A quantization noise reduction technique is proposed that allows fractional-N frequency synthesizers to achieve high closed loop bandwidth and low output phase noise simultaneously. Quantization induced phase noise is the bottleneck in state-ofthe-art synthesizer design, and results in a noise-bandwidth tradeoff that typically limits closed loop synthesizer bandwidths to be <100kHz for adequate...

AbsfractThe hierarchical finite-state vector quantization (HFSVQ) introduced in this paper is an improvement of the finite state vector quantization combined with hierarchical multirate image coding. Based on an understanding of the perception of human eye and the structural features of images, the HFSVQ technique employs different coding rates and different numbers of the predictive states for...

Optimal vector quantization of variable-dimension vectors in principle is feasible by using a set of fixed dimension VQ codebooks. However, for typical applications, such a multi-codebook approach demands a grossly excessive and impractical storage and computational complexity. Efficient quantization of such variable-dimension spectral shape vectors is the most challenging and difficult encodin...

In this paper we propose a three-dimensional vector quantization-based video coding scheme. The algorithm uses a 3D vector quantization pyramidal codebook-based model with adaptive pyramidal codebook for compression. The pyramidal codebook-based model helps in getting high compression in case of modest motion. The adaptive vector quantization algorithm is used to train the codebook for optimal ...

The Multi Input and Multi Output (MIMO) systems have been analyzed with a number of quantization techniques. In this short communication, few problems like performance and accuracy are investigated through a quantization technique based on Stiefel Manifold (SM). In order to improve these problems, suitable Trellis Coded Quantization (TCQ) based on Unit Memory (UM) coding is studied and applied ...

OPTIMIZATION WITH APPLICATIONS TO FAST CODEBOOK SEARCH FOR SVQ1 Youngjun Yoo Antonio Ortega Kannan Ramchandran Signal and Image Processing Institute University of Southern California, Los Angeles, CA 90089 Beckman Institute University of Illinois, Urbana, IL 61801 ABSTRACT A key part of any e cient source coder involves the optimal allocation of bit rate among a discrete set of competing quanti...

Security in vehicular ad hoc network (VANET) is one of the major challenging topics and secure key interchange between two legitimate vehicles an important issue. The multi-environment VANET has been exploited to extract secret employed security services VANET. However, it offered more excellence randomness owed fading, noise multi-path, velocity difference. Some factors like Bit-rate, complica...

In this paper, we describe a Trellis Coded Quantization (TCQ)-based quantization and watermarking technique in the framework of JPEG2000 still image compression. Furthermore, we investigate the design of a novel joint compression and watermarking scheme based on a hybrid TCQ module which can perform at the same time quantization and watermark embedding. The watermark extraction process can be a...