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[1] David L. Donoho,et al. Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications , 2008, Discret. Comput. Geom..
[2] Konstantinos Drakakis,et al. A review of the available construction methods for Golomb rulers , 2009, Adv. Math. Commun..
[3] Cormac Herley,et al. Minimum rate sampling and reconstruction of signals with arbitrary frequency support , 1999, IEEE Trans. Inf. Theory.
[4] Stephen A. Dyer,et al. Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..
[5] Matthias Hein,et al. Robust sparse recovery with non-negativity constraints , 2011 .
[6] E. Masry,et al. Discrete-time spectral estimation of continuous-parameter processes - A new consistent estimate , 1976, IEEE Trans. Inf. Theory.
[7] Ping Feng,et al. Universal Minimum-Rate Sampling and Spectrum-Blind Reconstruction for Multiband Signals , 1998 .
[8] Yonina C. Eldar,et al. From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.
[9] Jian Li,et al. New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data , 2011, IEEE Transactions on Signal Processing.
[10] Elias Masry,et al. Poisson sampling and spectral estimation of continuous-time processes , 1978, IEEE Trans. Inf. Theory.
[11] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[12] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[13] John S. Thompson,et al. Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals , 2011, IEEE Transactions on Signal Processing.
[14] Jian Li,et al. SPICE: A Sparse Covariance-Based Estimation Method for Array Processing , 2011, IEEE Transactions on Signal Processing.
[15] C. T. Mullis,et al. Quadratic Estimators of the Power Spectrum , 1989 .
[16] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[17] Michael Elad,et al. On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations , 2008, IEEE Transactions on Information Theory.
[18] Don H. Johnson,et al. Array Signal Processing: Concepts and Techniques , 1993 .
[19] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[20] G. