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" Signal and image restoration "
Joseph Noonan and Prabahan Basu.
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BL
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| Record Number
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613810
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dltt
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| Main Entry
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Noonan, Joseph.
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| Title & Author
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Signal and image restoration : information-theoretic approaches /\ Joseph Noonan and Prabahan Basu.
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| Publication Statement
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Bellingham, Wash. :: SPIE,, 2011.
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| Series Statement
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SPIE Press monograph ;; PM213
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1 online resource
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| ISBN
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9780819488220
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: 0819488224
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9780819488213
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Includes bibliographical references.
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| Contents
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Preface -- Chapter 1. Information theory preliminaries -- Chapter 2. The inverse problem -- Chapter 3. Review of signal restoration techniques -- Chapter 4. Maximum-entropy density estimation -- Chapter 5. Error bounds for maximum-entropy estimates -- Chapter 6. The stabilizing-functional approach to regularization -- Chapter 7. Applying information-theoretic distances and the GMF -- Chapter 8. Special cases of the GMF -- Chapter 9. Applications -- Appendix A. Generalized projections -- Appendix B. Definitions from linear algebra -- Appendix C. Definitions from analysis -- Appendix D. Notation -- Appendix E. Acronyms.
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| Abstract
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The goal of this book is to present a unified information-theoretic approach to solve estimation problems commonly faced in signal processing applications. The authors provide new approaches to this problem, as well as new interpretations for existing techniques. Major applications of this work include image restoration, communication channel estimation, text restoration, and system modeling. A general approach to solving a number of detection and estimation problems utilizing concepts from information theory is developed, and the theoretical development of the approach-as well as important applications-is given.
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Signal theory (Telecommunication)
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Data recovery (Computer science)
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Image reconstruction.
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Basu, Prabahan.
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SPIE (Society)
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