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  • 1
    Electronic Resource
    Electronic Resource
    Computing motion using analog VLSI vision chips: An experimental comparison among different approaches (1992)
    Springer
    International journal of computer vision 8 (1992), S. 203-216 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We have designed, built and tested a number of analog CMOS VLSI circuits for computing 1-D motion from the time-varying intensity values provided by an array of on-chip phototransistors. We present experimental data for two such circuits and discuss their relative performance. One circuit approximates the correlation model while a second chip uses resistive grids to compute zero-crossings to be tracked over time by a separate digital processor. Both circuits integrate image acquisition with image processing functions and compute velocity in real time. For comparison, we also describe the performance of a simple motion algorithm using off-the-shelf digital components. We conclude that analog circuits implementing various correlation-like motion algorithms are more robust than our previous analog circuits implementing gradient-like motion algorithms.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00055152
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Speech Recognition Experiments with Silicon Auditory Models (1997)
    Springer
    Analog integrated circuits and signal processing 13 (1997), S. 37-51 
    Details
    ISSN: 1573-1979
    Keywords: silicon audition ; silicon cochlea ; auditory models ; analog VLSI ; weak-inversion CMOS
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract We have developed a real-time system to transform anaudio signal into several specialized representations of sound.The system uses analog circuit models of biological auditionto compute these representations. We report on a speech recognizerthat uses this system for feature extraction, and we evaluatethe performance of this speech recognition system on a speaker-independent13-word recognition task.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008259307326
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    Paper (German National Licenses)
    Fulltext
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