Title :
Ll-filters-a new class of order statistic filters
Author :
Palmieri, Francesco ; Boncelet, Charles G., Jr.
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
fDate :
5/1/1989 12:00:00 AM
Abstract :
The Ll-filters are introduced to generate the order statistic filters (L-filters) and the nonrecursive linear, or finite-duration impulse-response (FIR), filters. Such estimators are particularly effective filtering signals that do not necessarily follow Gaussian distributions. They can be designed to restore one-dimensional or multidimensional signals corrupted by noise of impulsive type. Such filters are appealing since they are suitable for being made robust against the presence of spurious outliers in the data.<>
Keywords :
digital filters; ferromagnetic-paramagnetic transitions; Ll-filters; filtering signals; finite-duration impulse-response; impulsive noise; multidimensional signals; nonrecursive linear filters, FIT filters; order statistic filters; Filtering; Finite impulse response filter; Gaussian distribution; Gaussian noise; Image restoration; Mean square error methods; Nonlinear filters; Signal restoration; Statistical distributions; Statistics;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
