Referenced Items are not available for this document.
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
Published in:
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
(Volume:4
)
Date of Conference: 2000
- Page(s):
- 51 - 56 vol.4
- Meeting Date :
- 24 Jul 2000-27 Jul 2000
- ISSN :
- 1098-7576
- Print ISBN:
- 0-7695-0619-4
- INSPEC Accession Number:
- 6735050
- Conference Location :
- Como
- Digital Object Identifier :
- 10.1109/IJCNN.2000.860748
- Product Type:
- Conference Publications
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