Analog Implementation of Vector Quantization

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Publisher: SMPTE — White Plains, NY
Doc Type: Conference Paper
Content Type: Original Research
Volume: 1996, No. 14A, pp. 97–105
Abstract: Vector quantization is the main alternative to compression techniques based on the DCT. This work presents an analog VLSI implementation of a vector quantization system. Large-scale parallelism and analog computation are exploited to obtain a fast, modular system that is suitable for both simple encoding and adaptive compression, since appropriate control lines are provided. The analog VQ encoder is self-contained and therefore can be embedded into any system, either analog or digital. It implements in an efficient way the vector matching operations, therefore it can be exploited in systems based on any vector quantization algorithm. The circuit can be used to obtain very high throughput, which makes the approach suitable for high-quality image transmission.
Publication Date: 1996-10-01
DOI: 10.5594/M001240
Link: https://doi.org/10.5594/M001240
Author(s): Fabio AnconaElectronic Systems Group Dept. of Biophysical and Electronics Engineering (DIBE) - University of Genova Via all'Opera Pia 11a, 16145 Genova (Italy)
Stefano RovettaElectronic Systems Group Dept. of Biophysical and Electronics Engineering (DIBE) - University of Genova Via all'Opera Pia 11a, 16145 Genova (Italy)
Rodolfo ZuninoElectronic Systems Group Dept. of Biophysical and Electronics Engineering (DIBE) - University of Genova Via all'Opera Pia 11a, 16145 Genova (Italy)
Copyright: © 1996 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

1. Fang W.-C. Chang C.-Y. Sheu B.J. Chen O.T.-C. Curlander J.C. , “VLSI systolic binary tree-searched vector quantizer for image compression” , IEEE Transactions on VLSI Systems , 2 ( 1994 ): 1 , pp. 33 – 44 . EXTERNAL
2. Li Zhang Y.-Q. , “Vector-based signal processing and quantization for image and video compression” , Proceedings of the IEEE , 83 ( 1995 ): 2 , pp. 317 – 334 . EXTERNAL
3. Kasai Minami T. , “An overview of video coding VLSIs” , IEICE Transactions on Electronics , E77 ( 1994 ): 12 , pp. 1920 – 1929 . EXTERNAL
4. Pan McInnes F.R. Jack M.A. , “Fast clustering algorithms for vector quantization” , Pattern Recognition , 29 ( 1996 ): 3 , pp. 511 – 518 . EXTERNAL
5. Lazzaro R. Ryckebush Mahowald M.A. Mead C. , “Winner-take-all networks of O ( n ) complexity” , in Advances in Neural Information Processing Systems II ( 1989 ), San Mateo : Morgan Kaufmann , pp. 703 – 711 . EXTERNAL
6. Eichenberger Guggenbuhl W. , “On charge injection in analog CMOS switches and dummy switch compensation techniques” , IEEE Transactions on Circuits and Systems , 37 ( 1990 ): 2 , pp. 256 – 264 . EXTERNAL

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Fabio Ancona, Stefano Rovetta, and Rodolfo Zunino; Analog Implementation of Vector Quantization, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001240

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Fabio Ancona, Stefano Rovetta, and Rodolfo Zunino; Analog Implementation of Vector Quantization, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001240

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<span class="citation">Fabio Ancona, Stefano Rovetta, and Rodolfo Zunino; <cite>Analog Implementation of Vector Quantization</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at <a href="https://doi.org/10.5594/M001240" target="_blank" rel="noopener">https://doi.org/10.5594/M001240</a></span>

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Fabio Ancona, Stefano Rovetta, and Rodolfo Zunino; Analog Implementation of Vector Quantization, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
doi: 10.5594/M001240
url: https://doi.org/10.5594/M001240

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Fabio Ancona, Stefano Rovetta, and Rodolfo Zunino; <cite id="bib-10-5594-m001240">Analog Implementation of Vector Quantization</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
<span class="doi">10.5594/M001240</span>
</li>