Cellular Nanoscale Sensory Wave Computing

In this book the emerging and converging architecture of morphic cellular wave computers based on the concept of Cellular Neural/Nonlinear Network (CNN) is introduced in a practical way. The authors include descriptions of hardware architectures, software algorithms, as well as a possible new CNN ce...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Baatar, Chagaan. (Editor), Porod, Wolfgang. (Editor), Roska, Tams̀. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 2010.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-1011-0
Table of Contents:
  • A Brief History of CNN at ONR
  • Cellular Wave Computing in Nanoscale via Million Processor Chips
  • Nanoantenna Infrared Detectors
  • Memristors: A New Nanoscale CNN Cell
  • Circuit Models of Nanoscale Devices
  • A CMOS Vision System On-Chip with Multi-Core, Cellular Sensory-Processing Front-End
  • Cellular Multi-core Processor Carrier Chip for Nano-antenna Integration and Experiments
  • Circuitry Underlying Visual Processing in the Retina
  • Elastic Grid Based Multi-Fovea Algorithm for Real-Time Object-Motion Detection in Airborne Surveillance
  • Many-core Processing Array Architecture Selection Guide for Topographic Problems.