Courses
Stochastic Processes (EE  Undergraduate)
 Recommended Textbooks
 D. Bertsekas and J. Tsitsiklis, Introduction to Probability, 2nd ed. Athena Scientific, 2008.
 A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed. McGrawHill, 2002.
 H. P. Hsu, Schaum's Outline's of Probability, Random Variables & Random Processes, 2nd ed. McGrawHill, 2010.
 S. M. Ross, Probability and Random Processes, 10th ed. Academic Press, 2009.
 References for Probability and Stochastic Processes with Matlab
 S. M. Kay, Intuitive Probability and Random processes Using MATLAB. Springer, 2006.
 R. Y. Rubinstein and D. P. Kroese, Simulation and the Monte Carlo Method, 2nd ed. Wiley, 2008.
 S. L. Miller and D. Childers, Probability and Random Processes, 2nd ed. Academic Press, 2012.
 M. S. Grewal and A. P. Andrews, Kalman filtering : Theory and Practice Using MATLAB, 3rd ed. John Wiley & Sons, 2008.
 R. G. Brown and P. Y. C. Hwan, Introduction to Random Signals and Applied Kalman Filtering:
With MATLAB Exercises and Solutions, 3rd ed. John Wiley & Sons, 1997.
 References for Probability and Stochastic Processes with Engineering Applications
 R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems, 2nd ed. Springer, 1996.
 A. LeonGarcia, Probability, Statistics, and Random Processes for Electrical Engineering, 3rd ed. Pearson Prentice Hall, 2008.
 D. P. Bertsekas and S. E. Shreve, Stochastic Optimal Control: The DiscreteTime Case. Athena Scientific, 2007.
 D. P. Bertsekas, Dynamic Programming and Optimal Control: Approximate Dynamic Programming, Vol. II, 4th Edition. Athena Scientific, 2012.
 R. Billinton and R. N. Allan, Reliability Evaluation of Engineering Systems: Concepts and Techniques, 2nd ed. Springer, 1992.
 D. Bertsekas and R. G. Gallager,
Data Networks,
2nd ed. Prentice Hall, 1992.
(Chapter 3  Delay Models in Data Networks,
Book Website)
 R. G. Gallager, Stochastic Processes: Theory for Applications. Cambridge University Press, 2014.
 R. Billinton, R. Karki, and A. K. Verma, Reliability and Risk Evaluation of Wind Integrated Power Systems. Springer, 2013.
Digital Communication (EE  Undergraduate)
Wireless Communications (EE  Undergraduate)
Research Interests and Works
Publications
 E. V. Kuhn, F. C. de Souza, R. Seara, and D. R. Morgan,"
On the stochastic modeling of the IAFPNLMS algorithm for complex and real correlated gaussian input data,"
Signal Processing, vol. 99, pp. 103115, Jun. 2014.
 F. L. Perez, F. C. de Souza, and R. Seara,
"An improved
meansquare weight deviationproportionate gain algorithm based on error autocorrelation,"
Signal Processing, vol. 94, pp. 503513, Jan. 2014.
 F. L. Perez, F. C. de Souza, R. Seara, "Nova estratégia
de distribuição de ganho de adaptação aplicada ao algoritmo IAFPNLMS,"
in XXXI
Simpósio Brasileiro de Telecomunicações (SBrT), FortalezaCE, Brazil, Sep. 2013.
 E. V. Kuhn, F. C. de Souza, R. Seara, "Modelo
estocástico dos coeficientes para o algoritmo IAFPNLMS operando com dados complexos e reais,"
in XXXI
Simpósio Brasileiro de Telecomunicações (SBrT), FortalezaCE, Brazil, Sep. 2013.
 F. L. Perez, F. C. de Souza, R. Seara, "Algoritmo
com ganho proporcional ao desvio médio quadrático dos coeficientes baseado na autocorrelação do erro,"
in XXX
Simpósio Brasileiro de Telecomunicações (SBrT), BrasíliaDF, Brazil, Sep. 2012.
