Aydin, Gül2016-01-082016-01-081996http://hdl.handle.net/11693/17750Ankara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent University, 1996.Thesis (Master's) -- Bilkent University, 1996.Includes bibliographical references leaves 61-66.In this thesis, robust adaptive filtering algorithms are introduced for impulsive noise environments which can be modeled as o;-stable distributions and/or c-contarninated Gaussian distributions. The algorithms are devcrloped using the Fractional Lower Order Statistics concept. Robust perf()rrnance is obtained.xiv, 66 leavesEnglishinfo:eu-repo/semantics/openAccessAdaptive F'ilteringa-stable distributionsFractional Lower Order Momentse-contaminated Gaussian distributionsTK5102.9 .A93 1996Adaptive signal processing.Adaptive filters.Algorithms.Signal processing--Statistical methods.Robust adaptive filtering algorithms for impulsive noise environmentsThesis