VLSI implementation of a tree searched vector quantizer
نویسندگان
چکیده
منابع مشابه
Tree-Structure Architecture and VLSI Implementation for Vector Quantization Algorithms
A tree-structure based architecture for vector quantization (VQ) is proposed and implemented by VLSI in this paper. The proposed folded-tree architecture is designed by 0.8 m CMOS VLSI technology. The die size is 4.65 5.21 mm 2 and estimated clock rate is about 34MHz, which satis es most real-time applications. Since it is basically a mean squared error computation circuit, various kinds of VQ ...
متن کاملBit-Serial VLSI Implementation of Vector Quantizer for Real-Time Image Coding
Absrract -Vector quantization (VQ) has emerged as a viable approach for coding speech and image data in the last decade. Various vector quantizers are designed and their performance evaluated during the last few years. The hardware realizations of VQ encoder systems have been designed mainly for real-time speech coding ranging from the use of “off-the-shelf” components to applying VLSI technolo...
متن کاملEfficient VLSI Architecture for Memetic Vector Quantizer Design
Memetic algorithms (MA) (Eiben & Smith, 2003; Molina, Lozano & Herrera, 2010; Moscato, 1999; Santos & Alves, 2010) have been found to be effective for evolutionary computation (Areibi, Moussa & Abdullah, 2001; Merz & Freisleben, 1999). It can be viewed as the hybrid genetic algorithms (GA) (Eiben & Smith, 2003) consisting of local refinement to genetic search results. Because the algorithms inv...
متن کاملA Floating-gate Vector-quantizer
We present a floating-gate based system for computing vector quantization (VQ), which is typically used for data compression and classification of signals to symbols. We present an architecture and resulting circuits which will enable direct programming / storage of weight vectors, as well as methods for adaptive VQ. We use an analog bump circuit to perform a continuous distance computation alo...
متن کاملAlgorithm and VLSI Design of a Feature-Based Classi ed Vector Quantizer for Image Coding
In this paper, a feature-based classi ed vector quantization (FCVQ) algorithm and VLSI implementation of the classi er are presented. The FCVQ technique exploits the characteristics of discrete cosine transform (DCT) and the concepts of block truncation coding (BTC) to simplify the classi cation and preserve the edge information e ciently. During the classi cation, an input block is classi ed a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 1993
ISSN: 1053-587X
DOI: 10.1109/78.193225