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Understanding signals : basic waveform analysis from a geophysical perspective

Title
Understanding signals : basic waveform analysis from a geophysical perspective / Michael Burianyk.
ISBN
9781560803584
1560803584
1560803576
9781560803577
Publication
Tulsa, OK : Society of Exploration Geophysicists, 2019.
Physical Description
1 online resource (viii, 86 pages)
Local Notes
Access is available to the Yale community.
Notes
Includes index.
Access and use
Access restricted by licensing agreement.
Summary
Written for students as well as professionals who work with and support geophysicists, this book presents a simple and informal discussion of fundamental concepts which underlie the quantitative part of geophysical analysis and interpretation. These general concepts are applicable for an analytical approach to any phenomena that can be measured and recorded. With examples and figures created using Microsoft Excel®, this book is accessible and insightful. Topics covered include: the concept of signals based on the sine function; the summation of sine waves as a more complicated signal; the notion of Fourier series and the spectral representation of signals; digital sampling and discrete representation of signals; the discrete Fourier transform and inverse transform; the concept of filtering in the spectral domain; and the idea of filtering outside of the spectral domain, by convolution, and the relationship between the measurement and spectral domains. This book will be valuable for geologists, junior seismic interpreters, software developers, high school and university students, and geophysical professionals seeking a refresher of the basic concepts.
Variant and related titles
Basic waveform analysis from a geophysical perspective
Knovel. OCLC KB.
Other formats
Print version: Burianyk, Michael. Understanding signals. Tulsa, OK : Society of Exploration Geophysicists, 2019
Format
Books / Online
Language
English
Added to Catalog
April 30, 2024
Series
Geophysical monograph series ; no. 23.
Geophysical monograph series ; number 23
Contents
What is a signal?
A simple signal
The sine function
A less simple signal
Fourier analysis
Digital signals
Discrete Fourier transform
Digital filtering
Signals and noise
Noise and filters
a practical example
Convolution in the measurement domain
Final thoughts
Appendix. Signal analysis with Excel.
Citation

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