Convolution operators

A convolution operator is a mathematical tool used to analyze and modify signals or images. It works by sliding a small template, called a kernel, over the input data and calculating a weighted sum at each position. This process highlights or suppresses specific features, like edges or patterns. Convolutions are fundamental in many fields, including image processing, machine learning, and signal analysis, enabling systems to detect structures, reduce noise, or extract meaningful information effectively.