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Sparse Signal Processing

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

  1. Research

    Sparse covariance fitting for direction of arrival estimation

    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 ...

    Luis Blanco and Montse Nájar

    EURASIP Journal on Advances in Signal Processing 2012 2012:111

    Published on: 17 May 2012

  2. Research

    Subspace weighted 2,1 minimization for sparse signal recovery

    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...

    Chundi Zheng, Gang Li, Yimin Liu and Xiqin Wang

    EURASIP Journal on Advances in Signal Processing 2012 2012:98

    Published on: 2 May 2012

  3. Editorial

    Editorial

    Farokh Marvasti, Ali Mohammad-Djafari and Jonathon Chambers

    EURASIP Journal on Advances in Signal Processing 2012 2012:90

    Published on: 26 April 2012

  4. Research

    Using learned under-sampling pattern for increasing speed of cardiac cine MRI based on compressive sensing principles

    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...

    Pooria Zamani, Mohammad Kayvanrad and Hamid Soltanian-Zadeh

    EURASIP Journal on Advances in Signal Processing 2012 2012:82

    Published on: 13 April 2012

  5. Research

    Adaptive matching pursuit with constrained total least squares

    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...

    Tianyao Huang, Yimin Liu, Huadong Meng and Xiqin Wang

    EURASIP Journal on Advances in Signal Processing 2012 2012:76

    Published on: 4 April 2012

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

  6. Research

    Group lassoing change-points in piecewise-constant AR processes

    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 ...

    Daniele Angelosante and Georgios B Giannakis

    EURASIP Journal on Advances in Signal Processing 2012 2012:70

    Published on: 21 March 2012

  7. Research

    Impulsive noise rejection method for compressed measurement signal in compressed sensing

    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...

    Parichat Sermwuthisarn, Duangrat Gansawat, Vorapoj Patanavijit and Supatana Auethavekiat

    EURASIP Journal on Advances in Signal Processing 2012 2012:68

    Published on: 20 March 2012

  8. Research

    Sparse multidimensional modal analysis using a multigrid dictionary refinement

    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...

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

    EURASIP Journal on Advances in Signal Processing 2012 2012:60

    Published on: 8 March 2012

  9. Research

    OFDM pilot allocation for sparse channel estimation

    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...

    Pooria Pakrooh, Arash Amini and Farokh Marvasti

    EURASIP Journal on Advances in Signal Processing 2012 2012:59

    Published on: 8 March 2012

  10. Review

    A unified approach to sparse signal processing

    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...

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

    EURASIP Journal on Advances in Signal Processing 2012 2012:44

    Published on: 22 February 2012

  11. Research

    Parameter estimation for SAR micromotion target based on sparse signal representation

    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...

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

    EURASIP Journal on Advances in Signal Processing 2012 2012:13

    Published on: 18 January 2012