Computer-Sensors: Spatial-Temporal Computers for Analog Array Signals, Dynamically Integrated with Sensors

Authors:
Tamás Roska
Affiliations:
Analogical and Neural Computing Laboratory, Hungarian Academy of Sciences, H-1111, Kende u. 13-17, Budapest, Hungary
Venue:
Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors
Year:
1999

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Abstract

In this paper, first, an overview is given about the wholescenario of analogic CNN computing, as a paradigm of Spatial-temporalInstruction Set Computer (StISC) operating on flows of signal arrays.Next, two areas on CNN Computing Technology are considered briefly:(i) the architectural advances, especially the variable resolutionand adaptation in space, time, and value and (ii) the computationalinfrastructure from high level language and compiler to physicalimplementations. Three basic physical implementations are supposed:analogic CMOS, emulated digital CMOS and optical. The computationalinfrastructure is the same for all implementations, except thephysical interfaces. Finally, the systematic description of theNon-equilibrium Spatial-temporal (NEST) algorithms is given, as a newway of array signal processing, and some practical aspects of NESTalgorithms are discussed.