Filters

Mean and median filters Algorithms for smooth images.

Kalman filter for estimate the state of a dynamic linear system from a series of noisy measurements.

Wiener filter for produce an estimate of a desired random signal from a noisy signal.

Fourier filter for transform a signal from the time domain to the frequency domain, allowing for the analysis of the signal’s frequency components.

These are just a few examples of filtering algorithms. The choice of algorithm depends on the type of data or signals being processed and the goal of the filtering process.