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A First Course in Statistics for Signal Analysis

Author : Wojbor Woyczynski

Publisher : Birkhäuser

Page : 261 pages

File Size : 26,53 MB

Release : 2010-10-28

Category : Mathematics

ISBN : 9780817681005

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Book Description

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 A. Woyczynski

Publisher : Springer Science & Business Media

Page : 271 pages

File Size : 22,6 MB

Release : 2010-10-14

Category : Mathematics

ISBN : 0817681019

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Book Description

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 A. Woyczyński

Publisher : Springer Nature

Page : 338 pages

File Size : 18,29 MB

Release : 2019-10-04

Category : Mathematics

ISBN : 3030209083

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Book Description

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.



Algorithms for Statistical Signal Processing

Author : John G. Proakis

Publisher :

Page : 584 pages

File Size : 26,30 MB

Release : 2002

Category : Computers

ISBN :

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Book Description

Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on "advanced topics" ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.



An Introduction to Statistical Signal Processing

Author : Robert M. Gray

Publisher : Cambridge University Press

Page : 479 pages

File Size : 28,49 MB

Release : 2004-12-02

Category : Technology & Engineering

ISBN : 1139456288

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Book Description

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.





A First Course in Statistics for Signal Analysis

Author : Wojbor Andrzej Woyczyński

Publisher : Birkhauser

Page : 206 pages

File Size : 20,76 MB

Release : 2006

Category : Technology & Engineering

ISBN : 9780817643980

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Book Description

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.



Smart Machining Systems

Author : Kunpeng Zhu

Publisher : Springer Nature

Page : 420 pages

File Size : 15,99 MB

Release : 2021-11-23

Category : Technology & Engineering

ISBN : 3030878783

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Book Description

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.



A First Course in Fourier Analysis

Author : David W. Kammler

Publisher : Cambridge University Press

Page : 39 pages

File Size : 35,71 MB

Release : 2008-01-17

Category : Mathematics

ISBN : 1139469037

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Book Description

This book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.



Fundamentals of Statistical Signal Processing

Author : Steven M. Kay

Publisher : Pearson Education

Page : 496 pages

File Size : 36,89 MB

Release : 2013

Category : Technology & Engineering

ISBN : 013280803X

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Book Description

"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.