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Advances in Time Frequency and Array Processing of Nonstationary Signals

Edited by: Karim Abed-Meraim, Adel Belouchrani, Boualem Boashash and Shoji Makino

  1. Research

    Contribution of statistical tests to sparseness-based blind source separation

    We address the problem of blind source separation in the underdetermined mixture case. Two statistical tests are proposed to reduce the number of empirical parameters involved in standard sparseness-based unde...

    Si Mohamed Aziz-Sbaï, Abdeldjalil Aïssa-El-Bey and Dominique Pastor

    EURASIP Journal on Advances in Signal Processing 2012 2012:169

    Published on: 16 August 2012

  2. Research

    Time-varying bispectral analysis of visually evoked multi-channel EEG

    Theoretical foundations of higher order spectral analysis are revisited to examine the use of time-varying bicoherence on non-stationary signals using a classical short-time Fourier approach. A methodology is ...

    Vinod Chandran

    EURASIP Journal on Advances in Signal Processing 2012 2012:140

    Published on: 12 July 2012

  3. Research

    Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context

    The latest developments in Markov models’ theory and their corresponding computational techniques have opened new rooms for image and signal modeling. In particular, the use of Dempster–Shafer theory of eviden...

    Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski and Amar Aïssani

    EURASIP Journal on Advances in Signal Processing 2012 2012:134

    Published on: 9 July 2012

  4. Research

    A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals

    This article presents a general methodology for processing non-stationary signals for the purpose of classification and localization. The methodology combines methods adapted from three complementary areas: ti...

    Boualem Boashash, Larbi Boubchir and Ghasem Azemi

    EURASIP Journal on Advances in Signal Processing 2012 2012:117

    Published on: 29 May 2012

  5. Research

    Compressive sampling of swallowing accelerometry signals using time-frequency dictionaries based on modulated discrete prolate spheroidal sequences

    Monitoring physiological functions such as swallowing often generates large volumes of samples to be stored and processed, which can introduce computational constraints especially if remote monitoring is desir...

    Ervin Sejdić, Azime Can, Luis F Chaparro, Catriona M. Steele and Tom Chau

    EURASIP Journal on Advances in Signal Processing 2012 2012:101

    Published on: 4 May 2012

  6. Research

    Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy

    The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its componen...

    Victor Sucic, Nicoletta Saulig and Boualem Boashash

    EURASIP Journal on Advances in Signal Processing 2011 2011:125

    Published on: 7 December 2011