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Digital implementation of hierarchical vector quantization

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3 Author(s)
Bracco, M. ; Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genova, Italy ; Ridella, S. ; Zunino, R.

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.

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Neural Networks, IEEE Transactions on  (Volume:14 ,  Issue: 5 )