Publicaciones en las que colabora con Francisco López Ferreras (22)

2009

  1. Combining MLPs and RBFNNs to detect signals with unknown parameters

    IEEE Transactions on Instrumentation and Measurement, Vol. 58, Núm. 9, pp. 2989-2995

  2. Study of two error functions to approximate the Neyman-Pearson detector using supervised learning machines

    IEEE Transactions on Signal Processing, Vol. 57, Núm. 11, pp. 4175-4181

2008

  1. MLP solutions for approximating the average likelihood radio detector in radar applications

    2008 IEEE Radar Conference, RADAR 2008

  2. MLP-based radar detectors for Swerling 1 targets

    Pattern Recognition and Image Analysis, Vol. 18, Núm. 1, pp. 101-106

  3. Robust detectors for targets of unknown correlation in clutter

    Proceedings of the 2008 International Conference on Radar, Radar 2008

2007

  1. Divide and conquer approach to improve performance on ATR systems

    Pattern Recognition and Image Analysis, Vol. 17, Núm. 2, pp. 284-291

2006

  1. A neural network approach to improve radar detector robustness

    European Signal Processing Conference

  2. Estimation of ocean wave heights from temporal sequences of X-band marine radar images

    European Signal Processing Conference

  3. Neural network detectors for composite hypothesis tests

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005

  1. Approximating the Neyman-Pearson detector for swerling I targets with low complexity neural networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Comparative analysis of importance sampling techniques to estimate error functions for training neural networks

    IEEE Workshop on Statistical Signal Processing Proceedings

  3. Complexity reduction in Neural Networks applied to Traffic Sign Recognition tasks

    13th European Signal Processing Conference, EUSIPCO 2005

  4. Sensitivity of neural networks which approximate the Neyman-Pearson detector to threshold variations

    13th European Signal Processing Conference, EUSIPCO 2005

  5. Sufficient condition for an adaptive system to approximate the Neyman-Pearson detector

    IEEE Workshop on Statistical Signal Processing Proceedings

  6. Using multilayer perceptrons to align high range resolution radar signals

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2003

  1. MLP and RBFN for detecting White Gaussian signals in White Gaussian interference

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2687, pp. 790-797

2002

  1. Improving neural classifiers for ATR using a kernel method for generating synthetic training sets

    Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

2001

  1. Design of a pre-processing stage for avoiding the dependence on TSNR of a neural radar detector

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Design of a pre-processing stage for avoiding the dependence on TSNR of a neural radar detector

    Bio-inspired applications of connectionism: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, June 13-15, 2001, Proceedings, Part II (Springer Alemania), pp. 652-659

  3. New algorithm for translating psycho-acoustic information to the wavelet domain

    Signal Processing, Vol. 81, Núm. 3, pp. 519-531