Pilancı, MertArıkan, OrhanOǧuz, B.Pınar, Mustafa Ç.2016-02-082016-02-082009http://hdl.handle.net/11693/28717Date of Conference: 9-11 April 2009Conference Name: IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009In many inverse problems of signal processing the problem reduces to a linear system of equations. Accurate and robust estimation of the solution with errors in both measurement vector and coefficient matrix is a challenging task. In this paper a novel formulation is proposed which takes into account the structure (e.g. Toeplitz, Hankel) and uncertainties of the system. A numerical algorithm is provided to obtain the solution. The proposed technique and other methods are compared in a channel equalization example which is a fundamental necessity in communication.TurkishChannel equalizationCoefficient matrixLinear system of equationsNovel techniquesNumerical algorithmsRobust estimationDifferential equationsInverse problemsLinear systemsSignal processingConference Paper10.1109/SIU.2009.5136554