Computer-sensors

Spatial-temporal computers for analog array signals, dynamically integrated with sensors

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

In this paper, first, an overview is given about the whole scenario of analogic CNN computing, as a paradigm of Spatial-temporal Instruction 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 resolution and adaptation in space, time, and value and (ii) the computational infrastructure from high level language and compiler to physical implementations. Three basic physical implementations are supposed: analogic CMOS, emulated digital CMOS and optical. The computational infrastructure is the same for all implementations, except the physical interfaces. Finally, the systematic description of the Non-equilibrium Spatial-temporal (NEST) algorithms is given, as a new way of array signal processing, and some practical aspects of NEST algorithms are discussed.

Original languageEnglish
Pages (from-to)221-237
Number of pages17
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Volume23
Issue number2
Publication statusPublished - 1999

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Analogue
Sensor
High level languages
Non-equilibrium
Sensors
Array Signal Processing
Infrastructure
Signal processing
Computing
Compiler
Paradigm
Scenarios
Architecture
Language

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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