Blind multiband signal reconstruction: compressed sensing for analog signals
IEEE Transactions on Signal Processing
Multirate synchronous sampling of sparse multiband signals
IEEE Transactions on Signal Processing
Beyond Nyquist: efficient sampling of sparse bandlimited signals
IEEE Transactions on Information Theory
Regularized sampling of multiband signals
IEEE Transactions on Signal Processing
Weighted PNS sequences for digital alias-free processing signals
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
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We propose a universal sampling pattern and corresponding reconstruction algorithms that guarantee well-conditioned reconstruction of all multiband signals with a given spectral occupancy bound without prior knowledge of the spectral support. It is shown that such a universal sampling pattern can asymptotically achieve the Nyquist-Landau (1957) minimal sampling rate. Also, the new design method replaces the nonaliasing or packability criterion for a reconstructive sampling pattern with a more lenient criterion, allowing reconstruction of signals aliased by sampling.