4 edition of **Statistical methods in sonar** found in the catalog.

Statistical methods in sonar

V. V. OlК№shevskiiМ†

- 56 Want to read
- 25 Currently reading

Published
**1978** by Consultants Bureau in New York .

Written in English

- Sonar.

**Edition Notes**

Statement | V. V. Olʹshevskii ; technical editor, David Middleton. |

Series | Studies in Soviet science : Physical sciences |

Contributions | Middleton, David, 1920- |

Classifications | |
---|---|

LC Classifications | VM480 .O4713 |

The Physical Object | |

Pagination | xx, 242 p. : |

Number of Pages | 242 |

ID Numbers | |

Open Library | OL4730070M |

ISBN 10 | 0306109476 |

LC Control Number | 78018196 |

Instructors: Dr. Steven Kay is a Professor of Electrical Engineering at the University of Rhode Island and the President of Signal Processing Systems, a consulting firm to industry and the government. He has over 25 years of research and development experience in designing optimal statistical signal processing algorithms for radar, sonar, speech, image, communications, vibration, and financial. The lectures cover all the material in An Introduction to Statistical Learning, with Applications in R by James, Witten, Hastie and Tibshirani (Springer, ). As of January 5, , the pdf for this book will be available for free, with the consent of the publisher, on the book website. Prerequisites. It focuses on the basics of research design and the critical analysis of professional research in the social sciences from developing a theory, selecting subjects, and testing subjects to performing statistical analysis and writing the research report. Table of Contents. Chapter 1: Introduction to Research. Chapter Introduction to Research.

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Buy Statistical Methods in Sonar on FREE SHIPPING on qualified orders Statistical Methods in Sonar: V. Ol shevskii: : Books Skip to main contentCited by: The present book, "Statistical Methods in Sonar," is, in part, a sequel to the first book, where now the author's stated purpose is "to acquaint a broad range of specialists with the use of contemporary statistical methods for solving theoretical and applied sonar problems.

" As the author quite properly observes, the work is illustrative. The present book, "Statistical Methods in Sonar," is, in part, a sequel to the first book, where now the author's stated purpose is "to acquaint a broad range of specialists with the use of contemporary statistical methods for solving theoretical and applied sonar problems.

The Sonar Model.- 3. Sonar and Radar.- 4. Statistical Problems of Sonar.- II. Procedural Fundamentals of Experimental Research in Sonar.- 5. Principal Tasks of Experimental Research.- 6.

The Structural Diagram of Quantitative Experimental Research.- 7. Discrimination Functional of the Probability Characteristic and Its Statistical Estimate.- 8.

Extra resources for Statistical Methods in Sonar. Example text. This forces us to develop probability models of signals and interference in two stages. In the first stage we develop conditional models of signals and interference -- that is, models related to certain set conditions of underwater observation/5(8).

Sonar for Practising Engineers, third edition, covers all aspects of sonar systems and has extensive Statistical methods in sonar book examples. No prior knowledge of sonar is assumed and the physical principles and mathematics will be readily understood by engineers, technicians and students of underwater acoustics.

New to this edition, are end-of-chapter exercises and Cited by: The book is an edited collection of research articles covering the current state of sonar systems, the signal processing methods and their applications prepared by experts in the field.

The first section is dedicated to the theory and applications of innovative synthetic Statistical methods in sonar book, interferometric, multistatic sonars and modeling and simulation. Offering complete and comprehensive coverage of modern sonar spectrum system analysis, Underwater Acoustics: Analysis, Design and Performance of Sonar provides a state-of-the-art introduction to the subject and has been carefully structured to offer a much-needed update to the classic text by Urick.

Expanded to included computational approaches to the topic, this book treads the line Format: Hardcover. Passive sonar performance and acoustic prediction mainly refer to the detection range.

The inputs for estimating the sonar detection range include the Figure of Merit (FOM), Transmission Loss (TL), and Ambient Noise (NL) of the operation region.

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About This Book. This book currently serves as a supplement to An Introduction to Statistical Learning for STAT - Basics of Statistical Learning at the University of Illinois at Urbana-Champaign. The initial focus of this text was to expand on ISL’s introduction to using R for statistical learning, mostly through adding to and modifying existing code.

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