Tracking Analysis of Maximum Versoria Criterion Based Adaptive Filter
Azam Khalili,
Amir Rastegarnia,
Ali Farzamnia
et al.
Abstract:Recently, maximum Versoria criterion-based adaptive algorithms have been introduced as a new solution for robust adaptive filtering. This paper studies the steady-state tracking analysis of an adaptive filter with maximum Versoria criterion (MVC) in a non-stationary (Markov time-varying) system. Our analysis relies on the energy conservation method. Both Gaussian and general non-Gaussian noise are considered, and for both cases, the closed-form expression for steady-state excess mean square error (EMSE) is der… Show more
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