Introduction to nonparametric detection with applications

Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems. The variability of digital communications systems co...

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Bibliographic Details
Main Author: Gibson, Jerry D.
Other Authors: Melsa, James L.
Format: Book
Language:English
Published: New York, NY IEEE Press 1996
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090 |a TK 5102.5  |b .G53 1996 
100 1 |a Gibson, Jerry D. 
245 1 |a Introduction to nonparametric detection with applications  |c Jerry D. Gibson, James L. Melsa 
260 |a New York, NY  |b IEEE Press  |c 1996 
300 |a xiv, 241 p.  |b ill.  |c 24 cm. 
500 |a Originally published: New York : Academic Press, 1975. (Mathematics in science and engineering ; v. 119). With new pref. 
504 |a Includes bibliographical references and index 
505 0 |a Foreword to the IEEE Press Reprint Edition -- Preface to the IEEE Press Reprint Edition -- Ch. 1. Introduction to Nonparametric Detection Theory -- Ch. 2. Basic Detection Theory -- Ch. 3. One-Input Detectors -- Ch. 4. One-Input Detector Performance -- Ch. 5. Two-Input Detectors -- Ch. 6. Two-Input Detector Performance -- Ch. 7. Tied Observations -- Ch. 8. Dependent Sample Performance -- Ch. 9. Engineering Applications -- Appendix A Probability Density Functions -- Appendix B Mathematical Tables. 
520 |a Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems. The variability of digital communications systems consistently challenges the communications system designer, while new applications have channels that almost defy accurate. 
650 0 |a Signal processing. 
650 0 |a Demodulation (Electronics). 
650 0 |a Statistical hypothesis testing. 
700 1 |a Melsa, James L. 
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