Accession Number : ADA193319
Title : Outliner Resistant Filtering and Smoothing. 2D Version.
Descriptive Note : Technical rept. 2 Jul 87-30 Jun 88,
Corporate Author : VIRGINIA UNIV CHARLOTTESVILLE DEPT OF MATERIALS SCIENCE
Personal Author(s) : Papantoni-Kazakos, P ; Tsaknakis, Haralampos
PDF Url : ADA193319
Report Date : 04 Feb 1988
Pagination or Media Count : 51
Abstract : Consider a stationary Gaussian information process transmitted through an additive noise channel. The noise and information processes are mutually independent, and the noise process modeled as nominally Gaussian with additive outliers. For the above system model a theory is developed for outliers resistant filtering and smoothing operations. We then design specific such nonlinear operations, and we study their performance. The performance criteria are the asymptotic mean squared error at the Gaussian nominal model, the breakdown point, and the influence function. The proposed operations combine excellent performance at the nominal model with strong resistance to outliers.
Descriptors : *ACOUSTIC FILTERS, *KALMAN FILTERING, CHANNELS, INFORMATION PROCESSING, MODELS, NOISE, NONLINEAR SYSTEMS, RESISTANCE, STATIONARY, PROBABILITY DISTRIBUTION FUNCTIONS, RECURSIVE FILTERS
Subject Categories : Acoustooptic and Optoacoustic Devices
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE