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Network based Signal Processing

  1. K. Xie, Q. Cai, Z. Zhang and M. Fu, "Distributed Algorithms for Average Consensus of Input Data with Fast Convergence," IEEE Transactions on Systems, Man and Cybernetics: Systems, pp. 1-12, 2019.
  2. J. Wang, S. Ma, C. Zhang and M. Fu, "H_infinity state estimation via asynchronous filtering for descriptor Markov jump systems with packet losses," Signal Processing, vol. 154, pp. 159-167, 2019.
  3. J. Wang, S. Ma, C. Zhang and M. Fu, "Finite-time H-infinity filtering for nonlinear singular systems with nonhomogeneous Markov jumps," IEEE Transactions on Cybernetics, vol. 49, no. 6, pp. 2133-2143, 2019.
  4. Z. Li, M. Fu and H. Zhang, "A new distributed Kalman fltering based on mean square estimation upper bounds," Journal of Franklin Institute, vol. 355, pp. 4032-4049, 2018.
  5. W. Yang and M. Fu, "A Filter-based Clock Synchronization Protocol for Wireless Sensor Networks," Asian Journal of Control, vol. 21, no. 4, pp. 1-15, 2019.
  6. Z. Wu, Q. Cai and M. Fu, "Covariance intersection for partially correlated random vectors," IEEE Transactions on Automatic Control, vol. 63, no. 3, pp. 619-629, March 2018.
  7. K. Xie, Q. Cai and M. Fu, "A Fast clock synchronization algorithm for wireless sensor networks," Automatica, vol. 92, pp. 133-142, 2018.
  8. Y. Mou, H. Xing, M. Fu and Z. Lin, "Distributed charging control for electric vehicles considering fair power allocation," IEEE International Conference on Control and Automation, 2018.
  9. H. Xing, Y. Mou, M. Fu and Z. Lin, "Decentralized algorithm for wind power regulation via TCLs in smart grids," IEEE International Conference on Control and Automation, 2018.
  10. D. Marelli, T. Sui and M. Fu, "Statistical approach to detection of attacks for stochastic cyber-physical systems," 9th IFAC Symposium on Robust Control Design (ROCOND), 2018.
  11. Y. Xu, T. Han, K. Cai, Z. Lin, G. Yan and M. Fu, "A distributed algorithm for resource allocation over dynamic digraphs," IEEE Transactions on Signal Processing, vol. 65, no. 10, pp. 2600-2612, 2017.
  12. W. Yang and M. Fu, "A proportional integral estimator-based clock synchronization protocol for wireless sensor networks," ISA Transactions, 71(1):148-160, 2017.
  13. Y. Qiao, W. Yang and M. Fu, "A consensus-based distributed method of clock synchronization for sensor networks," International Journal of Distributed Sensor Networks, 13(3), 2017.
  14. Y. Qiao, W. Yang and M. Fu, "A new distributed method for clock synchronization in sensor networks," 29th Chinese Control And Decision Conference (CCDC), 2017.
  15. Y. Qiao, W. Yang and M. Fu, "A new distributed algorithm of clock synchronization for static sensor networks," 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016.
  16. Y. Qiao, W. Yang and M. Fu, "A new power-efficient distributed method for clock synchronization in sensor networks," 35th Chinese Control Conference, 2016.
  17. Z. Lin, T. Han, R. Zheng and M. Fu, "Distributed Localization for 2-D Sensor Networks With Bearing-Only Measurements Under Switching Topologies," IEEE Transactions on Signal Processing, vol. 64, no. 23, pp. 6345-6359, 2016.
  18. T.Sui, D. Marelli and M. Fu, "Convergence analysis for Gaussian belief propagation: dynamic behaviour of marginal covariances," ICASSP 2016, May 2016.
  19. T. Sui, D. Marelli and M. Fu, "Convergence Analysis of Gaussian Belief Propagation for Distributed State Estimation," IEEE Conference on Decision and Control, December 2015.
  20. Y. Diao, M. Fu, H. Zhang and Z. Lin, "Cluster-Based Sequential Localization for Sensor Networks," IEEE Transactions on Control of Networked Systems, vol. 2, no. 4, pp. 358-369, Dec., 2015.
  21. Z. Lin, M. Fu and Y. Diao, "Distributed self localization for relative position sensing networks," IEEE Transactions on Signal Processing, vol. 63, no. 14, pp. 3751-3761, 2015.
  22. D. Marelli, M. Fu and B. Ninness, "Asymptotic optimality of the maximum-likelihood Kalman filter for Bayesian tracking with multiple nonlinear sensors," IEEE Transactions on Signal Processing, vol. 63, no. 17, pp. 4502-4515, 2015.
  23. D. Marelli and M. Fu, "Distributed Weighted Linear Least Squares Estimation with Fast Convergence in Large-scale Systems," Automatica, vol. 51, pp. 27-39, Jan. 2015.
  24. K. You, T. Sui and M. Fu, "Kalman Filtering over Lossy Networks under Switching Sensors," Asian Journal of Control, vol. 17, no. 1, pp. 45-54, Jan. 2015.
