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Grassmannian Fusion Frames for Block Sparse Recovery and Its Application to Burst Error Correction
(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 ...
Fusion of Sparse Reconstruction Algorithms in Compressed Sensing
(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 ...