Title of article
Digital implementation of hierarchical vector quantization
Author/Authors
R.، Zunino, نويسنده , , S.، Ridella, نويسنده , , M.، Bracco, نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
-1071
From page
1072
To page
0
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 hardwareoriented 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 costeffective, computationally efficient real-time performances. Real-world applications support the consistency of the vector quantization approach and the effectiveness of the HVQ device.
Keywords
(alpha)-Amylase , Bacillus subtilis , enzyme purification , Thermophilic bacteria , hydrolytic enzyme , histidine modification
Journal title
IEEE TRANSACTIONS ON NEURAL NETWORKS
Serial Year
2003
Journal title
IEEE TRANSACTIONS ON NEURAL NETWORKS
Record number
62740
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