  25. T. Sui, D. Marelli and M. Fu, "Convergence Analysis of Gaussian Belief Propagation for Distributed State Estimation," IEEE Conference on Decision and Control, December 2015.
  26. Y. Diao, Z. Lin and, M. Fu, "A Barycentric Coordinate based Distributed Localization Algorithm for Sensor Networks," IEEE Transactions on Signal Processing, vol. 62, no. 18, pp. 4760-4771, Sept. 2014.
  27. B. Wang and M. Fu, "Comparison of Periodic and Event Based Sampling for Linear State Estimation," IFAC World Congress, Cape Town, 2014.
  28. T. Sui, K. You and M. Fu, "Stability of Kalman Filtering with Multiple Sensors Involving Lossy Communications," IFAC World Congress, Cape Town, 2014.
  29. D. Marelli and M. Fu, "Asymptotic Optimality of the Maximum-likelihood Filter for Bayesian Tracking in Sensor Networks," IFAC World Congress, Cape Town, 2014.
  30. Y. Diao, G. Hu, D. Marelli, Z. Lin and M. Fu, "Cooperative Localization of Sensor Nodes based on Distributed Estimation Techniques," International Conference on Control and Automation, June 2014.
  31. D. Marelli and M. Fu, "Distributed Weighted Least Squares Estimation with Fast Convergence in Large-scale Systems," IEEE Conference on Decision and Control, Florence, 2013.
  32. Y. Diao, Z. Lin, M. Fu and H. Zhang, "Localizability and Distributed Localization of Sensor Networks using Relative Position Measurements," IFAC Symposium on Large Scale Systems, Shanghai, Dec. 2013.
  33. Y. Diao, Z. Lin, M. Fu and H. Zhang, "A New Distributed Localization Method for Sensor Networks," Asian Control Conference, Istanbul, June 2013.
  34. D. Marelli, K. Mahata and M. Fu, "A New Encoder for Continuous-Time Gaussian Signals With Fixed Rate and Reconstruction Delay," IEEE Transactions on Signal Processing, vol. 60, no.6, pp. 3052-3064, 2012.
  35. X. Wang, H. Zhang and M. Fu, "Collaborative target tracking in WSNs using the combination of maximum likelihood estimation and Kalman filtering," Journal of Control Theory and Applications, vol. 11, no. 1, pp. 27-34, 2013.
  36. Y. Diao, H. Zhang and M. Fu, "Localizability exploration of sensor network," Journal of Control Theory and Applications, vol. 30, no. 5, pp. 625-631, 2013.
  37. S. Wang, M. Fu and H. Zhang, " Target tracking in wireless sensor networks based on the combination of KF and MLE using distance measurements," IEEE Transactions on Mobile Computing, vol. 11, no. 4, pp. 567-576, 2012.
  38. D. Marelli, K. Mahata and M. Fu, " A New Encoder for Continuous-Time Gaussian Signals With Fixed Rate and Reconstruction Delay," IEEE Transactions on Signal Processing, vol. 60, no.6, pp. 3052-3064, 2012.
  39. Y. Diao, M. Fu and H. Zhang, "Comparison of Node Localization Methods for Sensor Network," 12th International Conference on Control, Automation, Robotics and Vision (ICARCV), Gangzhou, China, Dec. 2012.
  40. D. Marelli, K. Mahata and M. Fu, " Hybrid Filterbank ADCs with Blind Filterbank Estimation," IEEE Transactions on Circuits and Systems I, vol. 58, no. 10, pp. 2446-2457, 2011.
  41. Y. Diao, M. Fu and H. Zhang, "Localizability exploration of sensor networks," Chinese Automation Congress, Beijing, November, 2011.
  42. T. Li, M. Fu, L. Xie and J. Zhang, " Distributed Consensus with Limited Communication Data Rate," IEEE Transactions on Automatic Control, vol. 56, no. 2, pp. 279-292, Feb. 2011.
  43. N. Xiao, L. Xie and M. Fu, "Kalman filtering over unreliable communication networks with bounded Markovian packet dropouts," International Journal of Robust and Nonlinear Control, vol. 19, no. 16, pp. 1770-1786, 2009.
  44. M. Fu and C. E. de Souza, "State estimation for linear discrete-time systems using quantized measurements," Automatica, vol. 45, no. 12, pp. 2937-2945, 2009.
  45. E. Rohr, D. Marelli and M. Fu, "Statistical Properties of the Error Covariance in a Kalman Filter with Random Measurement Losses," IEEE Conference on Decision and Control, Atlanta, Dec., 2010.
  46. C. Han, H. Zhang and M. Fu, "Linear estimation for discrete-time systems with Markov jump delays," 8th World Congress on Intelligent Control and Automation (WCICA), Jinan, July 2010.
  47. L. Wei, H. Zhang and M. Fu, "Finite-horizon quantized estimation using sector bound approach," 8th World Congress on Intelligent Control and Automation (WCICA), Jinan, July 2010.
  48. Y. Diao, M. Fu and H. Zhang, "An overview of range detection techniques for wireless sensor networks," 8th World Congress on Intelligent Control and Automation (WCICA), Jinan July 2010.

