Adaptive filters

Adaptive filters are dynamic systems that automatically adjust their parameters to optimize performance, often in real-time. Think of them as intelligent tools that learn from incoming data to reduce noise or interference in signals, such as audio or communication signals. They analyze differences between their output and a desired result, then modify their settings to improve accuracy continuously. This adaptability makes them valuable in various applications, including noise cancellation, echo reduction, and data prediction, allowing systems to maintain optimal operation even when conditions change unexpectedly.