Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Detection And Extraction Of Signals In Noise From The Point Of View Of Statistical Decision Theory PDF full book. Access full book title Detection And Extraction Of Signals In Noise From The Point Of View Of Statistical Decision Theory.
| Author | : David Middleton |
| Publisher | : |
| Total Pages | : 96 |
| Release | : 1956 |
| Genre | : |
| ISBN | : |
| Author | : Fazlollah M. Reza |
| Publisher | : Courier Corporation |
| Total Pages | : 532 |
| Release | : 1994-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780486682105 |
Graduate-level study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Many reference tables and extensive bibliography. 1961 edition.
| Author | : Carl W. Helstrom |
| Publisher | : Elsevier |
| Total Pages | : 485 |
| Release | : 2013-10-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1483156850 |
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. Organized into 11 chapters, this edition begins with an overview of the theory of signal detection and the typical detection problem. This text then examines the goals of the detection system, which are defined through an analogy with the testing of statistical hypotheses. Other chapters consider the noise fluctuations in terms of probability distributions whereby the statistical information is used to design a receiver that attains the maximum rate of successful detections in a long series of trials. This book discusses as well the criteria of success and failure in statistical situations. The final chapter deals with the types of stochastic signals. This book is a valuable resource for mathematicians and engineers.
| Author | : Bernard C. Levy |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 647 |
| Release | : 2008-07-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0387765425 |
This textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. Addresses asymptotic of tests with the theory of large deviations, and robust detection. This text is appropriate for students of Electrical Engineering in graduate courses in Signal Detection and Estimation.
| Author | : |
| Publisher | : |
| Total Pages | : 462 |
| Release | : 1966 |
| Genre | : |
| ISBN | : |
| Author | : Harry L. Van Trees |
| Publisher | : John Wiley & Sons |
| Total Pages | : 714 |
| Release | : 2004-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0471463825 |
- Band 1 (Nachdruck) des vierbändigen Werkes; insgesamt die umfassendste gegenwärtig erhältliche Abhandlung auf diesem Gebiet - anerkannter und bewährter Klassiker, verfaßt von einer der führenden Persönlichkeiten - in gut verständlichem Stil geschrieben und übersichtlich organisiert, mit Zusammenfassungen an den Kapitelenden, Beispielen und zahlreichen Übungsaufgaben - vorgestellte Theorie hat wichtige praktische Anwendungen, unter anderem in der Radar- und Sonartechnik, Nachrichtentechnik, Seismologie, Biomedizintechnik und Astronomie
| Author | : Andrey Popoff |
| Publisher | : CRC Press |
| Total Pages | : 522 |
| Release | : 2017-11-03 |
| Genre | : Mathematics |
| ISBN | : 1351597124 |
Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal processing theory. Readers will learn this new approach to constructing the unified mathematical fundamentals of both information theory and signal processing theory in addition to new methods of evaluating quality indices of signal processing. The book discusses the methodology of synthesis and analysis of signal processing algorithms providing qualitative increase of signal processing efficiency under parametric and nonparametric prior uncertainty conditions. Examples are included throughout the book to further emphasize new material.
| Author | : Ivan Selin |
| Publisher | : Princeton University Press |
| Total Pages | : 143 |
| Release | : 2015-12-08 |
| Genre | : Mathematics |
| ISBN | : 1400876206 |
In the area of statistical communications, a well-developed theory has grown to cover the testing for the presence of a desired process (signal) in the presence of an undesirable random process (noise). This book presents an adaptation of this theory. Originally published in 1965. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
| Author | : E. T. Jaynes |
| Publisher | : Cambridge University Press |
| Total Pages | : 764 |
| Release | : 2003-04-10 |
| Genre | : Mathematics |
| ISBN | : 9780521592710 |
Index.
| Author | : Satosi Watanabe |
| Publisher | : Academic Press |
| Total Pages | : 591 |
| Release | : 2014-05-12 |
| Genre | : Reference |
| ISBN | : 1483268985 |
Methodologies of Pattern Recognition is a collection of papers that deals with the two approaches to pattern recognition (geometrical and structural), the Robbins-Monro procedures, and the implications of interactive graphic computers for pattern recognition methodology. Some papers describe non-supervised learning in statistical pattern recognition, parallel computation in pattern recognition, and statistical analysis as a tool to make patterns emerge from data. One paper points out the importance of cluster processing in visual perception in which proximate points of similar brightness values form clusters. At higher levels of mental activity humans are efficient in clumping complex items into clusters. Another paper suggests a recognition method which combines versatility and an efficient noise-proofness in dealing with the two main problems in the field of recognition. These difficulties are the presence of a large variety of observed signals and the presence of interference. One paper reports on a possible feature selection for pattern recognition systems employing the minimization of population entropy. Electronic engineers, physicists, physiologists, psychologists, logicians, mathematicians, and philosophers will find great rewards in reading the above collection.
