This on line course does not constitute a complete course in itself; referral to the basic signal processing texts remains essential.

The reader is invited to look at the book "Signal processing for geologists and geophysicists", written by Jean-Luc Mari, François Glangeaud and Françoise Coppens, in 1999.

This on line course presents a succession of lessons classed by theme. The different subjects that are tackled are:

- The Fourier Transformation
- Common functions in spectral analysis
- Sampling
- Correlation
- Wave separation
- Seismic applications
- The Hilbert transformation
- Filtering
- Near Surface Geophysics
- Stochastic Signal Processing
- Attributes

Each theme has an introduction and a series of lessons which are associated with it. A lesson comprises of text, a video, a formulary, if judged necessary.

- The text present has been voluntarily reduced; its objective is put across by the animation. This objective may be the presentation of a specific transform used in signal processing and applied in seismic processing. The term << transform >> is used here in a very general sense. It covers at times the notion of transformation, such as the Fourier transformation or filters such as the Wiener filter. The objective perhaps being to show the application of a << transform >> on simulated synthetic data or on real acquired geophysical data.
- The video is an illustration of the text. It permits a visualization of the data, to study the influence of processing parameters on the data. The images were conceived in a manner which permits an immediate visual comparison and that enables an evaluation of the influence of a parameter change on the data processing.
- The formulary gives the mathematical formula used in the animation. The reader is invited to use the book cited above as a reference for the notations used and the demonstrations. The formulary should be considered as a simple memory aid.

The videos have been created thanks to the MUSTIG software (mustig.free.fr, Gérard Lejeune).

For the animations based on field data measurement, the authors or organisms that provide with them are mentioned.