MATLAB codes for generating dispersion images for ground exploration using different multichannel analysis of surface wave transforms

A set of codes has been developed in MATLAB for generating multimodal dispersion images by using three different transformation techniques. While performing the multichannel analysis of surface waves (MASW), the field data obtained by using multiple geophones, in the distance and time domain, become the required input data for these developed programs. The dispersion images have been evaluated by generating synthetic data and performing field tests using a 20 lb hammer at two different chosen sites with 48 geophones. The dispersion plots from the three different transformation techniques are found to match each other closely. In general, the circular frequency-phase velocity ([Formula: see text]- c) transform provides the best clarity. An increase in the spread length, however, without increasing the number of sensors, often leads to the appearance of aliased modes in the dispersion images.