An Introduction to Statistical Signal Processing

Download An Introduction to Statistical Signal Processing PDF Online Free

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

DOWNLOAD NOW!


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.

Introduction to Statistical Signal Processing with Applications

Download Introduction to Statistical Signal Processing with Applications PDF Online Free

Author :
Publisher :
ISBN 13 : 9780131252950
Total Pages : 450 pages
Book Rating : 4.2/5 (529 download)

DOWNLOAD NOW!


Book Synopsis Introduction to Statistical Signal Processing with Applications by : Mandyam Dhati Srinath

Download or read book Introduction to Statistical Signal Processing with Applications written by Mandyam Dhati Srinath and published by . This book was released on 1996 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Statistical Signal Processing with Applications

Download An Introduction to Statistical Signal Processing with Applications PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis An Introduction to Statistical Signal Processing with Applications by : Mandyam Dhati Srinath

Download or read book An Introduction to Statistical Signal Processing with Applications written by Mandyam Dhati Srinath and published by John Wiley & Sons. This book was released on 1979 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: In An Introduction to Statistical Signal Processing with Applications, these three author/educators cover basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications.

Introduction to Applied Statistical Signal Analysis

Download Introduction to Applied Statistical Signal Analysis PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0080467687
Total Pages : 424 pages
Book Rating : 4.0/5 (84 download)

DOWNLOAD NOW!


Book Synopsis Introduction to Applied Statistical Signal Analysis by : Richard Shiavi

Download or read book Introduction to Applied Statistical Signal Analysis written by Richard Shiavi and published by Elsevier. This book was released on 2010-07-19 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction To Statistical Signal Processing With Applications,1/e

Download Introduction To Statistical Signal Processing With Applications,1/e PDF Online Free

Author :
Publisher :
ISBN 13 : 9788129700957
Total Pages : 499 pages
Book Rating : 4.7/5 (9 download)

DOWNLOAD NOW!


Book Synopsis Introduction To Statistical Signal Processing With Applications,1/e by : Mandyam Dhati Srinath

Download or read book Introduction To Statistical Signal Processing With Applications,1/e written by Mandyam Dhati Srinath and published by . This book was released on 1979 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Signal Processing

Download Statistical Signal Processing PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 8132206282
Total Pages : 142 pages
Book Rating : 4.1/5 (322 download)

DOWNLOAD NOW!


Book Synopsis Statistical Signal Processing by : Debasis Kundu

Download or read book Statistical Signal Processing written by Debasis Kundu and published by Springer Science & Business Media. This book was released on 2012-05-24 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research.

Digital and Statistical Signal Processing

Download Digital and Statistical Signal Processing PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 042901757X
Total Pages : 377 pages
Book Rating : 4.4/5 (29 download)

DOWNLOAD NOW!


Book Synopsis Digital and Statistical Signal Processing by : Anastasia Veloni

Download or read book Digital and Statistical Signal Processing written by Anastasia Veloni and published by CRC Press. This book was released on 2018-10-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Signal Processing for Neuroscience and Neurotechnology

Download Statistical Signal Processing for Neuroscience and Neurotechnology PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0080962963
Total Pages : 441 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!


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 441 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

Statistical Signal Processing of Complex-Valued Data

Download Statistical Signal Processing of Complex-Valued Data PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1139487620
Total Pages : 331 pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!


Book Synopsis Statistical Signal Processing of Complex-Valued Data by : Peter J. Schreier

Download or read book Statistical Signal Processing of Complex-Valued Data written by Peter J. Schreier and published by Cambridge University Press. This book was released on 2010-02-04 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.

Introduction to Statistical Signal Processing with Applications

Download Introduction to Statistical Signal Processing with Applications PDF Online Free

Author :
Publisher :
ISBN 13 : 9788120314719
Total Pages : 450 pages
Book Rating : 4.3/5 (147 download)

DOWNLOAD NOW!


Book Synopsis Introduction to Statistical Signal Processing with Applications by : Mandyam D. Srinath

Download or read book Introduction to Statistical Signal Processing with Applications written by Mandyam D. Srinath and published by . This book was released on 1999 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Statistical Signal Processing

Download Fundamentals of Statistical Signal Processing PDF Online Free

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

DOWNLOAD NOW!


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.

Algorithms for Statistical Signal Processing

Download Algorithms for Statistical Signal Processing PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis Algorithms for Statistical Signal Processing by : John G. Proakis

Download or read book Algorithms for Statistical Signal Processing written by John G. Proakis and published by . This book was released on 2002 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Digital Signal Processing and Modeling

Download Statistical Digital Signal Processing and Modeling PDF Online Free

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

DOWNLOAD NOW!


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.

Digital Signal Processing and Statistical Classification

Download Digital Signal Processing and Statistical Classification PDF Online Free

Author :
Publisher : Artech House
ISBN 13 : 9781580531351
Total Pages : 522 pages
Book Rating : 4.5/5 (313 download)

DOWNLOAD NOW!


Book Synopsis Digital Signal Processing and Statistical Classification by : George J. Miao

Download or read book Digital Signal Processing and Statistical Classification written by George J. Miao and published by Artech House. This book was released on 2002 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.

Statistical Signal Processing in Engineering

Download Statistical Signal Processing in Engineering PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119293979
Total Pages : 604 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!


Book Synopsis Statistical Signal Processing in Engineering by : Umberto Spagnolini

Download or read book Statistical Signal Processing in Engineering written by Umberto Spagnolini and published by John Wiley & Sons. This book was released on 2018-02-05 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Probability, Random Processes, and Statistical Analysis

Download Probability, Random Processes, and Statistical Analysis PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1139502611
Total Pages : 813 pages
Book Rating : 4.1/5 (395 download)

DOWNLOAD NOW!


Book Synopsis Probability, Random Processes, and Statistical Analysis by : Hisashi Kobayashi

Download or read book Probability, Random Processes, and Statistical Analysis written by Hisashi Kobayashi and published by Cambridge University Press. This book was released on 2011-12-15 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Fundamentals of Statistical Signal Processing: Detection theory

Download Fundamentals of Statistical Signal Processing: Detection theory PDF Online Free

Author :
Publisher : Pearson
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.:/5 (318 download)

DOWNLOAD NOW!


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

Download or read book Fundamentals of Statistical Signal Processing: Detection theory written by Steven M. Kay and published by Pearson. This book was released on 1998 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: V.2 Detection theory -- V.1 Estimation theory.