 F. C. de Souza, R. Seara, and D. R. Morgan, "An enhanced IAFPNLMS
adaptive algorithm for sparse impulse response identification,"
IEEE Trans. Signal Process., vol. 60, no. 6, pp. 33013307, Jun. 2012.
 F. C. de Souza, "Algoritmos
Adaptativos LMS Normalizados Proporcionais: Proposta de um Novo Algoritmo e Sua Modelagem Estocástica,"
PhD Thesis (Electrical Engineering), Federal University of Santa Catarina, Florianópolis, SC, Brazil,
2012. (Author PDF)
 F. C. de Souza, R. Seara, "Considerações
sobre a modelagem estocástica dos coeficientes do algoritmo adaptativo IAFPNLMS,"
in XXIX
Simpósio Brasileiro de Telecomunicações (SBrT), CuritibaPR, Brazil, Oct. 2011.
 F. C. de Souza, O. J. Tobias, R. Seara, and D. R. Morgan, "Stochastic model
for the mean weight evolution of the IAFPNLMS algorithm,"
IEEE Trans. Signal Process., vol. 58, no. 11, pp. 58955901, Nov. 2010.
 F. C. de Souza, O. J. Tobias, R. Seara, and D. R. Morgan, "A PNLMS algorithm with
individual activation factors,"
IEEE Trans. Signal Process., vol. 58, no. 4, pp. 20362047, Apr. 2010.
 F. C. de Souza, O. J. Tobias, R. Seara, "Considerações sobre o
algoritmo PNLMS com fatores de ativação individuais,"
in XXVII Simpósio Brasileiro de Telecomunicações (SBrT), BlumenauSC,
Brazil, Oct. 2009.
 F. C. de Souza, O. J. Tobias, R. Seara, and D. R. Morgan, "Alternative approach for computing the activation factor of the PNLMS algorithm,"
in Proc. European Signal Process. Conf. (EUSIPCO), Glasgow, Scotland,
Aug. 2009, pp. 26332637.
 J. T. C. Filho and F. C. Souza, "H_{∞} Control Through Multilevel Optimization,"
in Proceedings of IASTED International Conference on Control and Applications, Banff/Alberta, Canadá, 1999.
 J. T. C. Filho and F. C. Souza, "Projeto de Controlador Robusto via Otimização Multinível,"
in XII Congresso Brasileiro de Automática (CBA), UberlandiaMG,
Brazil, 1998.
 F. C. de Souza, "Uma Proposta de Controle Robusto Via Otimização Multinivel,"
MSc Dissertation (Electrical Engineering), Federal University of Maranhão, São Luís, MA, Brazil, 1998.
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Interest Areas
 Adaptive Filtering and SelfLearning Systems
 Reinforcemente Learning Systems
 Statistical and Adaptive Signal Processing
 Adaptive Array Processing
 Adaptive Filtering and its Applications
 Adaptive Algorithms for Sparse Impulse Response
 Stochastic Modeling of Adaptive Algorithms
 Active Noise and Vibration Control Systems
 Design of Robust Controllers (LQG/LTR and H_{∞} Techniques)
 Ionospheric Propagation of Radio Waves
 TimeFrequency Analysis
 Entropy and Information Theory
Senior Research Projects (Trabalhos de Conclusão de Curso  TCC)
 Concluded Projects
 New Projects
 Tecnologia Wireless ZigBee: Características, Padrão IEEE 802.15.4 e Suas Aplicações Usando a Técnica de Aprendizagem por Reforço
 Active Noise and Vibration Control Systems
 Cognitive Control Systems
 Adaptive Control Systems: Methods and Applications
 Medical Aspects of Electromagnetic (EM) Waves on Human Body
 Adaptive Echo Cancelling Systems (Network and Acoustic Echo Cancellation)
 Adaptive Algorithms for Identifications of Sparse Plants
 Kalman Filtering and its Applications
 Dynamic Programming (DP) and Reinforcement Learning (RL) Methods for Solving Optimal Control Problems
 Adaptive Methods for Sparse Environment
 Stochastic Processes Theory and its Applications
 Markov Chains with Rewards and Markov Decision Problem
Brief Biography
franciscosouza@ieee.org
