• DocumentCode
    352912
  • Title

    NESP2: a low power analog neural signal processor with analog weight storage

  • Author

    Costa, Mario ; Palmisano, Davide ; Pasero, Eros

  • Author_Institution
    Dipartimento di Elettronica, Politecnico di Torino, Italy
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    51
  • Abstract
    Analog artificial neural networks (ANN) could be the core of an “intelligent” signal processor, with the today used digital processing replaced by a raw “data driven” methodology. Characteristic of this approach is: analog input/output: signals don´t need A/D and D/A converters; speed: an analog system can be faster than a digital or a mixed-mode one; effectiveness: ANN already demonstrated their power in many applications; low power: analog circuits can save power. NESP2 is a neural signal processor which offers the above characteristics and is based on a traditional, available and not expensive double polysilicon double metal commercial VLSI process
  • Keywords
    VLSI; analogue integrated circuits; analogue processing circuits; low-power electronics; neural chips; ANN; NESP2; analog I/O; analog artificial neural networks; analog input/output; analog weight storage; data driven methodology; double polysilicon double metal commercial VLSI process; intelligent signal processor; low-power analog neural signal processor; Analog memory; Artificial neural networks; Integrated circuit reliability; Integrated circuit technology; Intelligent sensors; Neurons; Nonvolatile memory; Shape control; Signal processing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.860748
  • Filename
    860748