Modern Spectral Estimation
Author: Steven M. Kay
Publisher:
Published: 1988
Total Pages: 574
ISBN-13:
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Author: Steven M. Kay
Publisher:
Published: 1988
Total Pages: 574
ISBN-13:
DOWNLOAD EBOOKAuthor: Steven M. Kay
Publisher: Prentice-Hall PTR
Published: 1999-03-01
Total Pages: 539
ISBN-13: 9780130151599
DOWNLOAD EBOOKAuthor: Steven M. Kay
Publisher: Pearson Education India
Published: 1988
Total Pages: 564
ISBN-13: 9788131733561
DOWNLOAD EBOOKAuthor: Donald B. Percival
Publisher: Cambridge University Press
Published: 1993-06-03
Total Pages: 616
ISBN-13: 9780521435413
DOWNLOAD EBOOKThis book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography.
Author: Petre Stoica
Publisher: Pearson Education
Published: 1997
Total Pages: 358
ISBN-13:
DOWNLOAD EBOOKThis 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.
Author: Yanwei Wang
Publisher: Morgan & Claypool Publishers
Published: 2005
Total Pages: 108
ISBN-13: 1598290002
DOWNLOAD EBOOKSpectral 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.
Author: Donald G. Childers
Publisher: IEEE Computer Society Press
Published: 1978
Total Pages: 348
ISBN-13:
DOWNLOAD EBOOKAuthor: Burkhard Buttkus
Publisher: Springer Science & Business Media
Published: 2000-03-27
Total Pages: 698
ISBN-13: 9783540626749
DOWNLOAD EBOOKThis state-of-the-art survey serves as a complete overview of the subject. Besides the principles and theoretical foundations, emphasis is laid on practical applicability -- describing not only classical methods, but also modern developments and their applications. Students, researchers and practitioners, especially in the fields of data registration, treatment and evaluation, will find this a wealth of information.
Author: S. Lawrence Marple, Jr.
Publisher: Courier Dover Publications
Published: 2019-03-20
Total Pages: 435
ISBN-13: 048678052X
DOWNLOAD EBOOKDigital 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.
Author: Markus Båth
Publisher:
Published: 1995
Total Pages: 544
ISBN-13:
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