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Smart Grid

  1. H. Xing, Z. Lin, M. Fu and B. F. Hobbs, "Distributed algorithm for dynamic economic power dispatch with energy storage in smart grids," IET Control Theory & Applications, vol. 11, no. 11, pp. 1813-1821, 2017.
  2. Y. Sun, M. Fu, B. Wang and H. Zhang, "Distributed dynamic state estimation with parameter identification for large-scale systems," Journal of the Franklin Institute, 354(14):6200-6216, 2017.
  3. Y. Sun, M. Fu and H. Zhang, "Performance comparison of distributed state estimation algorithms for power systems," Journal of Systems Science and Complexity, 30(3):595-615, 2017.
  4. H. Xing, Z. Lin and M. Fu, "Distributed augmented lambda-iteration method for economic dispatch in smart grid," Chinese Automation Congress, 2017.
  5. H. Xing, Z. Lin and M. Fu, "A new decentralized algorithm for optimal load shifting via electric vehicles," 36th Chinese Control Conference, 2017.
  6. Y. Sun, M. Fu, B. Wang, H. Zhang and D. Marelli, "Dynamic state estimation for power networks using distributed MAP technique," Automatica, 73:27-37, 2016.
  7. H. Xing, Y. Mou, Z. Lin and M. Fu, "Decentralized optimal scheduling for charging and discharging of plug-in electric vehicles in smart grids," IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 4118-4127, 2016.
  8. Y. Mou, H. Xing, Z. Lin and M. Fu, "Decentralized optimal demand-side-management for PHEV charging in a smart grid," IEEE Transactions on Smart Grid, vol.6, no.2, pp.726-736, March 2015.
  9. H. Xing, Y. Mou, Z. Lin and M. Fu, "Distributed bisection method for economic power dispatch in smart grid," IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 3024-3035, 2015.
  10. Y. Sun, M. Fu, B. Wang and H. Zhang, "Dynamic state estimation in power systems using a distributed MAP method," Chinese Control Conference, July 2015.
  11. H. Xing, Z. Lin and M. Fu, "An ADMM + Consensus Based Distributed Algorithm for Dynamic Economic Power Dispatch in Smart Grid," Chinese Control Conference, July 2015.
  12. H. Xing, Y. Mou, M. Fu and Z. Lin, "Decentralized algorithm for economic power dispatch with transmission losses, European Control Conference," July 2015.
  13. Y. Mou, X. Hao, M. Fu and Z. Lin, "Decentralized PWM-based charging control for plug-in electric vehicles, European Control Conference," July 2015.
  14. Y. Sun, M. Fu, B. Wang and H. Zhang, "A Distributed MAP Approach to Dynamic State Estimation with Applications in Power Networks, European Control Conference," July 2015.
  15. H. Xing, Y. Mou, M. Fu and Z. Lin, "Consensus Based Bisection Approach for Economic Power Dispatch," IEEE Conference on Decision and Control, December, 2014. (Invited Paper)
  16. H. Xing, Y. Mou, Z. Lin and M. Fu, "Fast Distributed Power Regulation Method via Networked Thermostatically Controlled Loads," IFAC World Congress, Cape Town, 2014.
  17. Y. Mou, H. Xing, Z. Lin and M. Fu, "A new approach to distributed charging control for plug-in hybrid electric vehicles," Chinese Control Conference, July 2014. (Invited Paper)
  18. X. Tai, D. Marelli, E. Rohr and M. Fu, "Optimal PMU Placement for Power System State Estimation with Random Component Outages," International Journal of Electrical Power & Energy Systems, vol. 51, pp. 35-42, 2013.
  19. X. Tai, Z. Lin, M. Fu and Y. Sun, "A New Distributed State Estimation Technique for Power Networks," American Control Conference, Washington D.C., June 2013.
  20. D. Guo, W. Zhang, G. Yan, Z. Lin and M. Fu, "Decentralized Control of Aggregated Loads for Demand Response," American Control Conference, Washington D.C., June 2013.
  21. X. Tai, D. Marelli, E. Rohr and M. Fu, "Optimal PMU placement for power system state estimation with random ommunication packet losses," 9th IEEE International Conference on Control and Automation, Santiago, Chile, Dec. 2011.
  22. X. Tai, D. Marelli and M. Fu, "Power System Dynamic State Estimation with Random Communication Packets Loss," the 4th International Symposium on Advanced Control of Industrial Processes, Hangzhou, China, May 2011.

