Signal processing is a technological field concerned with the analysis, modification, and extraction of useful information from signals. Signals, which represent measurable physical phenomena—such as electrical voltages, acoustic waves, or electromagnetic radiation—must often be processed because they are corrupted by noise or contain unwanted components. Core techniques involve mathematical transformations, filtering, and spectral analysis to isolate the desired signal characteristics. Applications are pervasive across various disciplines, including communications, where signals are transmitted over vast distances, and in medical technology, where raw sensor data is refined for accurate diagnosis. The goal of the discipline is to transform raw, complex data into structured, actionable, and reliable information.