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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. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:169

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  2. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:134

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  3. Content type: Research

    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...

    Authors: Boualem Boashash, Larbi Boubchir and Ghasem Azemi

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:117

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  4. Content type: Research

    A novel method is proposed to improve the performance of independent vector analysis (IVA) for blind signal separation of acoustic mixtures. IVA is a frequency-domain approach that successfully resolves the we...

    Authors: Intae Lee and Gil-Jin Jang

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:113

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  5. Content type: Research

    In this article, we consider the joint estimation of direction-of-departure (DOD) and direction-of-arrival (DOA) information of maneuvering targets in a bistatic multiple-input multiple-output (MIMO) radar sys...

    Authors: Yimin D. Zhang, Moeness G. Amin and Braham Himed

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:102

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  6. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:101

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  7. Content type: Research

    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...

    Authors: Victor Sucic, Nicoletta Saulig and Boualem Boashash

    Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:125

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