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Robust Filtering and Estimation

  1. D. Marelli, K. Mahata and M. Fu, " Linear LMS compensation for timing mismatch in time-interleaved ADCs," IEEE Transactions on Circuits and Systems I, vol. 56, no. 11, pp. 2476-2486, 2009.
  2. C. E. de Souza, K. A. Barbosa and M. Fu, "Robust filtering for uncertain linear discrete-time descriptor systems," Automatica, vol. 44, no. 3, pp. 792-798, 2008. Also see C. de Souza, K. Barbosa and M. Fu, “Robust filtering for uncertain linear discrete-time descriptor systems,” 2006 SYSID, Newcastle, Australia, March 2006.
  3. M. Fu, C. E. de Souza and Z.-Q. Luo, “Finite horizon robust Kalman filter design,” IEEE Trans. Signal Processing, vol. 49, no. 12, pp. 2103-2112, 2001. (Also appeared as: M. Fu, C. E. de Souza and Z.-Q. Luo, “Finite horizon robust Kalman filter design,” IEEE Conf. Decision and Control, Phoenix, 1999.)
  4. R. Lopez-Valcarce, S. Dasupta, R. Tempo and M. Fu, “Exponential asymptotic stability of time-varying inverse prediction,” IEEE Trans. Signal Processing, vol. 48, no. 7, pp. 1928-1936, July 2000.
  5. H. Li and M. Fu, “A linear matrix inequality approach to robust H-infinity filtering for linear systems,” IEEE Trans. Signal Processing, vol. 45, no. 9, pp. 2338-2350, 1997. (Also appeared as: H. Li and M. Fu, “A linear matrix inequality approach to robust H-infinity filtering for linear systems,” IEEE Conf. Decision and Control, 1995.)
  6. S. Dasgupta, M. Fu and C. Schwarz, “Robust relative stability of time-invariant and timevarying lattice filters,” IEEE Trans. Signal Processing, vol. 46, no. 8, pp. 2088-2100, 1998. (Also appeared as: S. Dasgupta, M. Fu and C. Schwarz, “Robust relative stability of time-invariant and timevarying lattice filters,” IEEE Conf. Decision and Control, Kobe, Japan, 1996.)
  7. L. Xie, M. Fu and H. Li, “Passivity Analysis and Passification for Uncertain Signal Processing Systems,” IEEE Trans. Signal Processing, vol. 46, no. 9, pp. 2394-2403, 1998. (Also appeared as: L. Xie, M. Fu and H. Li, "Passivity Analysis for Uncertain Signal Processing Systems," in Int. Conf. Acoustics, Speech and Signal Processing, Seattle, May 1998.)
  8. S. K. Nguang and M. Fu, “Robust Nonlinear H-infinity Filtering,” Automatica, vol. 32, no. 8, pp. 1195-1199, 1996.
  9. C. E. de Souza, U. Shaked and M. Fu, “Robust H-infinity Filtering with Parametric Uncertainty and Deterministic Input Signal,” IEEE Trans. Signal Processing, vol. 43, no. 3, 1995. (Also appeared as: C. E. de Souza, U. Shaked and M. Fu, “Robust H-infinity Filtering with Parametric Uncertainty and Deterministic Input Signal,” Proc. 30th IEEE Conference on Decision and Control, Tucson, AZ, USA, 1992.)
  10. M. Fu, C. E. de Souza, and L. Xie, "H_infinity Estimation for Uncertain Systems," International Journal of Robust and Nonlinear Control, vol. 2, pp. 87-105, 1992.
  11. L. Xie, C. E. de Souza and M. Fu, "H_infinity Estimation for Discrete-time Uncertain Systems," International Journal of Robust and Nonlinear Control, vol. 1, no. 2, pp. 111-123, 1991.
  12. M. Fu, "Interpolation Approach to "H_infinity Estimation and its Interconnection to Loop Transfer Recovery," Systems and Control Letters, vol. 17, pp. 29-36, 1991.
  13. C. E. de Souza, M. Fu and A. Trofino, “Robust H-infinity filter design using parameter dependent Lyapunov functions,”3rd IFAC Symposium on Robust Control Design, Prague, June, 2000.
