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Signal and image restoration = infor...
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Basu, Prabahan.
Signal and image restoration = information-theoretic approaches /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Signal and image restoration/ Joseph Noonan, Prabahan Basu.
Reminder of title:
information-theoretic approaches /
Author:
Noonan, Joseph.
other author:
Basu, Prabahan.
Published:
Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE, : 2011.,
Description:
1 online resource (100 p.) :ill., digital file. :
Notes:
"SPIE Digital Library."--Website.
Subject:
Signal theory (Telecommunication) -
Online resource:
http://dx.doi.org/10.1117/3.903451
ISBN:
9780819488220 (electronic)
Signal and image restoration = information-theoretic approaches /
Noonan, Joseph.
Signal and image restoration
information-theoretic approaches /[electronic resource] :Joseph Noonan, Prabahan Basu. - Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE,2011. - 1 online resource (100 p.) :ill., digital file. - SPIE Press monograph ;PM213. - SPIE Press monograph ;PM103..
"SPIE Digital Library."--Website.
Includes bibliographical references.
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.
Restricted to subscribers or individual electronic text purchasers.
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.
Mode of access: World Wide Web.
ISBN: 9780819488220 (electronic)
Standard No.: 10.1117/3.903451doiSubjects--Topical Terms:
632492
Signal theory (Telecommunication)
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TK5102.92 / .N66 2011e
Dewey Class. No.: 621.382/23
Signal and image restoration = information-theoretic approaches /
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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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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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Mode of access: World Wide Web.
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Title from PDF title page (SPIE eBooks Website, viewed 2011-12-13).
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http://dx.doi.org/10.1117/3.903451
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