Non-linear filters Non-linear filters An adaptive filter is a digital filter that performs digital signal processing and can adapt its performance based on the input signal. By way of contrast, a non-adaptive filter has static filter coefficients (which collectively form the transfer function). ...more on Wikipedia about "Adaptive filter"
The Kalman filter is an efficient recursive filter which estimates the state of a dynamic system from a series of incomplete and noisy measurements. An example of an application would be to provide accurate continuously-updated information about the position and velocity of an object given only a sequence of observations about its position, each of which includes some error. It is used in a wide range of engineering applications from radar to computer vision. Kalman filtering is an important topic in control theory and control systems engineering. ...more on Wikipedia about "Kalman filter"
In image processing it is usually necessary to perform some degree of noise reduction in an image before performing higher-level processing steps, such as edge detection. The median filter is a non-linear digital filtering technique, often used to remove noise from images or other signals. The idea is to examine a sample of the input and decide if it is representative of the signal. This is performed using a window consisting of an odd number of samples. The values in the window are sorted into numerical order; the median value, the sample in the center of the window, is selected as the output. The oldest sample is discarded, a new sample acquired, and the calculation repeats. ...more on Wikipedia about "Median filter"
(Voltage-controlled filter) :VCF can also mean a "vapor cloud fire". ...more on Wikipedia about "Voltage-controlled filter"
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