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IEEE Signal Processing Magazine

Issue 4 • July 2006

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Displaying Results 1 - 25 of 29
  • Reflections on my career at Bell Labs

    Publication Year: 2006, Page(s):6 - 9
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  • A personal history of the Viterbi algorithm

    Publication Year: 2006, Page(s):120 - 142
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (146 KB) | HTML iconHTML

    This paper describes how Andrew J. Viterbi developed a non-sequential decoding algorithm which proved useful in showing the superiority of convolutional codes over block codes for a given degree of decoding complexity. The Viterbi algorithm is now used in most digital cellular phones and digital satellite receivers as well as in such diverse fields as magnetic recoding, voice recognition, and DNA ... View full abstract»

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  • Sensing reality and communicating bits: a dangerous liaison

    Publication Year: 2006, Page(s):70 - 83
    Cited by:  Papers (46)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (966 KB) | HTML iconHTML

    To illustrate the conceptual issues related to sampling, source representation/coding and communication in sensor networks, we review the underlying theory and discuss specific examples. We show how the structure of the distributed sensing and communication problem dictates new processing architectures. The key challenge lies in the discretization of space, time and amplitude, since most of the ad... View full abstract»

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  • Reducing CIC filter complexity

    Publication Year: 2006, Page(s):124 - 126
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (163 KB) | HTML iconHTML

    This paper provides several tricks to reduce the complexity and enhance the usefulness of cascaded integrator-comb (CIC) filters. The first trick shows a way to reduce the number of adders and delay elements in a multi-stage CIC interpolation filter. The result is a multiplierless scheme that performs high-order linear interpolation using CIC filters. The second trick shows a way to eliminate the ... View full abstract»

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  • Wireless Communications [Book Review]

    Publication Year: 2006, Page(s):138 - 142
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  • Channel-aware distributed detection in wireless sensor networks

    Publication Year: 2006, Page(s):16 - 26
    Cited by:  Papers (145)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (900 KB) | HTML iconHTML

    This paper reviews the classical decentralized decision theory in the light of new constraints and requirements. The central theme that transcends various aspects of signal processing design is that an integrated channel-aware approach needs to be taken for optimal detection performance given the available resources. View full abstract»

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  • Distributed compression-estimation using wireless sensor networks

    Publication Year: 2006, Page(s):27 - 41
    Cited by:  Papers (187)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1072 KB) | HTML iconHTML

    This paper provides an overview of distributed estimation-compression problems encountered with wireless sensor networks (WSN). A general formulation of distributed compression-estimation under rate constraints was introduced, pertinent signal processing algorithms were developed, and emerging tradeoffs were delineated from an information theoretic perspective. Specifically, we designed rate-const... View full abstract»

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  • A signal processing application in genomic research: protein secondary structure prediction

    Publication Year: 2006, Page(s):128 - 131
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (795 KB) | HTML iconHTML

    The digital nature of genomic information makes it suitable for the application of signal processing techniques to better analyze and understand the characteristics of DNA, proteins, and their interaction. Prediction of genes, protein structure, and protein function greatly utilize pattern recognition techniques, in which hidden Markov models, neural networks, and support vector machines play a ce... View full abstract»

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  • Distributed signal processing in sensor networks [from the guest Editors]

    Publication Year: 2006, Page(s):14 - 15
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    First Page of the Article
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  • Optical microscopic image processing of dendritic spines morphology

    Publication Year: 2006, Page(s):132 - 135
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (289 KB) | HTML iconHTML

    This paper describes an integrated neuroinformatics system, called NeuronIQ (neuronal image quantitator), for processing, archiving, and analyzing 3D neuronal images obtained from high resolution optical microscopy. While this paper focuses on single channel images, multichannel images can also be acquired for neurons, glial cells, blood vessels, and other neurological structures by using differen... View full abstract»

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  • The interplay between signal processing and networking in sensor networks

    Publication Year: 2006, Page(s):84 - 93
    Cited by:  Papers (44)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (687 KB) | HTML iconHTML

    This paper provides a signal processing perspective on large-scale sensor networks. It focuses on two characteristics of sensor networks: application specificity and energy constraint. The former requires that network protocols be designed for the application at hand, which is often signal processing in nature, and measured by application-specific metrics. The latter calls for novel distributed si... View full abstract»

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  • Distributed fusion in sensor networks

    Publication Year: 2006, Page(s):42 - 55
    Cited by:  Papers (92)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1021 KB) | HTML iconHTML

    This paper presents an overview of research conducted to bridge the rich field of graphical models with the emerging field of data fusion for sensor networks. Both theoretical issues and prototyping applications are discussed in addition to suggesting new lines of reasoning. View full abstract»

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  • Teach-Ware: DSP education resources

    Publication Year: 2006, Page(s):136 - 137
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (443 KB) | HTML iconHTML

    This paper describes a variety of TeachWare, i.e., digital signal processing (DSP) education resources that are useful for introducing DSP concepts, operations, and algorithms. The paper provides such information as the type of resource, its status, and format. View full abstract»

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  • Distributed learning in wireless sensor networks

    Publication Year: 2006, Page(s):56 - 69
    Cited by:  Papers (132)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (935 KB) | HTML iconHTML

    This paper discusses nonparametric distributed learning. After reviewing the classical learning model and highlighting the success of machine learning in centralized settings, the challenges that wireless sensor networks (WSN) pose for distributed learning are discussed, and research aimed at addressing these challenges is surveyed. View full abstract»

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  • Search and discovery in an uncertain networked world

    Publication Year: 2006, Page(s):107 - 118
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1320 KB) | HTML iconHTML

    This paper identifies two classes of sensor network problems that arise naturally in many applications. Fusion problem involves correlated data over the sensor network, while search/sensor selection involves selecting sensors that have useful information. The paper also describes an adaptive decision making system, which feeds back the previous decisions of the sensor network to make more informed... View full abstract»

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  • Where do special issues come from? [from the Editor]

    Publication Year: 2006, Page(s): 2
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  • IEEE Signal Processing Magazine - July 2006

    Publication Year: 2006, Page(s): 0_1
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    Freely Available from IEEE
  • Table of contents - Vol 23 No4

    Publication Year: 2006, Page(s): 1
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    Freely Available from IEEE
  • Signal processing identity [President's message]

    Publication Year: 2006, Page(s): 4
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  • Hawaii 2007 ICASSP

    Publication Year: 2006, Page(s): 5
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  • Multimedia and hip-hop for experiential education

    Publication Year: 2006, Page(s):10 - 13
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  • Distributed video coding in wireless sensor networks

    Publication Year: 2006, Page(s):94 - 106
    Cited by:  Papers (82)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1196 KB) | HTML iconHTML

    This paper addresses the important aspect of compressing and transmitting video signals generated by wireless broadband networks while heeding the architectural demands imposed by these networks in terms of energy constraints as well as the channel uncertainty related to the wireless communication medium. Driven by the need to develop light, robust, energy-efficient, and low delay video delivery s... View full abstract»

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  • EURASIP Journal on Applied Signal Processing

    Publication Year: 2006, Page(s): 119
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  • ISSPA 2007 - Call for Papers

    Publication Year: 2006, Page(s): 123
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  • IEEE Member Digital Library [advertisement]

    Publication Year: 2006, Page(s): 127
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Aims & Scope

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Its mission is to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities. It is also the main Society communication platform addressing important issues concerning all members.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Min Wu
University of Maryland, College Park
United States
http://www.ece.umd.edu/~minwu/