Publicaciones en colaboración con investigadores/as de Kagoshima University (15)

2010

  1. Signal estimation with multiple delayed sensors using covariance information

    Digital Signal Processing: A Review Journal, Vol. 20, Núm. 2, pp. 528-540

2009

  1. Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

    Computers and Mathematics with Applications, Vol. 58, Núm. 6, pp. 1160-1168

  2. Signal estimation with nonlinear uncertain observations using covariance information

    Journal of Statistical Computation and Simulation, Vol. 79, Núm. 1, pp. 55-66

2008

  1. Nonlinear Estimation of Discrete-Time Signals under Random Observation Delay

    AIP Conference Proceedings

  2. Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

    International Journal of Systems Science, Vol. 39, Núm. 2, pp. 207-216

  3. Recursive estimation algorithm based on covariances for uncertainly observed signals correlated with noise

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E91-A, Núm. 7, pp. 1706-1712

  4. Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

    Applied Mathematics and Computation, Vol. 203, Núm. 1, pp. 243-251

  5. Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors

    Signal Processing, Vol. 88, Núm. 12, pp. 2998-3006

2007

  1. Signal polynomial smoothing from correlated interrupted observations based on covariances

    Mathematical Methods in the Applied Sciences

2006

  1. Least-squares νth-order polynomial estimation of signals from observations affected by non-independent uncertainty

    Applied Mathematics and Computation, Vol. 176, Núm. 2, pp. 642-653

  2. Recursive estimation of the false alarm probablility using approximations of mixtures

    Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC

  3. Signal estimation algorithm from uncertain observations with signal and coloured noise correlated at any sampling time

    Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC

2005

  1. An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

    Mathematical Methods in the Applied Sciences, Vol. 28, Núm. 13, pp. 1569-1584

2004

  1. Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information

    Applied Mathematics and Computation, Vol. 151, Núm. 2, pp. 315-325

  2. Chandrasekhar-type recursive Wiener filter using covariance information in linear discrete-time wide-sense stationary stochastic systems

    IFAC Proceedings Volumes (IFAC-PapersOnline)