Properties of IIR-OSLMS adaptive filters

  • Authors:

  • Caius Panoiu;Liviu Toma;Manuela Panoiu;Raluca Rob

  • Affiliations:

  • Polytechnic University of Timisoara, Hunedoara, Romania;Polytechnic University of Timisoara, Timisoara, Romania;Polytechnic University of Timisoara, Hunedoara, Romania;Polytechnic University of Timisoara, Hunedoara, Romania

  • Venue:
  • MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
  • Year:
  • 2008

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Abstract

One of the most common problems in using of adaptive filters is their behavior in condition of application of a high amplitude and short time pulses at the filters' input. The ALMS mean filter is an OSLMS filter, featured by a good convergence of their coefficients into optimal values, but a low stability of the prediction coefficients. Another OSLMS filter is the MLMS mean filter, featured by greater prediction coefficients stability, but a lower coefficients convergence to the optimal values. This paper studie the properties of three algorithms (gradient algorithm, SHARF algorithm and Steiglitz-Mc Bride algorithm), used to compute the IIR filters coefficients. It was studied three kind of IIR filters (IIR, Average-IIR and Median-IIR) implemented in direct form and in lattice form.