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-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling. Proceedings of the 2005 IEEE International Conference on Robotics and Automation Barcelona, Spain, 2005, pp. 2432-2437. [8] Hartmann J., Klussendorff J., Maehle E.: A comparison of feature descriptors for visual SLAM, European Conference on Mobile Robots 2013. [9] Howard A.: Multi-robot Simultaneous Localization and Mapping using Particle Filters. Proceedings of the 2005 IEEE International Conference on Robotics and Automation. [10] Leonard J.J., Durrant-Whyte H.F.: Directed Sonar Sensing for Mobile Robot

References [1] Deinzer F., Derichs C., Niemann H., Denzler J., A Framework for Actively Selecting Viewpoints in Object Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 2009, Vol. 23, No. 4, pp. 765-799. [2] Doucet A., Johansen A. M., A tutorial on particle filtering and smoothing: Fifteen years later, Hand-book of Nonlinear Filtering, D. Crisan and B. Rozovsky eds. Oxford, UK, Oxford University Press, 2009. [3] Evennou F., Marx F., Novakov E., Map-aided indoor mobile positioning system using particle filter, Wireless

References 1. Chen Shuisheng, Sun Bingnan, “Numerical Study on Nonlinear Parametric Vibration of Coupled Cables and Bird Gedecks”, Chinese Journal of Civil Engineering, Vol.36, No.4, pp.70-75, 2003. 2. Gattulli V, Morandini M, Paolone A, “Parametric Analytical Model for Non-Linear Dynamics in Cable- Stayed Beam”, Earthquake Engineering and Structural Dynamic, Vol.31, pp.1281-1300, 2002. 3. [3] Guillaume Thirel, Peter Salamon, Peter Burek and Milan Kalas. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter

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 [1] FLUERASU, A.—JARDAK, N.—VERVISCH-PICOIS, A.— SAMAMA, N.: Gnss Repeater based Approach for Indoor Positioning: Current Status, in European Navigation Conference, Global Navigation Satellite Systems, 2009. [2] KEUNHO, Y.—DAIJIN, K.: Robust Location Tracking using a Dual Layer Particle Filter, Pervasive and Mobile Computing 3 (03 2007), 209–232. [3] SAVARESE, C.—RABAEY, J. M.—BEUTEL, J.: Location in Distributed ad-hoc Wireless Sensor Networks, in Proc. IEEE ICASSP ‘01, vol. 4, 2001, pp. 2037–2040. [4] PATWARI, N.—HERO, A. O.—PERKINS, M.—CORREAL, N

Systems (1st ed.). Society for Industrial and Applied Mathematics. [8] Doucet, A., de Freitas, N., Gordon, N. (2001).Sequential Monte Carlo Methods in Practice.Springer. [9] Douc, R., Cappé, O., Moulines, E. (2005). Comparison of resampling schemes for particle filtering. In Image and Signal Processing and Analysis : 4th International Symposium (ISPA 2005), 15-17 September 2005.IEEE, 64-69. [10] Daum, F., Huang, J. (2003). Curse of dimensionality and particle filters. In Aerospace Conference, 8-15March 2003. IEEE, Vol. 4, 4-1979-4-1993. [11] Google Project Hosting

Abstract

The goal of this paper is to identify and compare the most important changes in the structure of the Czech economy, as a small open economy with independent monetary policy, the Slovak economy, as a small open economy that entered monetary union, and the economy of the euro area, which has a common monetary policy, during the turbulent period of the Great Recession, the subsequent anaemic recovery and recent disinflationary period. Structural changes are identified with the help of nonlinear dynamic stochastic models of general equilibrium with time-varying parameters. The model parameters are estimated using Bayesian methods and a nonlinear particle filter. The results confirm the similarity of the Czech and Slovak economies and show that in certain respects the structure of the Czech economy might be closer to that of the euro area than that of Slovakia. The time-varying estimates reveal many similarities between the parameter changes in the Czech economy and those in the euro area. In Slovakia, the situation during the Great Recession was dominated by the country’s adoption of the euro, which caused large deviations in its Calvo parameters.

-duty diesel vehicles equipped with advanced PM and NOx emission controls , Atmospheric Environment, 43(18): p. 2950-2959, 2009. [5] Mayer, A., Czerwinski, J., Ulrich, A., Mooney, J. J., Metal-Oxide Particles in Combustion Engine Exhaust , SAE Technical Paper 2010-01-0792. [6] Mayer, A., Czerwinski, J., Kasper, M., Ulrich, A., Mooney, J. J., Metal Oxide Particle Emissions from Diesel and Petrol Engines , SAE Technical Paper 2012-01-0841. [7] Ulrich, A., et al., Particle and metal emissions of diesel and gasoline engines are particle filters appropriate measures

System, Navigation of China, 34, 45-50 8. Lu Wenbin Yao Wenxi Lu Zhengyu,2013. Speed Sensorless Vector Control with Improved Closed-Loop Flux Observer for Induction Machines. Transactions of China Electro Technical Society,28, 148-153. 9. R.V.Merwe,A.Douvet,N.De.Freitas et al,2000. The unscented particle filter.Technical Report CUED/F@ INPENG/ TR380:Cambridge University Engi -neering Department. 10. Sui Shu-lin,Yao Wen-long,2008. Spacecraft of autonomous optical navigation Based on wavelet-UPF. Systems Engineering and Elctronics. 8,1519-1522 11. Suman Maiti, Chandan

References Arulampalam, M. S., Maskell, S. and Gordon, N. (2002). A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing   50 (2): 174-188. Baum, L., Petrie, T., Soules, G. and Weiss, N. (1970). A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains, Annal Mathematics Statistics   41 (1): 164-171. Emambakhsh, M., Ebrahimnezhad, H. and Sedaaghi, M. H. (2010). Integrated region-based segmentation using color components and texture features with