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Spectral Analysis Of One Dimensional Data Sequences
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Book Synopsis Digital Spectral Analysis by : S. Lawrence Marple, Jr.
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: Designed to offer a broad perspective on spectral estimations techniques and their implementation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. 1987 edition.
Book Synopsis An Introduction to Random Vibrations, Spectral & Wavelet Analysis by : D. E. Newland
Download or read book An Introduction to Random Vibrations, Spectral & Wavelet Analysis written by D. E. Newland and published by Courier Corporation. This book was released on 2012-04-03 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic describes and illustrates basic theory, with a detailed explanation of discrete wavelet transforms. Suitable for upper-level undergraduates, it is also a practical resource for professionals.
Book Synopsis Spectral Analysis of Signals by : Yanwei Wang
Download or read book Spectral Analysis of Signals written by Yanwei Wang and published by Springer Nature. This book was released on 2022-05-31 with total page 99 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.
Book Synopsis NMR-Spectroscopy: Modern Spectral Analysis by : Ursula Weber
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.
Book Synopsis Spectral Methods in Geodesy and Geophysics by : Christopher Jekeli
Download or read book Spectral Methods in Geodesy and Geophysics written by Christopher Jekeli and published by CRC Press. This book was released on 2017-10-02 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text develops the principal aspects of applied Fourier analysis and methodology with the main goal to inculcate a different way of perceiving global and regional geodetic and geophysical data, namely from the perspective of the frequency, or spectral, domain rather than the spatial domain. The word "methods" in the title is meant to convey that the transformation of a geophysical signal into the spectral domain can be applied for purposes of analysis as well as rapid computation. The text is written for graduate students; however, Chapters 1 through 4 and parts of 5 can also benefit undergraduates who have a solid and fluent knowledge of integral and differential calculus, have some statistical background, and are not uncomfortable with complex numbers. Concepts are developed by starting from the one-dimensional domain and working up to the spherical domain, which is part of every chapter. Many concepts are illustrated graphically with actual geophysical data primarily from signals of gravity, magnetism, and topography.
Book Synopsis Introduction to Stellar Astrophysics: Volume 1, Basic Stellar Observations and Data by : Erika Böhm-Vitense
Download or read book Introduction to Stellar Astrophysics: Volume 1, Basic Stellar Observations and Data written by Erika Böhm-Vitense and published by Cambridge University Press. This book was released on 1989-08-25 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduction to the basic elements of fundamental astronomy and astrophysics serves as a foundation for understanding the structure, evolution, and observed properties of stars. The first half of the book explains how stellar motions, distances, luminosities, colors, radii, masses and temperatures are measured or derived. The author then shows how data of these sorts can be arranged to classify stars through their spectra. Stellar rotation and stellar magnetic fields are introduced. Stars with peculiar spectra and pulsating stars also merit special attention. The endpoints of stellar evolutions are briefly described. There is a separate chapter on the Sun and a final one on interstellar absorption. The usefulness of this text is enhanced by the inclusion of problems for students, tables of astronomical constants, and a selective bibliography. This is an excellent textbook for undergraduate and beginning graduate students studying astronomy and astrophysics.
Book Synopsis NMR-Spectroscopy: Data Acquisition by : Christian Schorn
Download or read book NMR-Spectroscopy: Data Acquisition written by Christian Schorn and published by John Wiley & Sons. This book was released on 2001 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key to correct structure analysis. This volume of the successful "Spectroscopic Techniques" series familiarizes newcomers with the basic data acquisition procedures, modular pulse sequence units and complete sequences in NMR spectroscopy. It applies the numerous possibilities of Bruker's simulation program NMR-SIM to provide a guided introduction to the world of pulse sequences. The effectiveness of particular NMR experiments is demonstrated by the section "Check Its" and that of data processing by the accompanying CD-ROM with the Bruker processing software 1D and 2D WIN-NMR. This interactive approach to simulate spectra based on a reduced spin system and the processing of the accomplished NMR raw data is closely related to everyday work at the spectrometer. In this way, the author encourages beginners to use high resolution NMR, and also experts on NMR spectroscopy to evaluate new experiments using the easy-manageable simulation program.
Book Synopsis Linear Prediction of Speech by : J.D. Markel
Download or read book Linear Prediction of Speech written by J.D. Markel and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past ten years a new area in speech processing, generally referred to as linear prediction, has evolved. As with all scientific research, results did not always get published in a logical order and terminology was not always con sistent. In mid-1974, we decided to begin an extra hours and weekends project of organizing the literature in linear prediction of speech and developing it into a unified presentation in terms of content and terminology. This effort was completed in November, 1975, with the contents presented herein. If there are two words which describe our goals in this book, they are unifica tion and depth. Considerable effort has been spent on showing the interrelation ships among various linear prediction formulations and solutions, and in develop ing extensions such as acoustic tube models and synthesis filter structures in a unified manner with consistent terminology. Topics are presented in such a manner that derivations and theoretical details are covered, along with Fortran sub routines and practical considerations. Using this approach we hope to have made the material useful for a wide range of backgrounds and interests.
