Search results for: ESTYMACJA NIEPRZYCZYNOWA

• Generalized adaptive notch smoothing revisited

  Publication

  • M. Niedźwiecki

  - IEEE TRANSACTIONS ON SIGNAL PROCESSING - Year 2010

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

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• New Algorithms for Adaptive Notch Smoothing

  Publication

  • M. Niedźwiecki
  • M. Meller

  - IEEE TRANSACTIONS ON SIGNAL PROCESSING - Year 2011

  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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• On noncausal weighted least squares identification of nonstationary stochastic systems

  Publication

  • M. Niedźwiecki
  • S. Gackowski

  - 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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