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Estimation of the noise variance in time series using a median filter

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Języki publikacji
EN
Abstrakty
EN
Information about the level of signal interference, allows you to select the appropriate method pre-processing information. Assuming that the disturbance is a process additive, a normal distribution can do this using the smoothing filters, and in particular the median filter. This paper presents a method of estimating the level of disturbance, based on median filtration and the assumption that the smoothing process applies to noise, exclusively. The knowledge of a noise reduction coefficient enables the determining of an estimated quantity.
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Rocznik
Tom
Strony
316--323
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Twórcy
  • West Pomeranian University of Technology 71-126 Szczecin, ul. 26 Kwietnia 10
  • West Pomeranian University of Technology 71-126 Szczecin, ul. 26 Kwietnia 10
Bibliografia
  • [1] L. Ljung, System identification theory for User. Prentice-Hall, Englewood CliPs, NJ, 1987.
  • [2] H. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1985.
  • [3] P.G. Ferrario, Local Variance Estimation for Uncensored and Censored Observations, Springer Vieweg, 2013.
  • [4] S.K. Mitra, J.F.Kaiser, Handbook Digital Signal Processing, John Willey 1993.
  • [5] A. Jones, "New tools in non-linear modelling and prediction," Computational Management Science, vol. 1, no. 2, pp. 109-149, Jul. 2004.
  • [6] M. Neumann, "Fully data-driven nonparametric variance estimators" Statistics, vol. 25, pp. 189-212, 1994.
  • [7] J. Kowalski,J. Peksinski, G. Mikolajczak, "Detection of noise in digital images by using the averaging filter name COV" Intelligent Information and Database Systems 5th Asian Conference, ACIIDS 2013, Proceedings, Pt. 2 eds.: Ali Selamat, Ngoc Thanh Nguyen, Habibollah Haron Berlin [i in.] : Springer, pp. 1-8 2013.
  • [8] H. Pi and C. Peterson, "Finding the embedding dimension and variable dependencies in time series, Neural Computation, vol. 6, no. 3, pp.509-520, 1994.
  • [9] E. Eirola, E. Liiti¨ainen, A. Lendasse, F. Corona, and M. Verleysen, "Using the delta test for variable selection," in ESANN 2008, European Symposium on Artificial Neural Networks, Bruges (Belgium), pp. 25-30 2008.
  • [10] J. Peksinski, M. Stefanowski, G. Mikolajczak, Estimating the level of noise in digital images. Intelligent multimedia technologies for networking applications: techniques and tools ed. Dimitris N. Kanellopoulos Information Science Reference, pp. 409-433, 2013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-22c2a376-2d4a-46ff-abbd-ab9567535f39
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