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…: Selected publications :…

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      P. Śliwiński, A. Marconato, P. Wachel, G. Birpoutsoukis, Nonlinear system modeling based on constrained Volterra series estimates, IET Control Theory & Applications , to appear, 2017.

      P. Wachel, P. Śliwiński, Aggregative Modeling of Nonlinear Systems, IEEE Signal Processing Letters, vol. 22, No. 9, pp. 1482-1486, 2015.

      P. Śliwiński, P. Wachel, Z. Hasiewicz, On Hammerstein system nonlinearity identification algorithms based on order statistics and compactly supported functions, Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics & Statistics, Vol. 122, February 2015.

      P. Wachel, P. Śliwiński, Z. Hasiewicz, Nonparametric identification of MISO Hammerstein system from structured data, Journal of Systems Science and Systems Engineering, December 2014.

      P. Śliwiński, K. Berezowski, P. Patronik, P. Wachel, Efficiency Analysis of the Autofocusing Algorithm Based on Orthogonal Transforms, Journal of Computer and Communications, 2013

      P. Śliwiński, P. Wachel, A Simple Model for On-Sensor Phase-Detection Autofocusing Algorithm, Journal of Computer and Communications, 2013

      P. Śliwiński, P. Wachel, Application of stochastic counterpart optimization to contrast-detection autofocusing, International Conference on Advances in Computing, Communications and Informatics (ICACCI),, Mysore, India, 22-25 June 2013.

      P. Śliwiński, Z. Hasiewicz, P. Wachel, A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets, International Journal of Applied Mathematics and Computer Science, Vol. 23, No. 3., 2013.

      P. Śliwiński, Nonlinear System Identification by Haar Wavelets, Lecture Notes in Statistics, Springer-Verlag, Heidelberg Berlin, Vol. 210, 2013.

      P. Śliwiński, On-line wavelet estimation of Hammerstein system nonlinearity, International Journal of Applied Mathematics and Computer Science, Vol. 20, No. 3., 2010.

      P. Śliwiński,  Autofocusing with the help of orthogonal series transforms, International Journal of Electronics and Telecommunications, Vol. 56, No. 1, pp. 31-37, 2010.

      P. Śliwiński, J. Rozenblit, M. W. Marcellin, R. KlempousWavelet amendment of polynomial models in nonlinear system identification, IEEE Transactions on Automatic Control, Vol. 54, No. 4, pp. 820-825, 2009.

      P. Śliwiński, Z.Hasiewicz, Computational algorithms for wavelet identification of nonlinearities in Hammerstein systems with random inputs, IEEE Transactions on Signal Processing, Vol. 56, No. 2, pp. 846-851, 2008.

•      P. Śliwiński, C. Smutnicki, and A. Chorążyczewski, Image processing with JPEG2000 coders, Optical and Digital Image Processing, Proceedings of SPIE, SPIE Europe. Strasburg, 7-9 April 2008, pp. 700 001G–8G, 2008.

      Z.Hasiewicz, M. Pawlak and P. Śliwiński, Non-parametric identification of non-linearities in block-oriented complex systems by orthogonal wavelets with compact support, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 52, No. 2, pp. 427-442, 2005.

      P. Śliwiński, Z.Hasiewicz, Computational algorithms for multiscale identification of nonlinearities in Hammerstein systems with random inputs, IEEE Transactions on Signal Processing, Vol. 53, No. 1, pp. 360-364, 2005.

      P. Śliwiński, Fast algorithms for non-linearity recovering in Hammerstein systems with ordered observations, Proceedings of 10th IEEE International Conference on Methods and Models in Automation and Robotics – MMAR 2004, 30 August - 2 September 2004, 2004

      W. Greblicki, P. Śliwiński, Non-parametric identification of non-linearity in Hammerstein system, 3th IFAC Symposium on System Identification SYSID-2003,  Rotterdam, August 26-28, 2003, pp. 60.

      P. Śliwiński, Z.Hasiewicz, Computational algorithms for non-linearity identification by wavelet multiresolution analysis, Proceedings of the IASTED International Conference INTELLIGENT  SYSTEMS AND CONTROL, Salzburg, June 25-27, 2003, pp. 45-50.

      P. Śliwiński, Wavelet network for recursive function learning in: Neural Networks and Soft Computing, Proceedings 6th IEEE International Conference on Neural Networks and Soft Computing - ICNNSC 2002, June 11-15, 2002, Zakopane, Advances in Soft Computing, Physica-Verlag, Springer-Verlag Company, Heidelberg 2003, pp. 722-727.

      Z.Hasiewicz, P. Śliwiński, Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models, International Journal of Systems Science, Vol. 33, No. 14, pp. 1121-1144, 2002.

      Z.Hasiewicz, P. Śliwiński, Identification of non-linear systems by using wavelet expansions, Journal of Applied Computer Science, vol. 10, No. 1, pp. 47-66, 2002.

      W. Greblicki, P. Śliwiński, Non-linearity estimation in Hammerstein system based on ordered observations and wavelets, Proceedings of the 8th IEEE International Conference on Methods and Models in Automation and Robotics – MMAR 2002, 2-5 September 2002, vol. 1, pp. 451-456, 2002.

      P. Śliwiński, Z.Hasiewicz, Computational algorithms for wavelet-based system identification, Proceedings of the 8th IEEE International Conference on Methods and Models in Automation and Robotics – MMAR 2002, 2-5 September 2002, Szczecin, vol. 1, pp. 495-500, 2002.

      W. Greblicki, P. Śliwiński, Orthogonal series algorithms to identify Hammerstein systems, Proceedings of the 7th IEEE International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, pp. 1009-1014, 2002.

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Book (in Polish)

      Z.Hasiewicz, P. Śliwiński, Falki ortogonalne o zwartym nośniku. Zastosowanie do nieparametrycznej identyfikacji systemów, Akademicka Oficyna Wydawnicza EXIT, Warszawa 2005

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Chapter in monography (in Polish)

      P. Śliwiński, Identyfikacja systemów za pomocą falek - metody obliczeniowe, Księga Jubileuszowa ICT - Systemy sterowania, (pod redakcją W. Greblickiego i Cz. Smutnickiego), str. 111-126, Wydawnictwa Komunikacji i Łączności, Wrocław 2005. 

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Phd Thesis (in Polish)

       P. Śliwiński, Non-linear system identification by wavelets, (Postscript version) Institute of Engineering Cybernetics, Wrocław University of Technology, Tech. Report, Seria PRE 82/2000, Wrocław 2000.

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