  In this paper, a novel form of Gaussian filter, the Mittag-Leffler filter, is
presented. This new filter uses a Mittag-Leffler function in the probability
density function. Such Mittag-Leffler distribution is used in the convolution
kernel of the filter. The filter has three parameters that may adjust the curve
shape due to the filter forgetting factor. Illustrative examples present the
main advantages of the proposed filter as compared to classical Gaussian
filtering techniques. Some implementation notes, together with the Matlab
function, are also presented.
