Signal and Noise in Geosciences: MATLAB® Recipes for Data Acquisition in Earth Sciences

Author:   Martin H. Trauth
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030749125


Pages:   340
Publication Date:   07 November 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Signal and Noise in Geosciences: MATLAB® Recipes for Data Acquisition in Earth Sciences


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Author:   Martin H. Trauth
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.776kg
ISBN:  

9783030749125


ISBN 10:   3030749126
Pages:   340
Publication Date:   07 November 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data Acquisition in Earth Sciences.- Introduction to MATLAB.- MATLAB Programming.- Geometric Properties.- Visible Light Images.- Spectral Imaging.- Acquisition of Elastic Signals.- Gravimetric, Magnetic and Weather Data.

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Martin H. Trauth studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree from the University of Kiel in 1995 and then became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003 he became a lecturer, and then in 2011 a titular professor at the University of Potsdam. Since 1990 he has worked on various aspects of past changes in the climates of East Africa and South America. His projects have aimed to understand the role of the tropics in terminating ice ages, the relationship between climatic changes and human evolution, and the influence that climate anomalies had on mass movements in the central Andes. Each of these projects has involved the use of MATLAB to apply numerical and statistical methods (such as time-series analysis and signal processing) to paleoclimate time series, lake-balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, and the processing of satellite and microscope images. Martin H. Trauth has been teaching a variety of courses on data analysis in earth sciences with MATLAB for more than 25 years, both at the University of Potsdam and other universities around the world.

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