paper presents a vector quantization system that limits the maximum distortion introduced to a pre-selected threshold value. This system uses a recently introduced variation of the L 1 distortion measure that attempts to minimize the occurrences of quantization errors above a preselected threshold. The vectors are rst coded using the new distortion measure. The quantization error vectors i...

We present a construction of multiple description trellis-coded quantizers. We use the tensor product of trellises to build a trellis which is applicable to multiple description coding. The problems of index assignment and set partitioning for the resulting trellis are considered. The Viterbi algorithm provides the best path for encoding and the design procedure utilizes a generalized Lloyd alg...

Quantization is instrumental in enabling the rich feature set of JPEG 2000. Several quantization options are provided within JPEG 2000. Part I of the standard includes only uniform scalar dead-zone quantization, while Part II allows both generalized uniform scalar dead-zone quantization and trellis coded quantization (TCQ). In this paper, an overview of these quantization methods is provided. I...

AND LATTICE VECTOR QUANTIZATION Peter Monta and Shiufun Cheung Advanced Television and Signal Processing Group Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge, MA ABSTRACT We describe a perceptual audio coder that employs nonuniform hierarchical lterbanks and entropy-coded lattice vector quantization. The nonuniform lterbanks present a good match to critical-b...