A First Course In Statistics For Signal Analysis

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A First Course in Statistics for Signal Analysis

Author : Wojbor A. Woyczynski
Publisher : Springer Science & Business Media
ISBN 13 : 0817681019
Total Pages : 271 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis A First Course in Statistics for Signal Analysis by : Wojbor A. Woyczynski

Download or read book A First Course in Statistics for Signal Analysis written by Wojbor A. Woyczynski and published by Springer Science & Business Media. This book was released on 2010-10-14 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

A First Course in Statistics for Signal Analysis

Author : Wojbor Andrzej Woyczyński
Publisher : Birkhauser
ISBN 13 : 9780817643980
Total Pages : 206 pages
Book Rating : 4.6/5 (439 download)

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Book Synopsis A First Course in Statistics for Signal Analysis by : Wojbor Andrzej Woyczyński

Download or read book A First Course in Statistics for Signal Analysis written by Wojbor Andrzej Woyczyński and published by Birkhauser. This book was released on 2006 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This user-friendly book is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. A bibliography is included for readers who wish to pursue things in greater depth.

A First Course in Statistics for Signal Analysis

Author : Wojbor A. Woyczyński
Publisher : Springer Nature
ISBN 13 : 3030209083
Total Pages : 332 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis A First Course in Statistics for Signal Analysis by : Wojbor A. Woyczyński

Download or read book A First Course in Statistics for Signal Analysis written by Wojbor A. Woyczyński and published by Springer Nature. This book was released on 2019-10-04 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

A First Course in Statistics for Signal Analysis

Author : Wojbor Woyczynski
Publisher : Birkhäuser
ISBN 13 : 9780817681005
Total Pages : 261 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis A First Course in Statistics for Signal Analysis by : Wojbor Woyczynski

Download or read book A First Course in Statistics for Signal Analysis written by Wojbor Woyczynski and published by Birkhäuser. This book was released on 2010-10-28 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

A First Course In Statistics For Signal Analysis

Author : Woyczynski
Publisher :
ISBN 13 : 9788184891430
Total Pages : 218 pages
Book Rating : 4.8/5 (914 download)

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Book Synopsis A First Course In Statistics For Signal Analysis by : Woyczynski

Download or read book A First Course In Statistics For Signal Analysis written by Woyczynski and published by . This book was released on 2008-12-01 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal Analysis and Prediction

Author : Ales Prochazka
Publisher : Springer Science & Business Media
ISBN 13 : 9780817640422
Total Pages : 536 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Signal Analysis and Prediction by : Ales Prochazka

Download or read book Signal Analysis and Prediction written by Ales Prochazka and published by Springer Science & Business Media. This book was released on 1998-12-23 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. These meth ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. This book incorporates a collection of research papers based upon selected contri butions presented at the First European Conference on Signal Analysis and Predic tion (ECSAP-97) in Prague, Czech Republic, held June 24-27, 1997 at the Strahov Monastery. Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America. The organizing committee was pleased that the re sponse from the academic community to participate at this Conference was very large; 128 summaries written by 242 authors from 36 countries were received. In addition, the Conference qualified under the Continuing Professional Development Scheme to provide PD units for participants and contributors.

Signal Processing

Author : Charles L. Byrne
Publisher : CRC Press
ISBN 13 : 1482241854
Total Pages : 436 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Signal Processing by : Charles L. Byrne

Download or read book Signal Processing written by Charles L. Byrne and published by CRC Press. This book was released on 2014-11-12 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab

Smart Machining Systems

Author : Kunpeng Zhu
Publisher : Springer Nature
ISBN 13 : 3030878783
Total Pages : 420 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Smart Machining Systems by : Kunpeng Zhu

Download or read book Smart Machining Systems written by Kunpeng Zhu and published by Springer Nature. This book was released on 2021-11-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.

An Introduction to Statistical Signal Processing

Author : Robert M. Gray
Publisher : Cambridge University Press
ISBN 13 : 1139456288
Total Pages : 479 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis An Introduction to Statistical Signal Processing by : Robert M. Gray

Download or read book An Introduction to Statistical Signal Processing written by Robert M. Gray and published by Cambridge University Press. This book was released on 2004-12-02 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.

Fundamentals of Statistical Signal Processing

Author : Steven M. Kay
Publisher : Pearson Education
ISBN 13 : 013280803X
Total Pages : 496 pages
Book Rating : 4.1/5 (328 download)

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Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by Pearson Education. This book was released on 2013 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.

