Research Catalog

Title

Introduction to nonparametric detection with applications / Jerry D. Gibson, James L. Melsa.

Author

Gibson, Jerry D.

Publication

Piscataway, NJ : IEEE Press, [1996], ©1996.

Items in the Library & Off-site

Details

Additional Authors

Melsa, James L.

Description

xiv, 241 pages : illustrations; 24 cm

Summary

• 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 modeling.
• As a result, parametric detectors, which are excellent when model assumptions are satisfied, do not maintain the satisfactory performance necessary for detection.
• This core IEEE Press reissue is the only book devoted solely to nonparametric detection - the key to maintaining good performance over a wide range of conditions. Throughout, the authors employ the classical Neyman-Pearson approach, which is widely applicable to detection problems in communications, radar, sonar, acoustics, and geophysics.
• Topics covered include: nonparametric detection theory, basic detection theory, one-input and two-input detectors and performance, tied observations, dependent sample performance, and engineering applications.

Subjects

• Nonparametric signal detection
• Demodulation (Electronics)
• Statistical hypothesis testing

Note

• Originally published: New York : Academic Press, 1975. (Mathematics in science and engineering ; v. 119). With new pref.

Bibliography (note)

• Includes bibliographical references (p. p. 232-235) and index.

Contents

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.

ISBN

0780311612

LCCN

95036501

OCLC

ocm32891264

Owning Institutions

Columbia University Libraries