In the sliding window method, the output for each input sample is the median of the current sample and theLen- 1 previous samples.Lenis the length of the window in samples. To compute the firstLen- 1 outputs, when the window does not have enough data yet, the algorithm fills the window with zeros. As an example, to compute the median value when the second input sample comes in, the algorithm fills the window withLen- 2 zeros. The data vector,x, is then the two data samples followed byLen- 2 zeros. This object performs median filtering on the input data over time.

Consider an example of computing the moving median of a streaming input data using the sliding window method. The algorithm uses a window length of 4. With each input sample that comes in, the window of length 4 moves along the data.