Signal Processing in Geosciences
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# Signal Processing in Geosciences

• ·

Written in English

### Subjects:

• Earth Sciences - Geology,
• Science,
• Science/Mathematics

## Book details:

The Physical Object
FormatHardcover
ID Numbers
Open LibraryOL12525788M
ISBN 102710807688
ISBN 109782710807681

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful. Dr. Jocelyn Chanussot is a Professor in the Signal and Images Department at Grenoble. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis.   Non-Standard Sampling. Using the properties of the Fourier series can ease finding a signal's spectrum. Suppose a signal s(t) is periodic with period c k represents the signal's Fourier series coefficients, what are the Fourier series coefficients of $s\left (t-\frac{T}{2} \right)$; Find the Fourier series of the signal p(t) shown in the Fig. Wavelet transform has becoming an important and useful signal processing tool in geophysics, it has been used for causative sources characterization from potential gravity and magnetic field [1.