A performance analysis of pulse stream neural and fuzzy computing systems
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- Vol. 42 (10) , 642-660
- https://doi.org/10.1109/82.471393
Abstract
| This paper presents an annotated overview of existing hardware implementations of Arti cial Neural Sys-tems based on Pulse Stream" modulations. Pulse Streams are quasi-periodic binary waveforms which convey analog information on waveform timing. The theoretical bases of Pulse Stream computation are shown for the major techniques, and basic circuits are de-scribed for most Neural and Fuzzy functions. Pulse Stream modulations and multiplexing are then analyzed in terms of accuracy, response time, and both power and energy re-quirements. The performances of the various techniques are compared both with each other, and with those of other analog and digital computing systems. This paper shows that Pulse Stream systems are compa-rable with analog systems in terms of size, and comparable with both analog and digital systems in terms of speed. In addition, they o er an increased exibility if compared to analog systems, and they have both a lower power dissi-pation and a lower computation energy gure than digital systems.,Keywords
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