In MATLAB R2016b, the function to calculate a continuous 1D wavelet transform has been replaced by a new function, unfortunately with the same name. Here is a great example why I think that this blog is very useful: Here I can let you know how I would modify the script of Chapter 5.8 of MRES and ask for your comments on it, long before the 5th edition of MRES will be published.
For those of you who do not already know the two Springer books, here is a summary of the books, the available editions, the electronic supplement and errata files.
The website, which went online on Friday, obviously has a lot of Chinese readers for whom this information may be interesting: there is the 3rd edition of MRES in Chinese translation! Parick Chen (陈青), Rights and Permissions Manager at the Springer Beijing Representative Office, helped us to get this published. The Chinese publisher is National Defense Industry Press, Chinese ISBN: 978-7-118-10090-7. Thanks, Parick, for your great help with this!
Some people asked me where the photo on the cover of the 4th edition of the MRES book was taken. Here is the story about it.
I am currently working on a MATLAB/LEGO® MINDSTORMS® course for undergraduate and graduate students, aiming to improve their skills to build efficient teams to solve typical problems in earth sciences in acquiring, processing and analyzing typical multispectral (visible, infrared, thermal), geophysical (seismic, magnetic) and geometric (2D, 3D) data.
The Errata File lists the known errors in the 4th edition of MATLAB Recipes for Earth Sciences (Springer 2015). The authors apologize for these errors, which were unintentional. The file is constantly updated on this webpage. Please let me know if you find any mistakes, misunderstandings in the text, or general suggestions for additions and extensions. No book is as good as its next edition!
Martin H. Trauth
I will teach two shortcourses on the MRES book in Potsdam this year. The spring courses will be held between 27 February and 3 March 2017 (in English, link to registration) and 3 and 7 April 2017 (in German, link to registration). The course introduces methods of data analysis in earth and environmental sciences using MATLAB, one of the leading software packages for the solution of mathematical problems.