Aydın, GülTanrıkulu, O.Çetin, A. Enis2016-02-082016-02-0819970271-4310http://hdl.handle.net/11693/27713Date of Conference: 9-12 June 1997Conference Name: 1997 IEEE International Symposium on Circuits and SystemsBased on the concept of Fractional Lower Order Statistics (FLOS), we present the Robust Least Mean Mixed Norm (RLMMN) adaptive algorithm for applications in impulsive environments modeled by α-stable distributions. A sufficient condition for finite variance of the update term is obtained for the underlying α-stable process. Simulation results are provided regarding the identification of the parameters of an AR system.EnglishAdaptive algorithmsMathematical modelsProbabilityRandom processesSpurious signal noiseRobust least mean mixed norm adaptive algorithmRobust least mean mixed norm adaptive filteringAdaptive filteringRobust least mean mixed norm adaptive filtering for α-stable random processesConference Paper10.1109/ISCAS.1997.612781