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Introduction to Applied Statistical Signal Analysis

Introduction to Applied Statistical Signal Analysis
  • Author : Richard Shiavi
  • Publisher :Unknown
  • Release Date :2010-07-19
  • Total pages :424
  • ISBN : 9780080467689
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Summary : 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.

An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing
  • Author : Robert M. Gray,Lee D. Davisson
  • Publisher :Unknown
  • Release Date :2004-12-02
  • Total pages :229
  • ISBN : 1139456288
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Summary : 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.

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
  • Author : Karim G. Oweiss
  • Publisher :Unknown
  • Release Date :2010-09-22
  • Total pages :433
  • ISBN : 0080962963
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Summary : 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

Fractional Order Signal Processing

Fractional Order Signal Processing
  • Author : Saptarshi Das,Indranil Pan
  • Publisher :Unknown
  • Release Date :2011-09-15
  • Total pages :101
  • ISBN : 3642231179
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Summary : The book tries to briefly introduce the diverse literatures in the field of fractional order signal processing which is becoming an emerging topic among an interdisciplinary community of researchers. This book is aimed at postgraduate and beginning level research scholars who would like to work in the field of Fractional Order Signal processing (FOSP). The readers should have preliminary knowledge about basic signal processing techniques. Prerequisite knowledge of fractional calculus is not essential and is exposited at relevant places in connection to the appropriate signal processing topics. Basic signal processing techniques like filtering, estimation, system identification, etc. in the light of fractional order calculus are presented along with relevant application areas. The readers can easily extend these concepts to varied disciplines like image or speech processing, pattern recognition, time series forecasting, financial data analysis and modeling, traffic modeling in communication channels, optics, biomedical signal processing, electrochemical applications and many more. Adequate references are provided in each category so that the researchers can delve deeper into each area and broaden their horizon of understanding. Available MATLAB tools to simulate FOSP theories are also introduced so that the readers can apply the theoretical concepts right-away and gain practical insight in the specific domain.

Digital and Statistical Signal Processing

Digital and Statistical Signal Processing
  • Author : Anastasia Veloni,Nikolaos Miridakis,Erysso Boukouvala
  • Publisher :Unknown
  • Release Date :2018-10-03
  • Total pages :558
  • ISBN : 9780429017582
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Summary : 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

Statistical Signal Processing
  • Author : T. Chonavel
  • Publisher :Unknown
  • Release Date :2002-03-22
  • Total pages :331
  • ISBN : 1852333855
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Summary : The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.

A First Course in Statistics for Signal Analysis

A First Course in Statistics for Signal Analysis
  • Author : Wojbor A. Woyczyński
  • Publisher :Unknown
  • Release Date :2019-10-04
  • Total pages :332
  • ISBN : 9783030209087
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Summary : 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.

Statistical Signal Processing

Statistical Signal Processing
  • Author : Swagata Nandi,Debasis Kundu
  • Publisher :Unknown
  • Release Date :2020-08-21
  • Total pages :265
  • ISBN : 9789811562808
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Summary : 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.

Robust Statistics for Signal Processing

Robust Statistics for Signal Processing
  • Author : Abdelhak M. Zoubir,Visa Koivunen,Esa Ollila,Michael Muma
  • Publisher :Unknown
  • Release Date :2018-10-31
  • Total pages :250
  • ISBN : 9781107017412
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Summary : Understand the benefits of robust statistics for signal processing using this unique and authoritative text.

Understanding Digital Signal Processing with MATLAB® and Solutions

Understanding Digital Signal Processing with MATLAB® and Solutions
  • Author : Alexander D. Poularikas
  • Publisher :Unknown
  • Release Date :2017-11-13
  • Total pages :455
  • ISBN : 9781351623285
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Summary : The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus’ heartbeat over the mother’s. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.

Statistical Signal Processing

Statistical Signal Processing
  • Author : Debasis Kundu,Swagata Nandi
  • Publisher :Unknown
  • Release Date :2012-05-24
  • Total pages :132
  • ISBN : 9788132206286
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Summary : 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.

