Publicaciones en las que colabora con Roberto Gil Pita (25)

2013

  1. Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error Emerging radar techniques

    Eurasip Journal on Advances in Signal Processing, Vol. 2013, Núm. 1

2012

  1. Speech source separation using a generalized mean shift algorithm

    Signal Processing, Vol. 92, Núm. 9, pp. 2248-2252

2011

  1. Energy-weighted Mean Shift algorithm for speech source separation

    IEEE Workshop on Statistical Signal Processing Proceedings

  2. Statistical blind classification of terrain surfaces in SAR images

    2nd International Conference on Space Technology, ICST 2011

2010

  1. Application of diametrical clustering to tree-based matching pursuit for sinusoidal modeling

    European Signal Processing Conference

  2. Automatic target detection in simulated ground clutter (Weibull distributed) by multilayer perceptrons in a low-resolution coherent radar

    IET Radar, Sonar and Navigation, Vol. 4, Núm. 2, pp. 315-328

2009

  1. Statistical analysis of the zero-phase method for aligning noisy high-resolution radar signals

    IET Radar, Sonar and Navigation, Vol. 3, Núm. 1, pp. 62-69

  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. Detection of known targets in weibull clutter based on neural networks. Robustness study against target parameters changes

    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

2007

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

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

  2. Low complexity MLP-based radar detector: Influence of the training algorithm and the MLP size

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

  3. Performance analysis of MLP-based radar detectors in weibull-distributed clutter with respect to target doppler frequency

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

  4. Robustness with respect to the signal-to-noise ratio of MLP-based detectors in weibull clutter

    European Signal Processing Conference

2006

  1. NN-based detector for known targets in coherent Weibull clutter

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

2005

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

    13th European Signal Processing Conference, EUSIPCO 2005

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

    13th European Signal Processing Conference, EUSIPCO 2005

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

    IEEE Workshop on Statistical Signal Processing Proceedings

  4. 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)

2004

  1. Non-linear filtering of ultrasonic signals using neural networks

    Ultrasonics