  14. G. Ljungars and M. Fu, “Design of Multi-channel Linear Phase FIR Filters,” in Mini-symposium on Mathematical Analysis and its Applications, Newcastle, 1998.

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System Identification

  1. D. Marelli, K. You and M. Fu, "Identification of ARMA Models using Intermittent and Quantized Output Observations," Automatica, vol. 49, no. 2, pp. 360-369, 2013.
  2. D. Marelli and M. Fu, "On Identification of Linear Systems with Quantized and Intermittent Information," 16th IFAC Symposium on System Identification, Brussels, July 2012.
  3. D. Marelli and M. Fu, " A Continuous-Time Linear System Identification Method for Slowly Sampled Data," IEEE Transactions on Signal Processing, vol. 58, no.5, pp. 2521-2533, May 2010.
  4. D. Marelli and M. Fu, " A Recursive Method for the Approximation of LTI Systems using Subband Processing," IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1025-1034, 2010.
  5. K. Mahata and M. Fu, "On the indirect approaches for CARMA model identification," Automatica, vol. 43, pp. 1457-1463, 2007.
  6. K. Mahata and M. Fu, "A robust interpolation algorithm for spectral analysis," IEEE Transactions on Signal Processing, vol. 55, no. 10, pp. 4851-4861, 2007. Also see K. Mahata and M. Fu, “A robust interpolation algorithm for spectral estimation,” ICASSP, Toulouse, May 2006.
  7. D. Marelli and M. Fu, "Exact identification of continuous-time systems from sampled data," IEEE International Conference on Acoustics, Speech, and Signal Processing, Hawaii, April, 2007.
  8. K. Mahata and M. Fu, “On the reconstruction of continuous-time models from estimated discrete-time models of stochastic processes,” 2006 SYSID, Newcastle, Australia, March 2006.
  9. M. Fu and K. Mahata, “Generalizations of the Nevanlinna-Pick interpolation problem,” IEEE Conference on Decision and Control, Seville, Spain, December 2005.
  10. K. Mahata and M. Fu, “On constrained covariance extension problem”, IEEE Conference on Decision and Control, Seville, Spain, December 2005.
  11. K. Mahata and M. Fu, “Modeling continuous-time stochastic processes using input-to-state filters,” IFAC World Congress, July 2005.
  12. D. Marelli and M. Fu, “A Subband Approach to Channel Estimation and Equalization for DMT and OFDM Systems,” IEEE Transactions on Communications, vol. 53, no. 11, pp.1850-1858, Nov 2005. (Also appeared as: D. Marelli and M. Fu, “Subband methods for OFDM equalization,” IEEE International Conference on Communications, June 2003.)
  13. D. Marelli and M. Fu, Asymptotic Properties of Subband Identification, IEEE Transactions on Signal Processing, vol. 51, no. 12, pp. 3128-3142, 2003.
  14. D. Marelli and M.Fu, Performance Analysis for Subband Identification, IEEE Transactions on Signal Processing, vol. 52, no. 1, pp. 142-154, 2004.
  15. D. Marelli and M. Fu, "Optimized Filterbank Design for Subband identification," in Proc. ICASSP, Salt Lake City, 2001.
  16. D. Marelli and M. Fu, “System Identification Using Subband Signal Processing,”IEEE Conf. Decision and Control, Orlando, Florida, December, 2001.
  17. D. Marelli and M. Fu, "Convergence Properties of Subband Identification,"Asian Control Conference, Singapore, September, 2002.
  18. D. Marelli and M. Fu, "A comparative study on subband identification," IEEE Conf. Decision and Control, Sydney, 2000.

