Introduction To Spectral Analysis
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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.
Spectral Analysis Of Signals
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Author : Petre Stoica
language : en
Publisher: Prentice Hall
Release Date : 2005
Spectral Analysis Of Signals written by Petre Stoica and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.
Designed for introductory courses on Spectral Analysis at the graduate or advanced undergraduate level for students, researchers, and practitioners in the area of Signal Processing, this text is an expanded edition of "Introduction to Spectral Analysis". It includes nonparametric spectrum analysis, parametric spectral analysis and parametric met.
An Introduction To Spectral Analysis
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Author : John N. Rayner
language : en
Publisher:
Release Date : 1971
An Introduction To Spectral Analysis written by John N. Rayner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.
An Introduction To Spectral Analysis By J N Rayner
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Author : J. N. Rayner
language : en
Publisher:
Release Date : 1971
An Introduction To Spectral Analysis By J N Rayner written by J. N. Rayner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Fourier transformations categories.
An Introduction To Random Vibrations And Spectral Analysis
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Author : David Edward Newland
language : en
Publisher:
Release Date : 1975
An Introduction To Random Vibrations And Spectral Analysis written by David Edward Newland and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematics categories.
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.
Spectral Analysis For Physical Applications
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Author : Donald B. Percival
language : en
Publisher: Cambridge University Press
Release Date : 1993-06-03
Spectral Analysis For Physical Applications written by Donald B. Percival and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-06-03 with Mathematics categories.
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.
An Introduction To Random Vibrations Spectral Wavelet Analysis
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Author : D. E. Newland
language : en
Publisher: Courier Corporation
Release Date : 2005-07-26
An Introduction To Random Vibrations Spectral Wavelet Analysis written by D. E. Newland and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-26 with Science categories.
One of the first engineering books to cover wavelet analysis, this classic text describes and illustrates basic theory, with a detailed explanation of the workings of discrete wavelet transforms. Computer algorithms are explained and supported by examples and a set of problems, and an appendix lists ten computer programs for calculating and displaying wavelet transforms. Starting with an introduction to probability distributions and averages, the text examines joint probability distributions, ensemble averages, and correlation; Fourier analysis; spectral density and excitation response relations for linear systems; transmission of random vibration; statistics of narrow band processes; and accuracy of measurements. Discussions of digital spectral analysis cover discrete Fourier transforms as well as windows and smoothing. Additional topics include the fast Fourier transform; pseudo-random processes; multidimensional spectral analysis; response of continuous linear systems to stationary random excitation; and discrete wavelet analysis. Numerous diagrams and graphs clarify the text, and complicated mathematics are simplified whenever possible. This volume is suitable for upper-level undergraduates and graduate students in engineering and the applied sciences; it is also an important resource for professionals.
An Introduction To Random Vibrations And Spectral Analysis
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Author : D. E. Newland
language : en
Publisher:
Release Date : 1981
An Introduction To Random Vibrations And Spectral Analysis written by D. E. Newland 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.
An Introduction To The Study Of Spectrum Analysis
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Author : William Marshall Watts
language : en
Publisher:
Release Date : 1904
An Introduction To The Study Of Spectrum Analysis written by William Marshall Watts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1904 with Spectrum analysis categories.
The Spectral Analysis Of Time Series
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Author : Lambert H. Koopmans
language : en
Publisher: Elsevier
Release Date : 1995-05-18
The Spectral Analysis Of Time Series written by Lambert H. Koopmans and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-05-18 with Mathematics categories.
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results.The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications.Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction. - Hilbert spaces - univariate models for spectral analysis - multivariate spectral models - sampling, aliasing, and discrete-time models - real-time filtering - digital filters - linear filters - distribution theory - sampling properties of spectral estimates - linear prediction