Spectral Analysis Of Signals


Spectral Analysis Of Signals
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Spectral Analysis Of Signals


Spectral Analysis Of Signals
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Author : Yanwei Wang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2006-01-01

Spectral Analysis Of Signals written by Yanwei Wang and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Technology & Engineering categories.


Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the challenge is how to extend the existing spectral estimation techniques to deal with these missing-data samples. Recently, nonparametric adaptive filtering based techniques have been developed successfully for various missing-data problems. Collectively, these algorithms provide a comprehensive toolset for the missing-data problem based exclusively on the nonparametric adaptive filter-bank approaches, which are robust and accurate, and can provide high resolution and low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems.



Spectral Analysis Of Signals


Spectral Analysis Of Signals
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Author : Randolph L. Moses
language : en
Publisher:
Release Date : 2011

Spectral Analysis Of Signals written by Randolph L. Moses and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Introduction To Spectral Analysis


Introduction To Spectral Analysis
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Author : Petre Stoica
language : en
Publisher: Pearson Education
Release Date : 1997

Introduction To Spectral Analysis written by Petre Stoica and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematics categories.


This book presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it develops a firm understanding of tools and techniques as well as a solid background for performing research. Topics covered include nonparametric spectrum analysis (both periodogram-based approaches and filter- bank approaches), parametric spectral analysis using rational spectral models (AR, MA, and ARMA models), parametric method for line spectra, and spatial (array) signal processing. Analytical and Matlab-based computer exercises are included to develop both analytical skills and hands-on experience.



Digital Spectral Analysis


Digital Spectral Analysis
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Author : S. Lawrence Marple, Jr.
language : en
Publisher: Courier Dover Publications
Release Date : 2019-03-20

Digital Spectral Analysis written by S. Lawrence Marple, Jr. and has been published by Courier Dover Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-20 with Technology & Engineering categories.


Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics include Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods. Suitable for advanced undergraduates and graduate students of electrical engineering — and for scientific use in the signal processing application community outside of universities — the treatment's prerequisites include some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. 1987 edition.



Spectral Analysis Of Signals The Missing Data Case


Spectral Analysis Of Signals The Missing Data Case
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Author : Yanwei Wang
language : en
Publisher:
Release Date : 2005

Spectral Analysis Of Signals The Missing Data Case written by Yanwei Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Adaptive signal processing categories.




Signal Processing Discrete Spectral Analysis Detection And Estimation


Signal Processing Discrete Spectral Analysis Detection And Estimation
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Author : Mischa Schwartz
language : en
Publisher: McGraw-Hill Companies
Release Date : 1975

Signal Processing Discrete Spectral Analysis Detection And Estimation written by Mischa Schwartz and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Science categories.




Time Frequency Analysis


Time Frequency Analysis
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Author : Franz Hlawatsch
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-01

Time Frequency Analysis written by Franz Hlawatsch 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 2013-03-01 with Technology & Engineering categories.


Covering a period of about 25 years, during which time-frequency has undergone significant developments, this book is principally addressed to researchers and engineers interested in non-stationary signal analysis and processing. It is written by recognized experts in the field.



Digital Signal Processing And Spectral Analysis For Scientists


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.



Advances In Spectrum Analysis And Array Processing


Advances In Spectrum Analysis And Array Processing
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Author : Simon S. Haykin
language : en
Publisher:
Release Date : 1991

Advances In Spectrum Analysis And Array Processing written by Simon S. Haykin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Signal processing categories.




Automatic Autocorrelation And Spectral Analysis


Automatic Autocorrelation And Spectral Analysis
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Author : Petrus M.T. Broersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-02

Automatic Autocorrelation And Spectral Analysis written by Petrus M.T. Broersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-02 with Technology & Engineering categories.


Spectral analysis requires subjective decisions which influence the final estimate and mean that different analysts can obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that is only acceptable if it is close to the best attainable accuracy for most types of stationary data. This book describes a method which fulfils the above near-optimal-solution criterion, taking advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data.