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Blind Identification

  1. Er-Wei Bai and Minyue Fu, "A blind approach to Hammerstein model identification," IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1610 -1619, July 2002. Also in IEEE Conf. Decision and Control, Orlando, Florida, December, 2001.
  2. E. Bai and M. Fu, Blind System Identification and Channel Equalization for IIR Systems without Statistical Information,"IEEE Transactions on Signal Processing, vol. 47, no. 7, pp. 1910-1921, July, 1999. (Also appeared as: E. Bai and M. Fu, “Blind System Identification and Channel Equalization for IIR Systems without Statistical Information,” IEEE Conf. Decision and Control, Kobe, Japan, 1996.)

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Multirate Signal Processing

  1. D. Marelli, K. Mahata and M. Fu, "Linear LMS compensation for timing mismatch in time-interleaved ADCs," 34th Annual Conference of the IEEE Industrial Electronics Society (IECON), Florida, Nov. 2008.
  2. D. Marelli and M. Fu, “Ergodic properties for multirate linear systems,” IEEE Transactions on Signal Processing, vol. 55, no. 2, pp. 461-473, 2007. Also see: D. Marelli and M. Fu, “Notions of strong ergodicity for stochastic analysis of multirate systems,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, May 2004.
  3. O. S. Jahromi, M. A. Masnadi 0Shirazi and M. Fu, "A fast O(N) algorithm for adaptive filter bank design,"  in Int. Conf. Acoustics, Speech and Signal Processing, Seattle, May 1998.
  4. C. Schwarz, S. Dasgupta and M. Fu, "Dyadic factorization of all pass, IIR, linear time varying analysis banks in multirate signal processing," IEEE Conference on Decision and Control, 1997.
  5. M. Fu, S. Dasgupta and G. A. Williamson, "Algorithms for Optimal Multirate Filter Bank Design," Fourth International Symposium on Signal Processing and Its Applications, Goldcoast, Australia, August 1996.
  6. G. A. Williamson, S. Dasgupta and M. Fu, "Multistage Multirate Adaptive Filters," Int. Conf. Acoustics, Speech and Signal Processing, Atlanta, Georgia, May 1996.
  7. C. Schwartz, S. Dasgupta and M. Fu, "A Lattice Structure for Perfect Reconstruction Linear Time Varying IIR Filter Banks with All Pass Analysis Banks,"  Int. Conf. Acoustics, Speech and Signal Processing, Munich, April 1997.

