Adaptive filtering is a technique used in signal processing to automatically adjust the filter characteristics based on the input signal. This allows the filter to effectively remove unwanted noise or interference while preserving the desired signal. The filter continuously learns from the incoming data, making it suitable for dynamic environments where conditions change over time. In applications like audio processing and image enhancement, adaptive filters can improve clarity and quality. They are commonly used in telecommunications to enhance voice signals and in medical imaging to refine images for better diagnosis. This adaptability makes them valuable in various fields requiring real-time signal analysis.