Quantization naturally exposes knobs in hardware to trade fidelity for efficiency: the more bits that are used to represent the data, the higher the storage and computation overheads. With the emergence of approximate computing research, we set out to answer the following question: how effective is quantization in trading off quality for efficiency, and how does it compare with other approximat...

This paper shows a way to combine speech recognition techniques based on Vector Quantization (VQ) with Neural Networks (NN). Vector Quantization has proved its usefulness for isolated words recognition, but it is also useful for isolated sentences recognition. One way to improve the performance of this technique is to add an NN block that will help the performance of the VQ recognizer.

Multiple description (MD) coding and quantization has received a lot of attention recently, and has been studied extensively and extended to many demanding applications such as speech and video. We propose two multiple description quantization schemes in order to design the codebooks and partitions of side and central quantizers. The applied framework originates in the multiple description quan...

Color quantization is an important technique in digital image processing. Generally it involves two steps. The first step is to choose a proper color palette. The second step is to reconstruct an image by replacing original colors with the most similar palette colors. However a problem exists while choosing palette colors. That is how to choose the colors with different illumination intensities...

Watermarking in the Joint Photographic Experts Group (JPEG)2000 coding pipeline is investigated in this paper. A joint quantization and watermarking method based on trellis-coded quantization (TCQ) is proposed to reliably embed data during the quantization stage of the JPEG2000 part 2 codec. The central contribution of this work is the use of a single quantization module to jointly perform quan...

In this paper we introduce a technique of tracking and quantizing the complex envelope of a narrowband process, which is a continuous time Gauss-Markov process of arbitrary order. The narrowband process is modeled in a state space framework and several quantization schemes using the inphase and the quadrature components of the narrowband process are considered. These inphase and quadrature comp...