Partially Known Support

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Modified-CS: Modifying Compressive Sensing for Problems ...

    http://www.ece.iastate.edu/~namrata/modcs_preprint.pdf
    Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support Namrata Vaswani and Wei Lu ECE Dept., Iowa State University, Ames, IA 50011, USA, Email: [email protected] Abstract—We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known.

Modified-CS: Modifying Compressive Sensing for Problems ...

    https://arxiv.org/pdf/0903.5066.pdf
    Problems with Partially Known Support Namrata Vaswani and Wei Lu Abstract—We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some errors. The “known” part of the support, denoted T, may be available from prior ...

Nonconvex compressed sensing with partially known signal ...

    https://www.sciencedirect.com/science/article/pii/S0165168412002411
    We study recovering sparse and compressible signals using l p minimization with p < 1 when some part of the support of the signal is known a priori. Sparse reconstruction method based on l p minimization with partially known set is proposed and recovery conditions are given. Theoretical results show that l p minimization with partially known support is stable and robust.Cited by: 24

Signal Space CoSaMP for sparse recovery with partially ...

    https://ieeexplore.ieee.org/document/7574795/
    Under the assumption that the signal of interest, with some known locations of the nonzero coefficients, has a sparse representation under some redundant dictionaries, we modify the Signal Space CoSaMP algorithm by incorporating the partially known support into the recovery process.Author: Shiying He, Yao Wang, Jianjun Wang

Joint Sparsity With Partially Known Support and ...

    https://ieeexplore.ieee.org/document/8531673/
    Nov 12, 2018 · Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging Abstract: We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of several joint ...Author: Adrien Besson, Dimitris Perdios, Yves Wiaux, Jean-Philippe Thiran

Iterative algorithm for compressed sensing with partially ...

    https://www.researchgate.net/publication/220736174_Iterative_algorithm_for_compressed_sensing_with_partially_know_support
    Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS.

Compressed-Sensing Dynamic MR Imaging with Partially Known ...

    https://www.researchgate.net/publication/49626901_Compressed-Sensing_Dynamic_MR_Imaging_with_Partially_Known_Support
    Assuming partially known support information, the authors of [28] also propose a modification to ℓ 1 -minimization similar to [39] and provide experimental results in the application of dynamic ...

OSA Compressed-sensing photoacoustic computed tomography ...

    https://www.osapublishing.org/oe/abstract.cfm?uri=oe-20-15-16510
    Compressed sensing (CS) can recover sparse signals from under-sampled measurements. In this work, we have developed an advanced CS framework for photoacoustic computed tomography (PACT). During the reconstruction, a small part of the nonzero signals’ locations in the transformed sparse domain is used as partially known support (PKS). PACT reconstructions have been performed with under ...

A short note on compressed sensing with partially known ...

    https://www.sciencedirect.com/science/article/pii/S0165168410002276
    This short note studies a variation of the compressed sensing paradigm introduced recently by Vaswani et al., i.e., the recovery of sparse signals from a certain number of linear measurements when the signal support is partially known.Cited by: 122

Iterative algorithms for compressed sensing with partially ...

    https://www.academia.edu/11098297/Iterative_algorithms_for_compressed_sensing_with_partially_known_support
    Iterative algorithms for compressed sensing with partially known support



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