Digital Signal Processing And Time Series Analysis
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Digital Signal Processing And Time Series Analysis
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Author : Enders A. Robinson
language : en
Publisher:
Release Date : 1978
Digital Signal Processing And Time Series Analysis written by Enders A. Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Technology & Engineering categories.
Digital Foundations Of Time Series Analysis
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Author : Enders A. Robinson
language : en
Publisher:
Release Date : 1979
Digital Foundations Of Time Series Analysis written by Enders A. Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
Digital Foundations Of Time Series Analysis
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Author : Enders A. Robinson
language : en
Publisher:
Release Date : 1981
Digital Foundations Of Time Series Analysis written by Enders A. Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Statistical Signal Processing
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Author : Louis L. Scharf
language : en
Publisher: Prentice Hall
Release Date : 1991
Statistical Signal Processing written by Louis L. Scharf and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Technology & Engineering categories.
This book embraces the many mathematical procedures that engineers and statisticians use to draw inference from imperfect or incomplete measurements. This book presents the fundamental ideas in statistical signal processing along four distinct lines: mathematical and statistical preliminaries; decision theory; estimation theory; and time series analysis.
Digital Spectral Analysis
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Author : Francis Castanié
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-04
Digital Spectral Analysis written by Francis Castanié and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-04 with Mathematics categories.
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators. Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids. Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.
Foundations Of Digital Signal Processing And Data Analysis
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Author : James A Cadzow
language : en
Publisher:
Release Date : 2000
Foundations Of Digital Signal Processing And Data Analysis written by James A Cadzow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Handbook Of Time Series Analysis Signal Processing And Dynamics
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Author : D. S.G. Pollock
language : en
Publisher: Elsevier
Release Date : 1999-10-26
Handbook Of Time Series Analysis Signal Processing And Dynamics written by D. S.G. Pollock and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-26 with Technology & Engineering categories.
The aim of this book is to serve as a graduate text and reference in time series analysis and signal processing, two closely related subjects that are the concern of a wide range of disciplines, such as statistics, electrical engineering, mechanical engineering and physics.The book provides a CD-ROM containing codes in PASCAL and C for the computer procedures printed in the book. It also furnishes a complete program devoted to the statistical analysis of time series, which will be attractive to a wide range of academics working in diverse mathematical disciplines.
Foundations Of Time Series Analysis And Prediction Theory
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Author : Mohsen Pourahmadi
language : en
Publisher: John Wiley & Sons
Release Date : 2001-06-01
Foundations Of Time Series Analysis And Prediction Theory written by Mohsen Pourahmadi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-01 with Mathematics categories.
Foundations of time series for researchers and students This volume provides a mathematical foundation for time seriesanalysis and prediction theory using the idea of regression and thegeometry of Hilbert spaces. It presents an overview of the tools oftime series data analysis, a detailed structural analysis ofstationary processes through various reparameterizations employingtechniques from prediction theory, digital signal processing, andlinear algebra. The author emphasizes the foundation and structureof time series and backs up this coverage with theory andapplication. End-of-chapter exercises provide reinforcement for self-study andappendices covering multivariate distributions and Bayesianforecasting add useful reference material. Further coveragefeatures: * Similarities between time series analysis and longitudinal dataanalysis * Parsimonious modeling of covariance matrices through ARMA-likemodels * Fundamental roles of the Wold decomposition andorthogonalization * Applications in digital signal processing and Kalmanfiltering * Review of functional and harmonic analysis and predictiontheory Foundations of Time Series Analysis and Prediction Theory guidesreaders from the very applied principles of time series analysisthrough the most theoretical underpinnings of prediction theory. Itprovides a firm foundation for a widely applicable subject forstudents, researchers, and professionals in diverse scientificfields.
Time Frequency Signal Analysis And Processing
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Author : Boualem Boashash
language : en
Publisher: Academic Press
Release Date : 2015-12-11
Time Frequency Signal Analysis And Processing written by Boualem Boashash and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Computers categories.
Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed. Two new chapters and twenty three new sections, including updated references. New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods
Digital Signal Processing And Spectral Analysis For Scientists
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Author : Silvia Maria Alessio
language : en
Publisher: Springer
Release Date : 2015-12-09
Digital Signal Processing And Spectral Analysis For Scientists written by Silvia Maria Alessio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-09 with Technology & Engineering categories.
This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.