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    Fusion of Sparse Reconstruction Algorithms in Compressed Sensing 

    Ambat, Sooraj K (2018-06-08)
    Compressed Sensing (CS) is a new paradigm in signal processing which exploits the sparse or compressible nature of the signal to significantly reduce the number of measurements, without compromising on the signal reconstruction ...

    Grassmannian Fusion Frames for Block Sparse Recovery and Its Application to Burst Error Correction 

    Mukund Sriram, N (2018-05-01)
    Fusion frames and block sparse recovery are of interest in signal processing and communication applications. In these applications it is required that the fusion frame have some desirable properties. One such requirement ...

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    AuthorAmbat, Sooraj K (1)Mukund Sriram, N (1)Subject
    Signal Processing (2)
    Sparse Signal Processing (2)
    Block Sparse Recovery (1)Block Sparse Signal Recovery (1)Block Sparsity (1)Burst Error Correction (1)Burst Impulse Noise (1)Communication Engineering (1)Compressed Sensing (1)Compressed Sensing Reconstruction Algorithms (1)... View MoreDate Issued2018 (2)Has File(s)Yes (2)

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