12 citations · 22 across the 5 of their papers we have counts for
5 papers
Spectral Super-resolution With Prior Knowledge
Kumar Vijay Mishra, Myung Cho, Anton Kruger +1
We address the problem of super-resolution frequency recovery using prior knowledge of the structure of a spectrally sparse, undersampled signal. In many applications of interest,…
Compressed Sensing Applied to Weather Radar
Kumar Vijay Mishra, Anton Kruger, Witold F. Krajewski
We propose an innovative meteorological radar, which uses reduced number of spatiotemporal samples without compromising the accuracy of target information. Our approach extends rec…
Super-resolution Line Spectrum Estimation with Block Priors
Kumar Vijay Mishra, Myung Cho, Anton Kruger +1
We address the problem of super-resolution line spectrum estimation of an undersampled signal with block prior information. The component frequencies of the signal are assumed to t…
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional () Off-the-Grid Frequencies
Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra +2
Recent research in off-the-grid compressed sensing (CS) has demonstrated that, under certain conditions, one can successfully recover a spectrally sparse signal from a few time-dom…
Off-The-Grid Spectral Compressed Sensing With Prior Information
Kumar Vijay Mishra, Myung Cho, Anton Kruger +1
Recent research in off-the-grid compressed sensing (CS) has demonstrated that, under certain conditions, one can successfully recover a spectrally sparse signal from a few time-dom…