The Mathematics of Signal Processing

Author : Steven B. Damelin
Publisher : Cambridge University Press
ISBN 13 : 1107013224
Total Pages : 463 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis The Mathematics of Signal Processing by : Steven B. Damelin

Download or read book The Mathematics of Signal Processing written by Steven B. Damelin and published by Cambridge University Press. This book was released on 2012 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.

Multi-Fractal Traffic and Anomaly Detection in Computer Communications

Author : Ming Li
Publisher : CRC Press
ISBN 13 : 100081789X
Total Pages : 297 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Multi-Fractal Traffic and Anomaly Detection in Computer Communications by : Ming Li

Download or read book Multi-Fractal Traffic and Anomaly Detection in Computer Communications written by Ming Li and published by CRC Press. This book was released on 2023-01-09 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.

Statistical Signal Processing for Neuroscience and Neurotechnology

Author : Karim G. Oweiss
Publisher : Academic Press
ISBN 13 : 9780080962962
Total Pages : 433 pages
Book Rating : 4.9/5 (629 download)

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Book Synopsis Statistical Signal Processing for Neuroscience and Neurotechnology by : Karim G. Oweiss

Download or read book Statistical Signal Processing for Neuroscience and Neurotechnology written by Karim G. Oweiss and published by Academic Press. This book was released on 2010-09-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

A First Course in Wavelets with Fourier Analysis

Author : Albert Boggess
Publisher : John Wiley & Sons
ISBN 13 : 1119214327
Total Pages : 336 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis A First Course in Wavelets with Fourier Analysis by : Albert Boggess

Download or read book A First Course in Wavelets with Fourier Analysis written by Albert Boggess and published by John Wiley & Sons. This book was released on 2015-08-21 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, self-contained treatment of Fourier analysis and wavelets—now in a new edition Through expansive coverage and easy-to-follow explanations, A First Course in Wavelets with Fourier Analysis, Second Edition provides a self-contained mathematical treatment of Fourier analysis and wavelets, while uniquely presenting signal analysis applications and problems. Essential and fundamental ideas are presented in an effort to make the book accessible to a broad audience, and, in addition, their applications to signal processing are kept at an elementary level. The book begins with an introduction to vector spaces, inner product spaces, and other preliminary topics in analysis. Subsequent chapters feature: The development of a Fourier series, Fourier transform, and discrete Fourier analysis Improved sections devoted to continuous wavelets and two-dimensional wavelets The analysis of Haar, Shannon, and linear spline wavelets The general theory of multi-resolution analysis Updated MATLAB code and expanded applications to signal processing The construction, smoothness, and computation of Daubechies' wavelets Advanced topics such as wavelets in higher dimensions, decomposition and reconstruction, and wavelet transform Applications to signal processing are provided throughout the book, most involving the filtering and compression of signals from audio or video. Some of these applications are presented first in the context of Fourier analysis and are later explored in the chapters on wavelets. New exercises introduce additional applications, and complete proofs accompany the discussion of each presented theory. Extensive appendices outline more advanced proofs and partial solutions to exercises as well as updated MATLAB routines that supplement the presented examples. A First Course in Wavelets with Fourier Analysis, Second Edition is an excellent book for courses in mathematics and engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for mathematicians, signal processing engineers, and scientists who wish to learn about wavelet theory and Fourier analysis on an elementary level.

Generalizations of Cyclostationary Signal Processing

Author : Antonio Napolitano
Publisher : John Wiley & Sons
ISBN 13 : 1118437918
Total Pages : 452 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Generalizations of Cyclostationary Signal Processing by : Antonio Napolitano

Download or read book Generalizations of Cyclostationary Signal Processing written by Antonio Napolitano and published by John Wiley & Sons. This book was released on 2012-12-07 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.

Introduction to Spectral Analysis

Author : Petre Stoica
Publisher : Pearson Education
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Spectral Analysis by : Petre Stoica

Download or read book Introduction to Spectral Analysis written by Petre Stoica and published by Pearson Education. This book was released on 1997 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it develops a firm understanding of tools and techniques as well as a solid background for performing research. Topics covered include nonparametric spectrum analysis (both periodogram-based approaches and filter- bank approaches), parametric spectral analysis using rational spectral models (AR, MA, and ARMA models), parametric method for line spectra, and spatial (array) signal processing. Analytical and Matlab-based computer exercises are included to develop both analytical skills and hands-on experience.

Statistical Digital Signal Processing and Modeling

Author : Monson H. Hayes
Publisher : John Wiley & Sons
ISBN 13 : 0471594318
Total Pages : 629 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Statistical Digital Signal Processing and Modeling by : Monson H. Hayes

Download or read book Statistical Digital Signal Processing and Modeling written by Monson H. Hayes and published by John Wiley & Sons. This book was released on 1996-04-19 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.