Signal Processing Application

For this experiment, we had to select a signal processing application and collect the information related to it using published papers and patents. We formed a group of three and the application we selected was Seismic signal processing. The group members are as follows: Ankita Dhavale, Kanchan Sawant, Nivedita Petkar.

I selected the the below mentioned paper and my review is as follows:

IEEE paper review:

A geophysical survey collects data in the form of reflection seismograms (also called seismic traces) which are received at the surface of the ground due to sources (such as explosions, vibrations, thumping) activated at the surface of the ground.

Seismic Signals are statistical in nature with non-stationary character. A new technique signal processing called wavelet analysis has been employed to obtain the better resolution for the detection of thin layer and to provide improved data for stratigraphic interpretation. Wavelets are powerful signal processing tools that have found applications in a broad spectrum of geophysical signal processing and imaging. Compactly supported non orthogonal wavelets do not have phase distortion problem and provide a better choice for seismic data processing.