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IEEE Signal Processing Magazine

Issue 3 • May 1996

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Displaying Results 1 - 3 of 3
  • Blind deconvolution via cumulant extrema

    Publication Year: 1996, Page(s):24 - 42
    Cited by:  Papers (83)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1912 KB)

    Classical deconvolution is concerned with the task of recovering an excitation signal, given the response of a known time-invariant linear operator to that excitation. Deconvolution is discussed along with its more challenging counterpart, blind deconvolution, where no knowledge of the linear operator is assumed. This discussion focuses on a class of deconvolution algorithms based on higher-order ... View full abstract»

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  • Fractionally spaced equalizers

    Publication Year: 1996, Page(s):65 - 81
    Cited by:  Papers (144)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8816 KB)

    Modern digital transmission systems commonly use an adaptive equalizer as a key part of the receiver. The design of this equalizer is important since it determines the maximum quality attainable from the system, and represents a high fraction of the computation used to implement the demodulator. Analytical results offer a new way of looking at fractionally spaced equalizers and have some surprisin... View full abstract»

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  • Blind image deconvolution

    Publication Year: 1996, Page(s):43 - 64
    Cited by:  Papers (533)  |  Patents (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7520 KB)

    The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical to many image processing applications. Although classical linear image restoration has been thoroughly studied, the more difficult problem of blind image restoration has numerous research possibilities. We introduce the problem of blind deconvolution for images, provide... View full abstract»

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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.

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Meet Our Editors

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