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Isaac Scientific Publishing
Frontiers in Signal Processing
Prof. Yuriy S. Shmaliy,  Universidad de Guanajuato, Mexico
Universidad de Guanajuato, DICIS, Ctra. Salamanca-Valle,
3.5+1.8km, Palo Blanco, 36885, Salamanca,
Gto, Mexico
Research Interests
• Statistical signal processing
• Optimal filtering and estimation
• Stochastic systems
Selected Publication List
•Y. S. Shmaliy, Continuous-Time Signals, Springer, Dordrecht, Netherlands, 2006
• Y. S. Shmaliy, Continuous-Time Systems, Springer, Dordrecht, Netherlands, 2007
• Y. S. Shmaliy, GPS-based Optimal FIR Filtering of Clock Models, Nova Science Publ., New York, 2009
• Probability: Interpretation, Theory and Applications, Ed. Y.S. Shmaliy, Nova Science Publ., New York, 2012
• Y. S. Shmaliy, An unbiased FIR filter for TIE model of a local clock in applications to GPS-based timekeeping, IEEE Trans. on Ultrason., Ferroelec., and Freq. Control, vol. 53, no. 5, pp. 862-870, May 2006
• Y. S. Shmaliy, On the multivariate conditional probability density of a signal perturbed by Gaussian noise, IEEE Trans. on Information Theory, vol. 53, no. 12, pp. 4792-4797, Dec 2007
• Y. S. Shmaliy, Optimal gains of FIR estimators for a class of discrete-time state space models, IEEE Signal Processing Letters, vol. 15, pp. 517-520, 2008
• Y. S. Shmaliy, J. Munoz-Diaz, and L. Arceo-Miquel, Optimal horizons for a one-parameter family of unbiased FIR filters, Digital Signal Processing, vol. 18, no. 5, pp. 739-750, Sep 2008
• Y. S. Shmaliy, Unbiased FIR filtering of discrete time polynomial state space models, IEEE Trans. on Signal Processing, vol. 57, no. 4, pp. 1241-1249, Apr. 2009.
• L. Arceo-Miquel, Y. S. Shmaliy, O. Ibarra-Manzano, Optimal synchronization of local clocks by GPS 1PPS signals using predictive FIR filters, IEEE Trans. Instrumentation and Measurement, vol. 58, no. 6, pp. 1833-1840, June 2009
• Y. S. Shmaliy, L. Morales-Mendoza, FIR smoothing of discrete-time polynomial models in state space, IEEE Trans. Signal Processing, vol. 58, no. 5, pp. 2544-2555, May 2010
• Y. S. Shmaliy, Linear optimal FIR estimation of discrete time-invariant state space models, IEEE Trans. Signal Processing, vol. 58, no. 6, pp. 3086-3096, Jun. 2010
• Y. S. Shmaliy, An iterative Kalman-like algorithm ignoring noise and initial conditions, IEEE Trans. Signal Processing, vol. 59, no. 6, pp. 2465-2473, Jun. 2011
• Y.S. Shmaliy, Suboptimal FIR filtering of nonlinear models in additive white Gaussian noise, IEEE Trans. Signal Process. , vol. 60, no. 10, pp. 5519-5527, Oct. 2012
• D. Simon, Y. S. Shmaliy, Unified forms for Kalman and finite impulse response filtering and smoothing, Automatica, vol. 49, no. 6, pp. 1892-1899, Jun. 2013
• Y. S. Shmaliy, D. Simon, Iterative unbiased FIR state estimation: a review of algorithms, EURASIP J. Advances Signal Process., vol. 113, no. 1, pp. 1-16, 2013
• F. Ramirez-Echeverria, A. Sarr, Y.S. Shmaliy, Optimal memory for discrete-time FIR filters in state space, IEEE Trans. Signal Process, vol. 62, no. 3, pp. 557-561, Feb. 2014
• J. Pomarico-Franquiz, M. Granados-Cruz, Y.S. Shmaliy, Self-localization over RFID tag grids excess channels using extended filtering techniques, IEEE J. of Selected Topics in Signal Process., vol. 9, no. 2, pp. 229-238, Mar. 2015
• S. Zhao, Y. S. Shmaliy, F. Liu, Fast computation of discrete Optimal FIR estimates in white Gaussian noise, IEEE Signal Process. Letters, vol. 22, no. 6, pp. 718-722, Jun. 2015
• S. Zhao, Y. S. Shmaliy, F. Liu, Fast Kalman-like optimal unbiased FIR filtering with applications, IEEE Trans. on Signal Process., vol. 64, no. 9, pp. 2284-2297, May 2016
• J. M. Pak, C. K. Ahn, Y. S. Shmaliy, P. Shi, M. T. Lim, Switching extensible FIR filter bank for adaptive horizon state estimation with applications, IEEE Trans. Contr. Syst. Techn., vol. 24, no. 3, pp. 1052-1058, May 2016
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