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Sparse Signal Processing

Edited by: Jonathon Chambers, Farokh Marvasti and Ali Mohammad-Djafari

  1. Content type: Research

    This article proposes a new algorithm for finding the angles of arrival of multiple uncorrelated sources impinging on a uniform linear array of sensors. The method is based on sparse signal representation and ...

    Authors: Luis Blanco and Montse Nájar

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:111

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  2. Content type: Research

    In this article, we propose a weighted 2,1 minimization algorithm for jointly-sparse signal recovery problem. The proposed algorithm exploits the relationship between the noise subspace and the overcomplete basi...

    Authors: Chundi Zheng, Gang Li, Yimin Liu and Xiqin Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:98

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  3. Content type: Editorial

    Authors: Farokh Marvasti, Ali Mohammad-Djafari and Jonathon Chambers

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:90

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  4. Content type: Research

    This article presents a compressive sensing approach for reducing data acquisition time in cardiac cine magnetic resonance imaging (MRI). In cardiac cine MRI, several images are acquired throughout the cardiac...

    Authors: Pooria Zamani, Mohammad Kayvanrad and Hamid Soltanian-Zadeh

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:82

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  5. Content type: Research

    Compressive sensing (CS) can effectively recover a signal when it is sparse in some discrete atoms. However, in some applications, signals are sparse in a continuous parameter space, e.g., frequency space, rat...

    Authors: Tianyao Huang, Yimin Liu, Huadong Meng and Xiqin Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:76

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    The Erratum to this article has been published in EURASIP Journal on Advances in Signal Processing 2015 2015:81

  6. Content type: Research

    Regularizing the least-squares criterion with the total number of coefficient changes, it is possible to estimate time-varying (TV) autoregressive (AR) models with piecewise-constant coefficients. Such models ...

    Authors: Daniele Angelosante and Georgios B Giannakis

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:70

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  7. Content type: Research

    The Lorentzian norm of robust statistics is often applied in the reconstruction of the sparse signal from a compressed measurement signal in an impulsive noise environment. The optimization of the robust stati...

    Authors: Parichat Sermwuthisarn, Duangrat Gansawat, Vorapoj Patanavijit and Supatana Auethavekiat

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:68

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  8. Content type: Research

    We address the problem of multidimensional modal estimation using sparse estimation techniques coupled with an efficient multigrid approach. Modal dictionaries are obtained by discretizing modal functions (dam...

    Authors: Souleymen Sahnoun, El-Hadi Djermoune, Charles Soussen and David Brie

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:60

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  9. Content type: Research

    In communication systems, efficient use of the spectrum is an indispensable concern. Recently the use of compressed sensing for the purpose of estimating orthogonal frequency division multiplexing (OFDM) spars...

    Authors: Pooria Pakrooh, Arash Amini and Farokh Marvasti

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:59

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  10. Content type: Review

    A unified view of the area of sparse signal processing is presented in tutorial form by bringing together various fields in which the property of sparsity has been successfully exploited. For each of these fie...

    Authors: Farokh Marvasti, Arash Amini, Farzan Haddadi, Mahdi Soltanolkotabi, Babak Hossein Khalaj, Akram Aldroubi, Saeid Sanei and Janathon Chambers

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:44

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  11. Content type: Research

    According to the working mode of the ballistic missile warning radar (BMWR), the radar return from the BMWR is usually sparse. To recognize and identify the warhead, it is necessary to extract the precession f...

    Authors: Lihua Liu, Xiaoyong Du, Mounir Ghogho, Weidong Hu and Des McLernon

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:24

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  12. Content type: Research

    In this article, we address the parameter estimation of micromotion targets in synthetic aperture radar (SAR), where scattering parameters and micromotion parameters of targets are coupled resulting in a nonli...

    Authors: Sha Zhu, Ali Mohammad-Djafari, Hongqiang Wang, Bin Deng, Xiang Li and Junjie Mao

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:13

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  13. Content type: Research

    The iterative adaptive approach (IAA) can achieve accurate source localization with single snapshot, and therefore it has attracted significant interest in various applications. In the original IAA, the optima...

    Authors: Gang Li, Hao Zhang, Xiqin Wang and Xiang-Gen Xia

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:7

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  14. Content type: Research

    In this article, we consider the uniform circular arrays (UCAs) with the number of antenna elements insufficient to apply the traditional beamspace-based algorithms, which are labeled as sparse UCAs. For such ...

    Authors: Julan Xie, Zishu He, Huiyong Li and Jun Li

    Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:127

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