Nonlinear Signal Processing

Nonlinear signal processing involves analyzing and manipulating signals where outputs are not directly proportional to inputs. Unlike linear systems, where effects are predictable and additive, nonlinear systems can produce complex behaviors such as harmonics, chaos, or distortion. This approach is useful for modeling real-world signals that exhibit intricate patterns, like speech, music, or biological signals. Techniques in nonlinear processing help improve signal clarity, extract meaningful features, or control systems that behave unpredictably, enabling advanced applications in audio enhancement, communications, and imaging.