Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

@article{Mishali2009BlindMS,
  title={Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals},
  author={M. Mishali and Yonina C. Eldar},
  journal={IEEE Transactions on Signal Processing},
  year={2009},
  volume={57},
  pages={993-1009}
}
  • M. Mishali, Yonina C. Eldar
  • Published 2009
  • Mathematics, Computer Science, Physics
  • IEEE Transactions on Signal Processing
  • We address the problem of reconstructing a multiband signal from its sub-Nyquist pointwise samples, when the band locations are unknown. Our approach assumes an existing multi-coset sampling. To date, recovery methods for this sampling strategy ensure perfect reconstruction either when the band locations are known, or under strict restrictions on the possible spectral supports. In this paper, only the number of bands and their widths are assumed without any other limitations on the support. We… CONTINUE READING
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    References

    SHOWING 1-10 OF 54 REFERENCES
    Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals
    • Y. Bresler, Ping Feng
    • Mathematics, Computer Science
    • Proceedings of 3rd IEEE International Conference on Image Processing
    • 1996
    • 72
    Spectrum-blind reconstruction of multi-band signals
    • M. Mishali, Yonina C. Eldar
    • Mathematics, Computer Science
    • 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
    • 2008
    • 11
    • PDF
    Minimum rate sampling and reconstruction of signals with arbitrary frequency support
    • 135
    • PDF
    Further results on spectrum blind sampling of 2D signals
    • R. Venkataramani, Y. Bresler
    • Mathematics, Computer Science
    • Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
    • 1998
    • 70
    • PDF
    Spectrum-blind minimum-rate sampling and reconstruction of multiband signals
    • P. Feng, Y. Bresler
    • Mathematics, Computer Science
    • 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings
    • 1996
    • 309
    A Theory for Sampling Signals From a Union of Subspaces
    • Yue M. Lu, M. Do
    • Computer Science, Mathematics
    • IEEE Transactions on Signal Processing
    • 2008
    • 275
    • PDF
    Compressed Sensing of Analog Signals in Shift-Invariant Spaces
    • Yonina C. Eldar
    • Mathematics, Computer Science
    • IEEE Transactions on Signal Processing
    • 2009
    • 158
    • PDF
    Robust Recovery of Signals From a Structured Union of Subspaces
    • 867
    • PDF
    Random Filters for Compressive Sampling and Reconstruction
    • 290
    • PDF
    Robust Recovery of Signals From a Union of Subspaces
    • 81
    • PDF