Robust Parameter and Scale Factor Estimation in Nonstationary and Impulsive Noise Environment
The problem of FIR system parameter estimation has been considered in the paper. A new robust recursive algorithm for simultaneously estimation of parameters and scale factor of prediction residuals in non-stationary environment corrupted by impulsive noise has been proposed. The performance of derived algorithm has been tested by simulations.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333638Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1322
 P. J. Huber, Robust Statistic, New York, Willey, 1981.
 Z. Banjac, B. Kovacevic, M. Veinovic, M. Milosavljevic, "Robust least mean square adaptive FIR filter algorithm", IEE Proceedings - Vision, Image, and Signal Processing, Vol.148, No.5, 2001, pp. 332-336.
 Z. Banjac, B. Kovacevic, M. Milosavljevic, M. Veinovic, "Local echo canceller with optimal input design for true full-duplex speech scrambling system", IEEE Transaction on Signal Processing; Vol.50, No.8, 2002, pp.1877-1882.
 Barnet, T. Lewis, Outliers in Statistical Data, New York, Willey, 1978
 L. Ljung, T. Soderstrom, Theory and Practice of Recursive identification, MA: MIT Press, 1983
 S. Hykin, Adaptive Filter Theory, NY, Prentice Hall, 1991
 J. Chambers, A. Avlonitis, "A Robust Mixed Norm Adaptive Filter Algorithm," IEEE Signal Processing. Letters, Vol.4, No.2, 1997, pp. 46 -48