• DocumentCode
    2251153
  • Title

    A Programmable Digital Cellular Neural Network Processing On- and Off-Chip Sensory Information

  • Author

    Zeffer, Tamás S. ; Hidvérgi, Timót

  • Author_Institution
    Peter Pazmany Catholic Univ.
  • fYear
    2006
  • fDate
    28-30 Aug. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the architecture of a mixed-signal CNN visual processor with on board photodetecting sensor array, analog RAM, and a switching matrix to process off chip sensor signals is proposed. In our design, the CMOS sensor array possesses high performance readout circuitry and embedded data storage capability. For further compactness, a new template memory structure is built that requires about quarter of silicon size compared to previous designs. The vision chip comprises most of the modules of a sensory system and keeps tight relationship between the sensors and the processor
  • Keywords
    CMOS image sensors; array signal processing; cellular neural nets; neural chips; CMOS sensor array; CNN visual processor; analog RAM; off-chip sensory information; on-chip sensory information; photodetecting sensor array; programmable digital cellular neural network; switching matrix; vision chip; CMOS technology; Cellular neural networks; Circuits; Neural networks; Optical arrays; Photodiodes; Random access memory; Read-write memory; Sensor arrays; Tellurium; CMOS APS; Cellular Neural Network; dark current; detector; digital emulated CNN-UM; image sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-0640-4
  • Electronic_ISBN
    1-4244-0640-4
  • Type

    conf

  • DOI
    10.1109/CNNA.2006.341603
  • Filename
    4145843