FRANCISCO C. SOUZA Currículo Lattes

Electrical Engineer and Faculty Member of the Department of Electrical Engineering (DEEE) at the Federal University of Maranhão (UFMA - Universidade Federal do Maranhão), São Luís, Brazil.

His research work has been carried out in the Adaptive Systems and Signal Processing Laboratory (LSAPS - Laboratório de Sistemas Adaptativos e Processamento de Sinais) at UFMA as well as in the Circuits and Signal Processing Laboratory (LINSE) at the Federal University of Santa Catarina (UFSC), Florianópolis, Brazil.

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Tutorials and Open Resources


Institutional Links
Courses


Stochastic Processes (EE - Undergraduate)
  • Recommended Textbooks

    1. D. Bertsekas J. Tsitsiklis, Introduction to Probability, 2nd ed. Athena Scientific, 2008.

    2. A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed. McGraw-Hill, 2002.

    3. H. P. Hsu, Schaum's Outline's of Probability, Random Variables & Random Processes, 2nd ed. McGraw-Hill, 2010.

    4. S. M. Ross, Probability and Random Processes, 10th ed. Academic Press, 2009.

  • References for Probability and Stochastic Processes with Matlab

    1. S. M. Kay, Intuitive Probability and Random processes Using MATLAB. Springer, 2006.

    2. R. Y. Rubinstein and D. P. Kroese, Simulation and the Monte Carlo Method, 2nd ed. Wiley, 2008.

    3. S. L. Miller and D. Childers, Probability and Random Processes, 2nd ed. Academic Press, 2012.

    4. M. S. Grewal and A. P. Andrews, Kalman filtering : Theory and Practice Using MATLAB, 3rd ed. John Wiley & Sons, 2008.

    5. 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

    1. R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems, 2nd ed. Springer, 1996.

    2. A. Leon-Garcia, Probability, Statistics, and Random Processes for Electrical Engineering, 3rd ed. Pearson Prentice Hall, 2008.

    3. D. P. Bertsekas and S. E. Shreve, Stochastic Optimal Control: The Discrete-Time Case. Athena Scientific, 2007.

    4. D. P. Bertsekas, Dynamic Programming and Optimal Control: Approximate Dynamic Programming, Vol. II, 4th Edition. Athena Scientific, 2012.

    5. R. Billinton and R. N. Allan, Reliability Evaluation of Engineering Systems: Concepts and Techniques, 2nd ed. Springer, 1992.

    6. D. Bertsekas and R. G. Gallager, Data Networks, 2nd ed. Prentice Hall, 1992. (Chapter 3 - Delay Models in Data Networks, Book Website)

    7. R. G. Gallager, Stochastic Processes: Theory for Applications. Cambridge University Press, 2014.

    8. 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
  1. E. V. Kuhn, F. C. de Souza, R. Seara, and D. R. Morgan," On the stochastic modeling of the IAF-PNLMS algorithm for complex and real correlated gaussian input data," Signal Processing, vol. 99, pp. 103-115, Jun. 2014.

  2. F. L. Perez, F. C. de Souza, and R. Seara, "An improved mean-square weight deviation-proportionate gain algorithm based on error autocorrelation,"
    Signal Processing, vol. 94, pp. 503-513, Jan. 2014.

  3. F. L. Perez, F. C. de Souza, R. Seara, "Nova estratégia de distribuição de ganho de adaptação aplicada ao algoritmo IAF-PNLMS,"
    in XXXI Simpósio Brasileiro de Telecomunicações (SBrT), Fortaleza-CE, Brazil, Sep. 2013.

  4. E. V. Kuhn, F. C. de Souza, R. Seara, "Modelo estocástico dos coeficientes para o algoritmo IAF-PNLMS operando com dados complexos e reais,"
    in XXXI Simpósio Brasileiro de Telecomunicações (SBrT), Fortaleza-CE, Brazil, Sep. 2013.

  5. 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), Brasília-DF, Brazil, Sep. 2012.

  6. F. C. de Souza, R. Seara, and D. R. Morgan, "An enhanced IAF-PNLMS adaptive algorithm for sparse impulse response identification,"
    IEEE Trans. Signal Process., vol. 60, no. 6, pp. 3301-3307, Jun. 2012.

  7. 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)

  8. F. C. de Souza, R. Seara, "Considerações sobre a modelagem estocástica dos coeficientes do algoritmo adaptativo IAF-PNLMS,"
    in XXIX Simpósio Brasileiro de Telecomunicações (SBrT), Curitiba-PR, Brazil, Oct. 2011.

  9. F. C. de Souza, O. J. Tobias, R. Seara, and D. R. Morgan, "Stochastic model for the mean weight evolution of the IAF-PNLMS algorithm,"
    IEEE Trans. Signal Process., vol. 58, no. 11, pp. 5895-5901, Nov. 2010.

  10. 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. 2036-2047, Apr. 2010.

  11. 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), Blumenau-SC, Brazil, Oct. 2009.

  12. 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. 2633-2637.

  13. Costa Filho, J. T., Souza, F. C, "Hinf Control Through Multilevel Optimization,"
    in Proceedings of IASTED International Conference on Control and Applications, Banff/Alberta, Canadá, 1999.

  14. Costa Filho, J. T., Souza, F. C, "Projeto de Controlador Robusto via Otimização Multinível,"
    in XII Congresso Brasileiro de Automática (CBA), Uberlandia-MG, Brazil, 1998.

  15. 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 Self-Learning 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

  • Time-Frequency Analysis

  • Entropy and Information Theory

Senior Research Projects (Trabalhos de Conclusão de Curso - TCC)
  • Concluded Projects

  • New Projects

    1. Tecnologia Wireless ZigBee: Características, Padrão IEEE 802.15.4 e Suas Aplicações Usando a Técnica de Aprendizagem por Reforço

    2. Active Noise and Vibration Control Systems

    3. Cognitive Control Systems

    4. Adaptive Control Systems: Methods and Applications

    5. Medical Aspects of Electromagnetic (EM) Waves on Human Body

    6. Adaptive Echo Cancelling Systems (Network and Acoustic Echo Cancellation)

    7. Adaptive Algorithms for Identifications of Sparse Plants

    8. Kalman Filtering and its Applications

    9. Dynamic Programming (DP) and Reinforcement Learning (RL) Methods for Solving Optimal Control Problems

    10. Adaptive Methods for Sparse Environment

    11. Stochastic Processes Theory and its Applications

    12. Markov Chains with Rewards and Markov Decision Problem



Brief Biography





franciscosouza@ieee.org










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