Noise models

Noise models describe how random variations or disturbances affect data or signals during measurement or transmission. They help us understand, predict, and manage errors caused by unpredictable factors like environmental conditions, imperfections in equipment, or interference. Essentially, a noise model provides a mathematical framework that characterizes these uncertainties, allowing engineers and scientists to design systems that are more robust and accurate despite the presence of noise. By understanding noise models, we can improve data quality, enhance communication reliability, and develop better error correction methods.