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IEEE Circuits and Systems Magazine

Issue 2 • 2005

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Displaying Results 1 - 13 of 13
  • New horizon for CNN: with fuzzy paradigms for multimedia

    Publication Year: 2005, Page(s):20 - 35
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1478 KB) | HTML iconHTML

    The cellular neural network (CNN) is a powerful technique to mimic the local function of biological neural circuits for real-time image and video processing. Recently, it is widely accepted that using a set of CNNs in parallel can achieve higher-level information processing and reasoning functions either from application or biology points of views. The authors introduce a novel framework for const... View full abstract»

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  • Cellular wave computers for brain-like spatial-temporal sensory computing

    Publication Year: 2005, Page(s):5 - 19
    Cited by:  Papers (31)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2039 KB) | HTML iconHTML

    Present day classical computers, developed during the last sixty years are logic machines, based on binary logic and arithmetic, acting on discrete valued (binary coded) data. Its unique property is algorithmic (stored) programmability, invented by John von Neumann. The mathematical concept is based on a universal machine on integers (Turing machine). Cellular automata, introduced also by J. von N... View full abstract»

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  • Digital circuits

    Publication Year: 2005, Page(s): 4
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  • Profiles of the 2005 Fellows

    Publication Year: 2005, Page(s):55 - 56
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  • Bi-i: a standalone ultra high speed cellular vision system

    Publication Year: 2005, Page(s):36 - 45
    Cited by:  Papers (38)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1632 KB) | HTML iconHTML

    The Bi-i standalone cellular vision system is introduced and discussed. In the first part, the underlying sensor and system level architectures are presented and various implementations are overviewed. This computing platform consists of state-of-the-art sensing, cellular sensing-processing, digital signal processing and communication devices that make it possible to use the system as an ideal com... View full abstract»

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  • Grand challenges for multimodal bio-medical systems

    Publication Year: 2005, Page(s):46 - 52
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (551 KB)

    The Multimodal Bio-Medical Systems Workshop (MBM) was held on October 22, 2004 in the Lister Hill Auditorium at the National Library of Medicine, Bethesda, Maryland. It allowed for unique interactions among experts of life sciences and physical sciences working on various aspects of multimodal biomedical systems research, whose goals are to collect, process, analyze, integrate, model, synthesize, ... View full abstract»

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  • Advances in circuits and systems

    Publication Year: 2005, Page(s):53 - 54
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  • IEEE Circuits and Systems Magazine

    Publication Year: 2005, Page(s): 0_1
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    Freely Available from IEEE
  • ECCTD 2005

    Publication Year: 2005, Page(s): 0_2
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2005, Page(s):1 - 2
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    Freely Available from IEEE
  • President's column [President's Message]

    Publication Year: 2005, Page(s):3 - 4
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    Freely Available from IEEE
  • ISCAS 2006 - Call for Papers

    Publication Year: 2005, Page(s): 0_3
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    Freely Available from IEEE
  • IEEE is research [advertisement]

    Publication Year: 2005, Page(s): 04
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    Freely Available from IEEE

Aims & Scope

The magazine covers the subject areas represented by the Society's transactions, including: analog, passive, switch capacitor, and digital filters; electronic circuits, networks, graph theory, and RF communication circuits; system theory; discrete, IC, and VLSI circuit design; multidimensional circuits and systems; large-scale systems and power networks; nonlinear circuits and systems, wavelets, filter banks, and applications; neural networks; and signal processing.

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Meet Our Editors

Editor-in-Chief
Chi K. Tse
Hong Kong Polytechnic University