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Year 2011
  • Semi-adaptive feedback active control of MRI noise
    Publication

    - Year 2011

    A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a considerable rejection rate of the MRI noise can be obtained.

  • Self-optimizing narrowband interference canceller - can reference signal help?
    Publication

    SONIC (Self-Optimizing Narrowband Interference Canceller) is an acronym of the recently proposed active noise control algorithm with interesting adaptivity and robustness properties. SONIC is a purely feedback controller, capable of rejecting nonstationary sinusoidal disturbances (with time-varying amplitudes and/or frequencies) in the presence of plant (secondary path) uncertainties. We show that even though SONIC can work reliably...

  • On the instantaneous frequency smoothing for signals with quasi-linear frequency changes
    Publication

    The problem of estimation of the slowly-varying instantaneous frequency of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using frequency tracking algorithms. It is shown that the accuracy of frequency estimates can be considerably increased if the results yielded by the frequency tracker are further processed using the appropriately designed filters. The resulting frequency...

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  • On noncausal weighted least squares identification of nonstationary stochastic systems
    Publication

    - AUTOMATICA - Year 2011

    In this paper, we consider the problem of noncausal identification of nonstationary, linear stochastic systems, i.e., identification based on prerecorded input/output data. We show how several competing weighted (windowed) least squares parameter smoothers, differing in memory settings, can be combined together to yield a better and more reliable smoothing algorithm. The resulting parallel estimation scheme automatically adjusts...

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  • On noncausal identification of nonstationary stochastic systems
    Publication

    - Year 2011

    In this paper we consider the problem of noncausal identification of nonstationary,linear stochastic systems, i.e., identification based on prerecorded input/output data. We show how several competing weighted least squares parameter smoothers, differing in memory settings, can be combined together to yield a better and more reliable smoothing algorithm. The resulting parallel estimation scheme automatically adjusts its smoothing...

  • On cooperative image denoising
    Publication

    - Year 2011

    In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better and more reliable denoising algorithm. The proposed fusion mechanism allows one to combine practically all kinds of noise reduction tools. It also allows one to account for the distribution of measurement noise, and in particular - to cope with heavy-tailed...

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  • New Algorithms for Adaptive Notch Smoothing

    The problem of extraction/elimination of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using adaptive notch filtering (ANF)algorithms. It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters. The resulting adaptive notch smoothing (ANS) algorithms can be employed...

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  • Identification of quasi-periodically varying systems with quasi-linear frequency changes
    Publication

    The problem of identification of linear quasi-periodically varying systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It is shown that accuracy of system parameter estimation can be increased if the results obtained from GANF are further processed using a cascade of appropriately designed filters. The resulting generalized adaptive notch smoothing (GANS) algorithms can...

  • Badania symulacyjne regulatorów adaptacyjnych sterujących centralą klimatyzacyjną z odzyskiem ciepła
    Publication

    - Year 2011

    Opracowanie niniejsze poświęcone zostało badaniom symulacyjnym regulatorów adaptacyjnych sterujących obiektami o zmieniającym się w czasie punkcie pracy. Celem opisanych symulacji była analiza metod identyfikacji, które z racji sposobu działania szczególnie dobrze nadają się do wykrywania skokowych zmian parametrów dynamicznych obiektu.

Year 2010