2 edition of **Statistical theory of signal detection.** found in the catalog.

Statistical theory of signal detection.

Carl W. Helstrom

- 323 Want to read
- 15 Currently reading

Published
**1960**
by Pergamon Press in New York
.

Written in English

- Signal detection.,
- Statistical communication theory.

**Edition Notes**

Includes bibliography.

Series | International series of monographs on electronics and instrumentation,, v. 9, International series of monographs on electronics and instrumentation ;, v. 9. |

Classifications | |
---|---|

LC Classifications | TK5101 .H39 |

The Physical Object | |

Pagination | 364 p. |

Number of Pages | 364 |

ID Numbers | |

Open Library | OL6273506M |

LC Control Number | 59011210 |

The book provides extensive advice on the implications of SDT for research design. Thus, it may have greater utility than Green and Swets for readers who are more interested in practical issues than in the statistical theory behind SDT. McNicol, D. A primer of signal detection theory. London: Allen & Unwin. E-mail Citation». Supplement to RM, A Statistical Theory of Target Detection by Pulsed Radar. In addition, the present study discusses (1) collapsing, limiting, and antenna beam shape loss, (2) the effect of signal injection, and (3) moving-target indication.

This report presents data from which one may obtain the probability that a pulsed-type radar system will detect a given target at any range. This is in conCited by: Books Modern Spectral Estimation: Theory and Application, Prentice Hall, Fundamentals of Statistical Signal Processing, Vol. I - Estimation Theory Prentice Hall, Fundamentals of Statistical Signal Processing, Vol II - Detection Theory, Prentice Hall, (matlab file downloadable).

Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of Cited by: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems. Included are general analysis of signal detection, estimation, measurement, and related topics involving information transfer. Using the statistical Bayesian viewpoint, renowned author David.

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Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology. This book presents a comprehensive survey of digital communication Edition: 2.

This book is a valuable resource for mathematicians and engineers. Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology.

: Statistical Theory of Signal Detection (International series of monographs in electronics and instrumentation, v. 9) (): Helmstrom, C.

W.: BooksCited by: STATISTICAL THEORY OF SIGNAL DETECTION 2nd Edition Revised Hardcover – January 1, by CARL HELSTROM (Author) out of 5 stars 1 rating. See all 3 formats and editions Hide other formats and editions.

Price New from Used from 5/5(1). Statistical theory of signal detection (International series of monographs on electronics and instrumentation) Hardcover – January 1, by Carl W Helstrom (Author)Reviews: 1.

Pub Date: Pages: Language: Chinese Publisher: Electronic Industry Press book is a classic authority on statistical signal processing works. The book is divided into two volumes. respectively. explained the basis of statistical signal processing estimation theory and detection theory.

[1,2] STATISTICAL THEORY OF SIGNAL DETECTION When the input signal is real, the output must also be real. If every bounded real input signal produces a bounded output signal, a. Description: Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology.

This book presents a comprehensive survey of digital communication systems. A book that can balance theory with practical applications is not easy to find, especially in a difficult area like statistical signal processing.

This is the ultimate guide to estimation theory and its applications. 5 people found this helpful/5(12). From the Back Cover. The programs and applications presented in this book have been included for their instructional value. Statistical signal processing, detection, estimation, and time series analysis have been stressed in this by: Get this from a library.

Statistical theory of signal detection. [Carl W Helstrom]. Broadly stated, statistical signal processing is concerned with the reliable estimation, detection and classiﬁcation of signals which are subject to random ﬂuctuations.

Statistical signal processing has its roots in probability theory, mathematical statistics and, more recently, systems theory and statistical communications theory. Statistical Theory Prof. Gesine Reinert Novem Aim: To review and extend the main ideas in Statistical Inference, both from a frequentist viewpoint and from a Bayesian viewpoint.

This course serves not only as background to other courses, but also it will provide a Books 1. Bernardo, J.M. and Smith, A.F.M. () Bayesian Theory File Size: KB. Additional Physical Format: Online version: Helstrom, Carl W.

Statistical theory of signal detection. Oxford, New York, Pergamon Press [] (OCoLC) Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to the theory of statistical testing of hypotheses that is related to the detection of signals in radar and communications technology.

This book presents a comprehensive survey of. Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection.

The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes.

Topics covered include the classical theory of hypothesis testing, detection of known signals in white noise, maximum likelihood estimation of unknown parameters, the application of nonlinear filtering in signal detection and the use of pre-whitening filters to handle correlated by: 5.

adshelp[at] The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A. Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes.

The text also describes the application of 5/5(1). Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection.

The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived Edition: 1.

Statistical theory of signal detection. by Carl W. Helstrom starting at $ Statistical theory of signal detection. has 1 available editions to buy at Half Price Books Marketplace.Signal Detection Theory and Psychophysics | David Marvin Green, John A. Swets | download | B–OK. Download books for free.

Find books.Other Books of Interest. Parameter Estimation - H. Sorenson Covers same ground as textbook but in a different order; thus, provides an interesting alternative view.

Has appendices on Matrices and Probability Theory - a little more detailed than textbook. 2. Signal Processing: Discrete .