Introduction To Applied Statistical Signal Analysis PDF Download
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Author | : Richard Shiavi |
Publisher | : Elsevier |
Total Pages | : 424 |
Release | : 2010-07-19 |
Genre | : Technology & Engineering |
ISBN | : 0080467687 |
Download Introduction to Applied Statistical Signal Analysis Book in PDF, ePub and Kindle
Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain.
Author | : Richard Shiavi |
Publisher | : Richard d Irwin |
Total Pages | : 454 |
Release | : 1991 |
Genre | : Technology & Engineering |
ISBN | : 9780256088625 |
Download Introduction to Applied Statistical Signal Analysis Book in PDF, ePub and Kindle
Introduction to Applied Statistical Signal Analysis, 2nd Edition provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises that range from pencil and paper format to computer-based format problems to instructional notebooks. The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning.
Author | : Robert M. Gray |
Publisher | : Cambridge University Press |
Total Pages | : 479 |
Release | : 2004-12-02 |
Genre | : Technology & Engineering |
ISBN | : 1139456288 |
Download An Introduction to Statistical Signal Processing Book in PDF, ePub and Kindle
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.
Author | : Karim G. Oweiss |
Publisher | : Academic Press |
Total Pages | : 441 |
Release | : 2010-09-22 |
Genre | : Technology & Engineering |
ISBN | : 0080962963 |
Download Statistical Signal Processing for Neuroscience and Neurotechnology Book in PDF, ePub and Kindle
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
Author | : Mandyam Dhati Srinath |
Publisher | : |
Total Pages | : 450 |
Release | : 1996 |
Genre | : Technology & Engineering |
ISBN | : 9780131252950 |
Download Introduction to Statistical Signal Processing with Applications Book in PDF, ePub and Kindle
An Introduction to Statistical Signal Processing with Applications covers basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications. The book presents both detection and estimation in a clear, concise fashion and reflects recent developments and shifting emphases in the field.
Author | : Swagata Nandi |
Publisher | : Springer Nature |
Total Pages | : 265 |
Release | : 2020-08-21 |
Genre | : Computers |
ISBN | : 9811562806 |
Download Statistical Signal Processing Book in PDF, ePub and Kindle
This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.
Author | : Anastasia Veloni |
Publisher | : CRC Press |
Total Pages | : 377 |
Release | : 2018-10-03 |
Genre | : Technology & Engineering |
ISBN | : 042901757X |
Download Digital and Statistical Signal Processing Book in PDF, ePub and Kindle
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently. FEATURES Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues.
Author | : Monson H. Hayes |
Publisher | : John Wiley & Sons |
Total Pages | : 629 |
Release | : 1996-04-19 |
Genre | : Technology & Engineering |
ISBN | : 0471594318 |
Download Statistical Digital Signal Processing and Modeling Book in PDF, ePub and Kindle
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.
Author | : Steven M. Kay |
Publisher | : Pearson Education |
Total Pages | : 496 |
Release | : 2013 |
Genre | : Technology & Engineering |
ISBN | : 013280803X |
Download Fundamentals of Statistical Signal Processing Book in PDF, ePub and Kindle
"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.
Author | : Umberto Spagnolini |
Publisher | : John Wiley & Sons |
Total Pages | : 604 |
Release | : 2018-02-05 |
Genre | : Technology & Engineering |
ISBN | : 1119293979 |
Download Statistical Signal Processing in Engineering Book in PDF, ePub and Kindle
A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals. In writing it, the author drew on his vast theoretical and practical experience in the field to provide a quick-solution manual for technicians and engineers, offering field-tested solutions to most problems engineers can encounter. At the same time, the book delineates the basic concepts and applied mathematics underlying each solution so that readers can go deeper into the theory to gain a better idea of the solution’s limitations and potential pitfalls, and thus tailor the best solution for the specific engineering application. Uniquely, Statistical Signal Processing in Engineering can also function as a textbook for engineering graduates and post-graduates. Dr. Spagnolini, who has had a quarter of a century of experience teaching graduate-level courses in digital and statistical signal processing methods, provides a detailed axiomatic presentation of the conceptual and mathematical foundations of statistical signal processing that will challenge students’ analytical skills and motivate them to develop new applications on their own, or better understand the motivation underlining the existing solutions. Throughout the book, some real-world examples demonstrate how powerful a tool statistical signal processing is in practice across a wide range of applications. Takes an interdisciplinary approach, integrating basic concepts and tools for statistical signal processing Informed by its author’s vast experience as both a practitioner and teacher Offers a hands-on approach to solving problems in statistical signal processing Covers a broad range of applications, including communication systems, machine learning, wavefield and array processing, remote sensing, image filtering and distributed computations Features numerous real-world examples from a wide range of applications showing the mathematical concepts involved in practice Includes MATLAB code of many of the experiments in the book Statistical Signal Processing in Engineering is an indispensable working resource for electrical engineers, especially those working in the information and communication technology (ICT) industry. It is also an ideal text for engineering students at large, applied mathematics post-graduates and advanced undergraduates in electrical engineering, applied statistics, and pure mathematics, studying statistical signal processing.