Adaptive Filters
Adaptive filters are a type of digital filter that can adjust their parameters to changing input signals or environments. They are widely used in space and astronautical engineering for various applications such as signal processing, control systems, and communication systems. Adaptive filters can improve the performance of a system by reducing noise, interference, and distortion in the input signal. They can also track changes in the input signal and adjust their parameters accordingly, making them suitable for applications where the input signal is time-varying or unpredictable. Adaptive filters can be implemented using various algorithms such as the least mean squares (LMS) algorithm, recursive least squares (RLS) algorithm, and Kalman filter. These algorithms use mathematical techniques to estimate the optimal filter parameters based on the input signal and the desired output signal.
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