An 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.

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.

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 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.

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

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.

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.

Spectral Analysis

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Author : Peter Tate
language : en
Publisher:
Release Date : 2022-05-11

Spectral Analysis written by Peter Tate and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with categories.

Spectral analysis is a data analysis tool that lends itself well to examining signals that contain regular, repeating patterns. This book outlines the theory behind, and examples for, a range of spectral analysis techniques including: auto spectral analysis, cross spectral analysis, rotary spectra, harmonic analysis, the short time Fourier transform and the Morlet wavelet. It is a commonly used tool in physical oceanography, but also has applications in other sciences. This book is intended as a resource tool for those starting out their journey into spectral analysis. Not every aspect of spectral analysis is covered. Many examples are included that demonstrate the technique being considered. The focus here is on time series analysis, although there are some examples that use data from a spatial array of instruments. Fourier theory underpins much of spectral analysis and it is from there that the theoretical development commences. Hence, there is a considerable amount of mathematics for those that are inclined to understand the origin of the different techniques and how they are developed. Much of the early sections in this book discuss the work that needs to be undertaken and questions that need to be asked before implementing spectral analysis. Some of this preliminary work involves designing data collection experiments, patching data gaps, filtering the data (removing trends and known signals), testing for stationarity and the generation of confidence limits surrounding the results. A number of tips and tricks that the authors have learnt over many years of using spectral analysis are detailed. Some of these are in the form of tacit questions that are not clearly addressed in many similar books. The book concludes with two appendices: one detailing the implementation of the 'radix-2' Fast Fourier Transform (perhaps the most popular method to attack spectral analysis) and the second detailing principal component analysis (a way in which we can reduce the number of spectral analyses that need to be undertaken).