OPTIMAL PARAMETER ESTIMATION OF SPATIAL-LOCAL SIGNAL FILTERING ALGORITHMS
Yu. E. Voskoboinikov1,2
1Novosibirsk State University of Architecture and Civil Engineering, Novosibirsk, Russia
2Novosibirsk State Technical University, Novosibirsk, Russia
Keywords: пространственно-локальные фильтры, ошибки фильтрации, оценивание оптимальных параметров фильтра, оценивание дисперсии шума измерения, spatial-local filters, filtering errors, estimation of optimal parameters of the filter, measurement noise variance estimation
Abstract
Spatial-local algorithms for signal and image filtering are widely used in practice because they have one or several parameters whose values significantly determine a filtering error. The choice of these parameters from the filtering error minimum condition is a known problem that has not been acceptably solved yet. A statistical algorithm is proposed that makes it possible to quite accurately estimate the optimal parameters of two spatial-local filters. An efficient algorithm for estimating the measurement noise variance is presented
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