Multiscale median filtering

Input mapping methods can be divided into univariate, multivariate, and probabalistic methods. Univariate methods analyze the inputs by extracting the relationship between the measurements. These methods include various types of single-scale and multiscale filtering such as exponential smoothing, wavelet thresholding, and median filtering. Multivariate methods analyze... 

As in the case of any filtering or compression method, multiscale filtering relies on some information about the data and the nature of the errors to tune its filter parameters, which include the threshold, decomposition depth, the wavelet filter, and the size of the median filter for the robust techniques. Hints for selecting these tuning parameters in off-line and on-line modes are discussed below. 

Nonlinear filtering techniques have been developed to overcome the inability of linear filters to capture features at different scales. Nonlinear filtering methods include FIR-Median Hybrid filtering and multiscale filtering, and... 

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