The second MATLAB/LEGO MINDSTORMS exercise is intended to help students to understand how to control motors and to read sensors such as the sonic sensor using MATLAB. Continue reading “Controlling Motors and Read Sensors of LEGO MINDSTORMS with MATLAB”
Today, geoinformatics master student Jonas Räsch and I started to design the first MATLAB/LEGO MINDSTORMS exercises for our MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab. Continue reading “Communicating with the LEGO MINDSTORMS EV3 Brick using MATLAB”
Time series of stable isotopes (oxygen, carbon) measured at foraminifers are often very noisy due to the combined effect of low sedimentation rates, intensive bioturbation and small sample sizes (5-20 foraminifers). Adaptive filters may help to increase the signal-to-noise ratio of such time series where conventional methods such as fixed fitters cannot be applied if optimal filtering is to be achieved, because the signal-to-noise ratio is unknown and varies with time. Continue reading “Adaptive Filters in Paleoclimatology: Measure it Twice!”
After having talked to MathWorks Support I managed to display the cone of influence coi together with the wavelet transform wt. The cone of influence marks the area were edge effects occur in the continuous 1D wavelet transform.
Continue reading “Calculating the Continuous 1-D Wavelet Transform with the new Function cwt, Part 2”
Bioturbation (or benthic mixing) causes significant distortions in marine stable isotope signals and other palaeoceanographic records. My doctoral project at the University of Kiel between 1992-1995 aimed to model, to quantify and deconvolve the effect of bioturbation in deep-sea sediments. Continue reading “MATLAB-Based Simulation of Bioturbation, Part 1”
Tomorrow the 41st shortcourse on MATLAB Recipes for Earth Sciences will begin with 29 participants from 12 different research institutions and universities. It is the first of the two spring courses at the University of Potsdam. Continue reading “41st Shortcourse On MRES”