Download or read book Modern Spectral Estimation written by Steven M. Kay and published by . This book was released on 1988 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modern Spectral Estimation written by Steven M. Kay and published by Prentice-Hall PTR. This book was released on 1999-03-01 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modern Spectral Estimation written by Steven M. Kay and published by Pearson Education India. This book was released on 1988 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Spectral Analysis written by Petre Stoica and published by Pearson Education. This book was released on 1997 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Modern Spectrum Analysis written by Donald G. Childers and published by IEEE Computer Society Press. This book was released on 1978 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Spectral Analysis for Physical Applications written by Donald B. Percival and published by Cambridge University Press. This book was released on 1993-06-03 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Download or read book Spectral Analysis of Signals written by Yanwei Wang and published by Morgan & Claypool Publishers. This book was released on 2005 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Modern Spectral Analysis with Geophysical Applications written by Markus Båth and published by . This book was released on 1995 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Digital Spectral Analysis written by S. Lawrence Marple, Jr. and published by Courier Dover Publications. This book was released on 2019-03-20 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Modern Spectral Estimation Methods Applied to FOLiage PENetration Synthetic Aperture Radar Imagery written by Leiter Kang and published by . This book was released on 2000 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NMR Spectroscopy Modern Spectral Analysis written by Ursula Weber and published by John Wiley & Sons. This book was released on 2008-11-21 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state-of-the-art in NMR spectral analysis. This interactive tutorial provides readers with a comprehensive range of software tools and techniques, as well as the necessary theoretical knowledge required to analyze their spectra and obtain the correct NMR parameters. Modern Spectral Analysis provides expert guidance, by presenting efficient strategies to extract NMR parameters from measured spectra. A database of selected spectra and modern, powerful WIN-NMR software designed by Bruker are provided on the enclosed CD-ROM. The programs provided are 1 D WIN-NMR, WIN-DAISY, WIN-DR and WIN-DYNAMICS, and direct data exchange between all these programs is possible. Readers are shown how they can obtain maximum structural information from their 1 D NMR spectra with time-saving computer assistance. Practical problems that can occur and their solutions are discussed at length using clear, easy-to-follow examples. Both homo- and heteronuclear and first- and second-order spin systems are demonstrated. Moreover, relaxation analysis, nuclear Overhauser effects and magnetic site exchange are all covered in this hands-on guide to NMR spectral analysis.
Download or read book Modern Spectral Estimation Techniques written by Ramiro Jordan M. and published by . This book was released on 1988 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Spectral Analysis and Filter Theory in Applied Geophysics written by Burkhard Buttkus and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Download or read book Bayesian Spectrum Analysis and Parameter Estimation written by G. Larry Bretthorst and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is essentially an extensive revision of my Ph.D. dissertation, [1J. It 1S primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material. Any person with the equivalent of the mathematics background required for the graduate level study of physics should be able to follow the material contained in this book, though not without eIfort. From the time the dissertation was written until now (approximately one year) our understanding of the parameter estimation problem has changed extensively. We have tried to incorporate what we have learned into this book. I am indebted to a number of people who have aided me in preparing this docu ment: Dr. C. Ray Smith, Steve Finney, Juana Sunchez, Matthew Self, and Dr. Pat Gibbons who acted as readers and editors. In addition, I must extend my deepest thanks to Dr. Joseph Ackerman for his support during the time this manuscript was being prepared.
Download or read book Applications of Modern Spectral Estimation Techniques to Radar Data written by N. B. Lawrence and published by . This book was released on 1984 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Modern Spectral Analysis (MSA) techniques involving linear prediction theory are reviewed and applied to radar signal processing. Specifically, the maximum entropy or forward-backward linear prediction method as implemented with Andersen's Burg algorithm is compared with the least-squares method as implemented with Marple's algorithm using as test signals autoregressive (AR) processes of 2nd and 4th orders plus single and dual sinusoids in Gaussian white noise. It is shown that Marple's indicators for terminating the AR model order iteration perform better than the more commonly employed Akike or Parzen techniques for both AR processes and noisy sinusoids. The concept is examined for using MSA to predict the AR coefficients of a clutter-dominated radar return, and in turn employing these coefficients as a FIR digital filter to suppress the clutter. Recent work on adaptive clutter filtering is reviewed. The ability of these two algorithms to resolve two closely-spaced sinusoids in a high noise environment is studied using Tranter's test signal. It is shown that model-order size rather than signal-to-noise (SNR) seems to be the dominant factor for SNR in the range of 10 to 30 dB. (Author).
Download or read book Spectral Analysis of Relativistic Operators written by A. A. Balinsky and published by World Scientific. This book was released on 2011 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, there has been considerable interest and progress in determining the spectral properties of various operators that take relativistic effects into account, with important implications for mathematics and physics. Difficulties are encountered in many-particle problems due to the lack of semiboundedness of the Dirac operator, and this has led to the investigation of operators like those of Chandrasekhar-Herbst and Brown-Ravenhall, which are semibounded under appropriate circumstances.This book contains an up-to-date, comprehensive and self-contained analysis of the spectral properties of these operators, providing the tools for anyone working in this area. Another major feature is the work of the authors on zero modes, a topic which has important significance for the stability of matter and other physical problems. Up until now, these topics have been scattered throughout the literature, without a systematic and cohesive treatment. The book will report largely on the progress on these topics published since 1992.
Download or read book Spectral Algorithms written by Ravindran Kannan and published by Now Publishers Inc. This book was released on 2009 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral methods refer to the use of eigenvalues, eigenvectors, singular values and singular vectors. They are widely used in Engineering, Applied Mathematics and Statistics. More recently, spectral methods have found numerous applications in Computer Science to "discrete" as well as "continuous" problems. Spectral Algorithms describes modern applications of spectral methods, and novel algorithms for estimating spectral parameters. The first part of the book presents applications of spectral methods to problems from a variety of topics including combinatorial optimization, learning and clustering. The second part of the book is motivated by efficiency considerations. A feature of many modern applications is the massive amount of input data. While sophisticated algorithms for matrix computations have been developed over a century, a more recent development is algorithms based on "sampling on the fly" from massive matrices. Good estimates of singular values and low rank approximations of the whole matrix can be provably derived from a sample. The main emphasis in the second part of the book is to present these sampling methods with rigorous error bounds. It also presents recent extensions of spectral methods from matrices to tensors and their applications to some combinatorial optimization problems.
