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Robust Processing of Nonstationary Signals

  1. Statistical modeling is at the heart of many engineering problems. The importance of statistical modeling emanates not only from the desire to accurately characterize stochastic events, but also from the fact ...

    Authors: Rafael E. Carrillo, Tuncer C. Aysal and Kenneth E. Barner
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:312989
  2. Many damages and faults can cause problems in gear unit operation. A crack in the tooth root is probably the least desirable among them. It often leads to failure of gear unit operation. By monitoring vibratio...

    Authors: Ales Belsak and Joze Flasker
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:879875
  3. In the 2.45 GHz band, indoor wireless off-body data communication by a moving person can be problematic due to time-variant signal fading and the consequent variation in channel parameters. Off-body communicat...

    Authors: Patrick Van Torre, Luigi Vallozzi, Hendrik Rogier, Marc Moeneclaey and Jo Verhaevert
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:978085
  4. We propose a niche Genetic algorithm (GA) for the two-dimensional (2D) harmonic retrieval in the presence of correlative zero-mean, multiplicative, and additive noise. Firstly, we introduce a 2D fourth-order t...

    Authors: Sun-Yong Wu, Gui-Sheng Liao and Zhi-Wei Yang
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:569371
  5. A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional. In order to suppress the staircasing effect and cu...

    Authors: Liang Xiao, Li-Li Huang and Badrinath Roysam
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:398410
  6. An outlier elimination algorithm for curve/surface fitting is proposed. This two-stage hybrid algorithm employs a proximity-based outlier detection algorithm, followed by a model-based one. First, a proximity ...

    Authors: Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni and HVincent Poor
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:154891
  7. This paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In...

    Authors: Alexey A. Roenko, Vladimir V. Lukin and Igor Djurović
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:595071
  8. This paper deals with configuration of an algorithm to be used in a speech-passing angle grinder noise-canceling headset. Angle grinder noise is annoying and interrupts ordinary oral communication. Meaning tha...

    Authors: Saeed Seyedtabaee and Hamze Moazami Goodarzi
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:395048
  9. We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index...

    Authors: Shamim Nemati, Atul Malhotra and Gari D. Clifford
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:926305
  10. A novel method for impulse noise suppression in images, based on the pixel-wise S-estimator, is introduced. The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not ...

    Authors: Vladimir Crnojević and NemanjaI Petrović
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:830702
  11. The robust time-frequency distributions with complex-lag argument are proposed. They can provide an accurate estimation of fast varying instantaneous frequency in the presence of noise with heavy-tailed probab...

    Authors: Nikola Žarić, Irena Orović and Srdjan Stanković
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:879874