Showing 21 - 40 results of 59 for search '"VLSI"', query time: 0.04s Refine Results
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    Controlling Underwater Robots with Electronic Nervous Systems by Joseph Ayers, Nikolai Rulkov, Dan Knudsen, Yong-Bin Kim, Alexander Volkovskii, Allen Selverston

    Published 2010-01-01
    “…We report feasibility studies of a hybrid architecture that instantiates a command and coordinating level with computed discrete-time map-based (DTM) neuronal networks and the central pattern generators with analogue VLSI (Very Large Scale Integration) electronic neuron (aVLSI) networks. …”
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    MULTIPLE FOLDING OF REGULAR STRUCTURES VIA SOLVING LOGIC EQUATIONS by L. D. Cheremisinova

    Published 2016-09-01
    “…The problem under consideration is to reduce the area of the layout of regular VLSI structures by means of their multiple folding. …”
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    Gamma Splines and Wavelets by Hannu Olkkonen, Juuso T. Olkkonen

    Published 2013-01-01
    “…Finally, we discuss the suitability of the gamma spline signal processing in embedded VLSI environment.…”
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    Design and implementation for partition dynamically vector quantization chip by YU Ning-mei, WANG Dong-fang, LIAO Yu-min, FU Yun-qiang

    Published 2009-01-01
    “…Partition dynamically vector quantization(PDVQ) chip was researched and produced to encode images.Before encoding,it first judged the correlation of the encoding image block,and then decided to choose the size of the image blocks.Test result shows that PDVQ chip can improve the compression rate to 27% in average by contrasting with the normal VQ,even to 64%.The size of the codebook in PDVQ chip was 256×16 byte,and all codevectors in the codebook were categorized by direction,in each category codebook codewords were sorted in the ascending order of their sum,this kind codebook architecture could reduce search range largely.The VLSI architecture of PDVQ chip was implemented based on Charter 0.35μm CMOS standard cell technology,its chip area was 2.08mm×2.08mm.Test result shows that,at 3.0V power supply,PDVQ chip can operate up to 100MHz.At this operation,its power dissipation is 295mW,and it can support real-time encoding application for 512×512 gray images at 30fame/s.…”
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