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References Barash D. (2002). A fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation, IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (6): 844-847. Barner K., Sarham A. and Hadie R. (1999). Partition-based weighted sum filters for image restoration, IEEE Transactions on Image Procedings 8 (5): 740-745. Barner K.E. and Arce G.R. (2004). Nonlinear Signal and Image Processing: Theory, Methods, and Applications , CRC Press, Boca Raton, FL. Buades A., Coll B. and Morel J. (2005). A review of

REFERENCE 1. W. Chau-Chang, C. Min-Shine: Nonmetric Camera Calibration for Underwater Laser Scanning System. IEEE Journal of Oceanic Engineering, vol. 05, 32(2), (2007), 383-399. 2. S. Ferrari, I Frosio, V. Piuri, N.A Borghese: Enhanced vector quantization for data reduction and filtering. Proceedings of 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT, (2004), 470–477. 3. S. Gernhardt, X. Cong, M. Eineder, S. Hinz, R. Bamler: Geometrical fusion of multitrack ps point clouds, IEEE Geoscience and Remote Sensing Letters, vol

. 377-387. 7. Chen, G., Y. Shen. Robust H ∞ Filter Design for Neutral Stochastic Uncertain Systems with Time-Varying Delay. – Journal of Mathematical Analysis and Applications, Vol. 353 , 2009, No 1, pp. 196-204. 8. Liu, Y., Z. Wang, W. Wang. Reliable H ∞ Filtering for Discrete Time-Delay Systems with Randomly Occurred Nonlinearities via Delay Partitioning Method. – Signal Processing, Vol. 91 , 2011, No 4, pp. 713-727. 9. Zhang, D., L. Yu. H ∞ Filtering for Linear Neutral Systems with Mixed Time-Varying Delays and Nonlinear Perturbations. – Journal of the

References Szodenyi, A. (2004) Optical filter type influence on transparent WDM network's size. Hiradastechnika , (12), 55-58. Venghaus, H. (2006). Wavelength Filters in Fibre Optics. Berlin: Springer, 454. Azadeh, M. (2009). Fiber Optics Engineering. New York: Springer, 374. Agrawal, G. (2001). Nonlinear Fiber Optics (3 rd ed-n). London: Academic Press, 466. Ozoliņš, O., & Ivanovs, G. (2010). Evaluation of Band-Pass Filters Influence on NRZ Signal in HDWDM Systems. Lithuanian Journal of Electronics and Electrical Engineering.   4(100) 65-68. Cisco

Estimation in Wireless OFDM Systems with Irregular Pilot Distribution”, IEEE Transactions on signal processing vol. 58, no. 6, pp. 3180–3194, 2010. [10] L. Candillier, F. Meyer, and M. Boull, “Comparing State-of-the-Art Collaborative Filtering Systems”, Proceedings of the 5th international conference on Machine Learning Data Mining in Pattern Recognition Leipzig, Germany, pp. 548–562, July 2007. [11] G. Linden, B. Smith, and J. York, “Amazon.com Recommendations: Item-To-Item Collaborative Filtering”, IEEE Internet Computing vol. 7, no. 1, pp. 76-80, 2003. [12] X. Su

References [1] Arulampalam S., Gordon N., Ristic B., Beyond the Kalman Filter. Particie Fliters for tracking applications, Artech House, London 2004. [2] Cappe O., Douc R., Moulines E., Comparison of resampling schemes for particle filtering, 4th International Symposium on Image and Signal Processing and Anlysis, 2005. [3] Doucet A., de Freitas N., Van der Merwe R., Wan E. A., The unscented particle filter, Cambridge University Engineering Department, Cambridge 2000. [4] Doucet A., Gordon N. J., Krishnamurthy V., Particle Filters for State Estimation of Jump

References Andersen, B. D. O., Moore, J. B. (1979). „Filtracja optymalna.” WNT , Warszawa, 1984. (oryg. Andersen B.D.O., Moore J. B. „Optimal filtering” Prentice-Hall Inc., Englewood Cliffs , New Jersey, USA, 1979). Candy, J. V. (1987). „Signal Processing–The Model-Based Approch” McGraw-Hill, Singapore. Christian, K. (2000). „Improvements of GNSS Receiver Performance Using Deeply Coupled INS measurements.” ION GPS . Grejner-Brzezinska, D. A., Toth C. K., and Yi Y. (2005) „On Improving Navigation Accuracy of GPS/INS Systems.” Photogrammetric Engineering and

References Baras, J.S., Blankenship, G.L. and Hopkins, Jr., W.E. (1983). Existence, uniqueness, and asymptotic behavior of solutions to a class of Zakai equations with unbounded coefficients, IEEE Transactions on Automatic Control 28(2): 203-214. Bhatt, A.G., Kallianpur, G. and Karandikar, R.L. (1995). Uniqueness and robustness of solution of measure-valued equations of nonlinear filtering, The Annals of Probability 23(4): 1895-1938. Brémaud, P. (1981). Point Processes and Queues. Martingale Dynamics , Springer-Verlag, New York, NY. Calzolari, A

Possible Extensions. - IEEE Transactions on Knowledge and Data Engineering, Vol. 17, 2005, No 6, 734-749. 5. Bezerra, B. L. D., F. A. T. Carvalho. A Symbolic Approach for Content-Based Information Filtering. - Information Processing Letters, Vol. 92, 2004, No 1, 45-52. 6. Balabanović, M., Y. Shoham. Fab: Content-Based, Collaborative Recommendation. - Communications of the ACM, Vol. 40, 1999, No 3, 66-72. 7. Resnick, P., N. Iakovou, M. Suchak, P. Bergstro m, J. Ried l. Group Lens: An Open Architecture for Collaborative Filtering of Netnews. - In: Proceedings of the 1994

kinematic CHAMP orbits, Earth Observation with CHAMP - Results from Three Years in Orbit (Ed. Reigber Ch, Lühr H, Schwintzer P et al.), Springer, Berlin, 13-18, 2004. [5] P.S. Maybeck, Stochastic Models, Estimation, and Control. Volume 1, Academic Press, Inc, 1979. [4] M. Hanke, O. Scherzer, Inverse problems light: numerical differentiation. Amer. Math. Monthly, 108 (2001) 512-5211. [6] A. Gelb, Applied Optimal Estimation. MIT Press, Cambridge, MA, 1974. [7] R.G. Brown, P.Y.C Hwang, Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises and