The Convolution Theorem in Modern Analysis

In this paper, the convolution theorem is used as a fundamental tool to solve problems associated with frequency translation, amplitude modulation, sampling, and transformation of random variables. The four basic steps involved in the convolution of two functions are explained in detail using graphic techniques. It is concluded that the approach used makes possible the covering of a class of important problems at high level and in a short period of time.