Statistical Signal Processing in Engineering

Statistical Signal Processing in Engineering
  • Author : Umberto Spagnolini
  • Publisher :Unknown
  • Release Date :2018-02-05
  • Total pages :608
  • ISBN : 9781119293972
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Summary : 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.

Mechanical Engineering News

Mechanical Engineering News
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1991
  • Total pages :229
  • ISBN : STANFORD:36105009012381
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Summary :

Random Signal Processing

Random Signal Processing
  • Author : Dwight F. Mix
  • Publisher :Unknown
  • Release Date :1995
  • Total pages :450
  • ISBN : UOM:39015034870389
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Summary : Providing detailed coverage of Wiener filtering and Kalman filtering, this book presents a coherent treatment of estimation theory and an in-depth look at detection theory for communication and pattern recognition.

Genomic Signal Processing and Statistics

Genomic Signal Processing and Statistics
  • Author : Edward R. Dougherty
  • Publisher :Unknown
  • Release Date :2005
  • Total pages :449
  • ISBN : 9789775945075
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Summary : Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.

Biomedical Signal Analysis

Biomedical Signal Analysis
  • Author : Rangaraj M. Rangayyan
  • Publisher :Unknown
  • Release Date :2015-04-24
  • Total pages :720
  • ISBN : 9781119067931
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Summary : The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications 800 mathematical expressions and equations Practical questions, problems and laboratory exercises Includes fractals and chaos theory with biomedical applications

An Introduction to Applied Multivariate Analysis with R

An Introduction to Applied Multivariate Analysis with R
  • Author : Brian Everitt,Torsten Hothorn
  • Publisher :Unknown
  • Release Date :2011-04-23
  • Total pages :274
  • ISBN : 1441996508
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Summary : The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Statistical and Adaptive Signal Processing

Statistical and Adaptive Signal Processing
  • Author : Dimitris G. Manolakis,Vinay K. Ingle,Stephen M. Kogon
  • Publisher :Unknown
  • Release Date :2005
  • Total pages :796
  • ISBN : STANFORD:36105114109536
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Summary : This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.

Classic Teachings in Clinical Cardiology

Classic Teachings in Clinical Cardiology
  • Author : Michael Alton Chizner
  • Publisher :Unknown
  • Release Date :1996
  • Total pages :1526
  • ISBN : UOM:39015038541382
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Summary : Laennec Publishing, featuring the "back to basics" works of Dr. W. Proctor Harvey, the foremost authority on cardiac auscultation & a living legend in cardiovascular medicine, proudly introduces its newest release. CLASSIC TEACHINGS IN CLINICAL CARDIOLOGY - A TRIBUTE TO W. PROCTOR HARVEY is a two-volume state-of-the-art treatise written by a team of distinguished medical experts renowned in their respective areas of clinical cardiology & cardiovascular education. This authoritative 62-chapter masterpiece includes a full range of cardiologic discussion, from the clinical art of cardiac diagnosis to the latest advances, research & innovation in the cost-effective management & treatment of cardiovascular disease. Dr. Harvey's "pearls" of practical wisdom, which have stood the test of time, have been interspersed throughout the text providing a unique personal & human touch. These writings have helped set the standard for quality medical education on cardiovascular diagnosis, evaluation & care, & have themselves become "classics." This modern, up-to-date two-volume collective tribute, complete with attractive slip case for easy storage & handsome display, is available through Laennec Publishing for $145. Call 800-528-0797 or 201-239-4300, or FAX 201-857-4440. Visa & MasterCard accepted. Please add $10 for shipping.

An Introduction to Signal Detection and Estimation

An Introduction to Signal Detection and Estimation
  • Author : H. Vincent Poor
  • Publisher :Unknown
  • Release Date :2013-06-29
  • Total pages :549
  • ISBN : 9781475738636
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Summary : The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Author : Wim van Drongelen
  • Publisher :Unknown
  • Release Date :2006-12-18
  • Total pages :320
  • ISBN : 008046775X
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Summary : Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670