Translations:Wavelets - Chapter 9/5/en

The purpose of digital seismic processing is to transform raw data into computer-generated images of the subsurface. Each computer-processing method is based on a specific model that is used to explain the propagation of seismic waves. One of the most popular models is the convolutional model, which appears in one form or another in most seismic-processing and interpretation methods. The convolutional model consists of three components: the input signal, the unit-impulse response function, and the output signal. The output signal is equal to the convolution of the input signal with the unit-impulse response function (Szaraniec, 1985).