DocumentCode
821611
Title
Digital implementation of hierarchical vector quantization
Author
Bracco, Massimiliano ; Ridella, Sandro ; Zunino, Rodolfo
Author_Institution
Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genova, Italy
Volume
14
Issue
5
fYear
2003
Firstpage
1072
Lastpage
1084
Abstract
A formal methodology drives the design and realization of a digital very large-scale integration (VLSI) device supporting hierarchical vector quantization (HVQ) in computation-intensive coding applications. The hardware-oriented model-selection approach enhances the Minimum Description Length criterion with circuit-related aspects that allow consistent and efficient design. The resulting model parameters drive the subsequent realization in digital circuitry, which has first been implemented in field-programmable gate array (FPGA) technology to verify its correctness. The eventual VLSI realization results in an HVQ chip providing cost-effective, computationally efficient real-time performances. Real-world applications support the consistency of the vector quantization approach and the effectiveness of the HVQ device.
Keywords
VLSI; digital integrated circuits; field programmable gate arrays; neural chips; vector quantisation; FPGA technology; HVQ chip; VLSI device; computation-intensive coding applications; cost-effective computationally efficient real-time performances; digital circuitry; digital hierarchical vector quantization; field-programmable gate array technology; hardware-oriented model-selection approach; hierarchical VQ; minimum description length criterion; very large-scale integration device; Circuits; Computer applications; Design methodology; Field programmable gate arrays; Knowledge representation; Large scale integration; Process design; Prototypes; Vector quantization; Very large scale integration;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2003.816355
Filename
1243711
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