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Neural Networks and Learning

  1. B. Zhang, M. Fu and H. Yan, "A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digit recognition," Pattern Recognition, vol. 34, pp. 203-214, 2001.
  2. B. Zhang, M. Fu, H. Yan and M. A. Jabri, "Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM)," IEEE Trans. Neural Networks, vol. 10, no. 4, pp. 930-945, 1999.
  3. B. L. Zhang, M. Fu and H. Yan, "Handwritten Digit Recognition by a Mixture of Local Principal Component Analysis," Neural Processing Letters, vol. 8, pp. 241-251, 1998.
  4. B. L. Zhang, L. Xu and M. Fu, "Learning Multiple Causes by Competition Enhanced Least Mean Square Error Reconstruction," Int. J. Neural Systems, vol. 7, no. 3, pp. 223-236, 1996.
  5. B. L. Zhang, M. Fu H. Yan and Jian-guo Wang , ``Handwritten Digit Recognition by Neural Gas Model and Population Decoding, '' in 1998 IEEE International Joint Conference on Neural Networks, Alaska, May 1998.
  6. B. L. Zhang, M. Fu and H. Yan, ``Application of neural 'Gas' model in image compression,'' in 1998 IEEE World Congress on Computational Intelligence, Alaska, May 1998.
  7. B. L. Zhang, M. Fu and H. Yan, ``A Modular Classification Scheme with Elastic Net Models for Handwritten Digit Recognition, " Proc. 14th International Conference on Pattern Recognition, Brisbane, August, 1998.
  8. B. L. Zhang, M. Fu and H. Yan, ``Handwritten Signature Verification based on Neural 'Gas' Based Vector Quantization, " Proc. 14th International Conference on Pattern Recognition, Brisbane, August, 1998.
  9. B. L. Zhang, M. Fu and H. Yan, ``Subject-based modular eigenspace scheme for face recognition, "  Proc. 2nd International Workshop on Statistical Techniques in Pattern Recognition, Sydney, August, 1998.

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Speech Signal Processing

  1. B. T. Tan, P. Dermody, M. Fu and A. Spray, "The Effect of External and Middle Ear Filtering on Automatic Phoneme Recognition,"The Fourth International Symposium on Signal Processing and its Application (ISSPA) , Goldcoast, Australia, August 1996.
  2. B. T. Tan, M. Fu, A. Spray and P. Dermody, "The use of wavelet transforms in phoneme recognition," The Fourth International Conference on Spoken Language Processing (ICSLP) , Philadelphia, October, 1996.
  3. B. T. Tan and M. Fu, "The Use of Auditory Masking in Automatic Phoneme Recognition," Department of Electrical and Computer Engineering, University of Newcastle, 1996.
  4. B. T. Tan, M. Fu and P. Dermody, "An HMM based speaker-independent phoneme recognition system," Department of Electrical and Computer Engineering, University of Newcastle, 1995.
  5. S. Chen and M. Fu, "Computer Assisted Language Learning in Teacher Education: Training of Tones and Stress Patterns in Asian Languages," IEEE Int. Conf. Multimedia Engineering Education , Melbourne, Australia, July, 1996.
  6. S. Chen and M. Fu, "Two Major Difficulties in the Teaching of Chinese and Computer Assisted Language Learning," Chinese Teaching in the World, vol. 3, pp. 88-93, 1996. (In Chinese)

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Miscellaneous Papers

  1. Z. Wu, H. Chen, S. Du, M. Fu, N. Zhou and N. Zheng, "Correntropy based scale ICP algorithm for robust point set registration," Pattern Recognition, vol. 93, pp. 14-24, 2019.
  2. J. Guo, N. Ren, Z. Xu, M. Fu and Y. Sun, "Condition monitoring for train suspension system based on cross-correlation," IEEE 17th International Conference on Intelligent Transportation Systems, Qingdao, 2014.
  3. E.-W. Bai, M. Fu, R. Tempo and Y. Ye, "Convergence results of the analytic center estimator," IEEE Trans. Auto. Contr., vol. 45, no. 3, pp. 569-571, March 2000.
  4. E.-W. Bai, M. Fu, R. Tempo and Y. Ye, "Analytic center approach to bounded error parameter estimation: convergence analysis and stochastic properties," in IEEE Conference on Decision and Control, Tampa, Florida, December, 1998.
  5. E. Bai, M. Fu, R. Tempo and Y. Ye, "Analytic center approach to parameter estimation: convergence analysis,''Proc. of Int. Conf. Acoustics, Speech and Signal Processing, Seattle, May 1998.

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