DocumentCode :
396718
Title :
A model-selection approach to the VLSI design of vector quantizers
Author :
Bracco, Massimiliano ; Ridella, Sandro ; Zunino, Rodolfo
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Genova, Italy
Volume :
2
fYear :
2003
fDate :
20-24 July 2003
Firstpage :
959
Abstract :
A formal methodology supports the design of digital services for hierarchical vector quantization (HVQ). A model-selection approach based on the minimum description length criterion is enhanced by circuit-related aspects allowing efficient design. The resulting parameters drive the subsequent digital VLSI realization, which yields a HVQ chip providing cost-effective, computationally efficient real-time performances. Real-world applications support the consistency of the VQ approach and the effectiveness of the HVQ device.
Keywords :
VLSI; digital integrated circuits; integrated circuit design; knowledge based systems; neural chips; pattern classification; vector quantisation; VLSI design; digital services; hierarchical vector quantization; vector quantizers; Circuits; Complexity theory; Computational efficiency; Design methodology; Process design; Prototypes; Space technology; Testing; Vector quantization; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223820
Filename :
1223820
Link To Document :
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