Download or read book Pulsar Astronomy written by Andrew Lyne and published by Cambridge University Press. This book was released on 2012-03 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its fourth edition, Pulsar Astronomy provides a thoroughly revised and updated introduction to the field of pulsar astronomy.
Book Synopsis Chemometrics by : Fabiano André Narciso Fernandes
Download or read book Chemometrics written by Fabiano André Narciso Fernandes and published by Elsevier. This book was released on 2024-06-26 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemometrics: Data Treatment and Applications demonstrates the best practices for treating real-world analytical instrument data and how to apply chemometrics to this data. Rather than focusing on the mathematical theory involved in chemometrics, this book is meant for the industrial chemist, and academics and advanced students that want to use chemometrics in practice. Case studies on several applications are presented. Unlike existing literature, this book focuses on best practices, practical realities, and challenges when treating data, rather than on the mathematical theory. It also provides basic information on chemometrics, several chapters on how to treat, and the best practices used to treat, data from different analytical instruments, as well as case studies and uses of chemometrics in different fields. The book is written primarily for analytic chemists as practitioners in analytical laboratories and other industries. It will also be useful to academics and graduate, masters and postdoc students chiefly working in analytical chemistry who want to improve the practical aspects of their research activities. - Presents topical and important chapters for the most-used analytical instruments - Focuses on practical issues in the implementation of chemometrics - Examines advances in the application of chemometrics in several fields - Includes frank perspectives on what works well for the data of a certain analytical instrument given the multiple choices of mathematical models and protocols that can be applied - Covered protocols are heavily illustrated with case studies showing their potential use and the advances in chemometrics
Book Synopsis Oxygen Transport to Tissue XX by : Antal G. Hudetz
Download or read book Oxygen Transport to Tissue XX written by Antal G. Hudetz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: ''In addition to a wide variety of traditional oxygen transport topics, particular areas have been selected for emphasis at the 1997 meeting, which are: Molecular and genetic techniques to study oxygen transport in health and disease Angiogenesis during hypoxia, ischemia, and development Physiological mechanisms of oxygen sensing Physiological fluctuations of cerebral blood flow, metabolism and oxygenation Near infrared and phsophorescence techniques for the assessment of blood and tissue oxygenation Advances in biotechnology of anticoagulants and blood substitutes. '' (excerpted from the Preface).
Book Synopsis One-Dimensional Digital Signal Processing by : Chi-Tsong Chen
Download or read book One-Dimensional Digital Signal Processing written by Chi-Tsong Chen and published by CRC Press. This book was released on 1979-11-01 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Processing and Display of Three-dimensional Data by : James J. Pearson
Download or read book Processing and Display of Three-dimensional Data written by James J. Pearson and published by . This book was released on 1983 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spectral Analysis of Signals by : Yanwei Wang
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.
Book Synopsis Knowledge Discovery in Big Data from Astronomy and Earth Observation by : Petr Skoda
Download or read book Knowledge Discovery in Big Data from Astronomy and Earth Observation written by Petr Skoda and published by Elsevier. This book was released on 2020-04-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. - Addresses both astronomy and geosciences in parallel, from a big data perspective - Includes introductory information, key principles, applications and the latest techniques - Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1466624566 Total Pages :2335 pages Book Rating :4.4/5 (666 download)
Book Synopsis Data Mining: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Data Mining: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-11-30 with total page 2335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.
Book Synopsis Random Fields for Spatial Data Modeling by : Dionissios T. Hristopulos
Download or read book Random Fields for Spatial Data Modeling written by Dionissios T. Hristopulos and published by Springer Nature. This book was released on 2020-02-17 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and statistical physics (fractals, Ising model, simulated annealing, maximum entropy, functional integral representations, perturbation and variational methods). The book also explores links between random fields, Gaussian processes and neural networks used in machine learning. Connections with applied mathematics are highlighted by means of models based on stochastic partial differential equations. An interlude on autoregressive time series provides useful lower-dimensional analogies and a connection with the classical linear harmonic oscillator. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author’s research on Spartan random fields that were inspired by statistical field theories originating in physics. The equivalence of the one-dimensional Spartan random field model with the classical, linear, damped harmonic oscillator driven by white noise is highlighted. Ideas with potentially significant computational gains for the processing of big spatial data are presented and discussed. The final chapter concludes with a description of the Karhunen-Loève expansion of the Spartan model. The book will appeal to engineers, physicists, and geoscientists whose research involves spatial models or spatial data analysis. Anyone with background in probability and statistics can read at least parts of the book. Some chapters will be easier to understand by readers familiar with differential equations and Fourier transforms.
