Time frequency Analysis of Seismic Signals

This book PDF is perfect for those who love Science genre, written by Yanghua Wang and published by John Wiley & Sons which was released on 03 October 2022 with total hardcover pages 245. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Time frequency Analysis of Seismic Signals books below.

Time frequency Analysis of Seismic Signals
Author : Yanghua Wang
File Size : 46,7 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 03 October 2022
ISBN : 9781119892342
Pages : 245 pages
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Time frequency Analysis of Seismic Signals by Yanghua Wang Book PDF Summary

A practical and insightful discussion of time-frequency analysis methods and technologies Time–frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of geologic depth. Therefore, the time–frequency spectrum is composed of the frequency spectra that are generated by using the classic Fourier transform at different time positions. Different time–frequency analysis methods are distinguished in the construction of the local kernel prior to using the Fourier transform. Based on the difference in constructing the Fourier transform kernel, this book categorises time–frequency analysis methods into two groups: Gabor transform-type methods and energy density distribution methods. This book systematically presents time–frequency analysis methods, including technologies which have not been previously discussed in print or in which the author has been instrumental in developing. In the presentation of each method, the fundamental theory and mathematical concepts are summarised, with an emphasis on the engineering aspects. This book also provides a practical guide to geophysicists who attempt to generate geophysically meaningful time–frequency spectra, who attempt to process seismic data with time-dependent operations for the fidelity of nonstationary signals, and who attempt to exploit the time–frequency space seismic attributes for quantitative characterisation of hydrocarbon reservoirs.

Time frequency Analysis of Seismic Signals

A practical and insightful discussion of time-frequency analysis methods and technologies Time–frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of

Get Book
Time frequency Analysis of Seismic Signals

A practical and insightful discussion of time-frequency analysis methods and technologies Time–frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of

Get Book
Geophysical Signal Analysis

Addresses the construction, analysis, and interpretation of mathematical and statistical models. The practical use of the concepts and techniques developed is illustrated by numerous applications. The chosen examples will interest many readers, including those engaged in digital signal analysis in disciplines other than geophysics.

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Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (

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Advances in Energy  Environment and Chemical Engineering Volume 1

Advances in Energy, Environment and Chemical Engineering collects papers resulting from the conference on Energy, Environment and Chemical Engineering (AEECE 2022), Dali, China, 24-26 June, 2022. The primary goal is to promote research and developmental activities in energy technology, environment engineering and chemical engineering. Moreover, it aims to promote scientific information interchange

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Applications in Time Frequency Signal Processing

Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals

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Elements of Seismic Dispersion

Demonstrates how spectral decomposition and time-frequency methods have led to improved understanding and use of nonlinear harmonics, near-surface guided waves, layer-induced anisotropy, velocity dispersion and attenuation, interference, and Biot reflection. The discussion includes examples, figures, and literature references for further study.

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Physical Applications of Stationary Time series with Special Reference to Digital Data Processing of Seismic Signals

Download or read online Physical Applications of Stationary Time series with Special Reference to Digital Data Processing of Seismic Signals written by Enders A. Robinson, published by Unknown which was released on 1980. Get Physical Applications of Stationary Time series with Special Reference to Digital Data Processing of Seismic Signals Books

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