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Circuits and Systems Magazine, IEEE

Issue 3 • Date 2005

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Displaying Results 1 - 10 of 10
  • From rate-distortion analysis to resource-distortion analysis

    Page(s): 6 - 18
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    The ultimate goal in communication system design is to control and optimize the system performance under resource constraints. As the communication paradigm evolves from the conventional desktop computing, wired, and centralized communication to current mobile, wireless, distributed, and massive communication, video encoding and transmission operate under more and more resource constraints. In traditional video communication applications, such as digital TV broadcast, the major constraint is in the form of transmission bandwidth or storage space, which determines the encoding bit rate. Rate-distortion (R-D) theories have been developed to model the relationship between the coding bit rate and signal distortion. For video communication over mobile devices, the video encoding and transmission operate under additional resource constraints, such as energy supply and on-board computation capability. Therefore, there is a need to extend the traditional R-D analysis to resource-distortion analysis by incorporating the new resource constraints into the R-D analysis framework. In distributed and massive wireless video sensor networks, the resource utilization behaviors of individual video sensors should be well-coordinated through network-level rate allocation and optimum routing so as to maximize the overall performance. In this paper, we start from the classical R-D theory developed by Shannon over 50 years ago, and then review the R-D modelling techniques for modern image and video compression systems. We study the resource-distortion analysis framework for video communication over wireless devices. As one step further, we present the research problem of resource allocation and performance optimization for video compression and communication over a network of wireless communication devices. View full abstract»

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  • Constitution changes

    Page(s): 4 - 5
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  • Advances in circuits and systems

    Page(s): 30 - 31
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  • President's message

    Page(s): 3 - 5
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  • Wireless sensor networks: applications and challenges of ubiquitous sensing

    Page(s): 19 - 31
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    Sensor networks offer a powerful combination of distributed sensing, computing and communication. They lend themselves to countless applications and, at the same time, offer numerous challenges due to their peculiarities, primarily the stringent energy constraints to which sensing nodes are typically subjected. The distinguishing traits of sensor networks have a direct impact on the hardware design of the nodes at at least four levels: power source, processor, communication hardware, and sensors. Various hardware platforms have already been designed to test the many ideas spawned by the research community and to implement applications to virtually all fields of science and technology. We are convinced that CAS will be able to provide a substantial contribution to the development of this exciting field. View full abstract»

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  • IEEE Circuits and Systems Magazine

    Page(s): 0_1
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    Freely Available from IEEE
  • To us, IEEE is essential [advertisement]

    Page(s): 02
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    Freely Available from IEEE
  • Table of contents

    Page(s): 1 - 2
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    Freely Available from IEEE
  • Call for papers

    Page(s): 33
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    Freely Available from IEEE
  • IEEE in4mation

    Page(s): 34
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    Freely Available from IEEE

Aims & Scope

Insofar as the technical articles presented in the proposed magazine, the plan is to cover 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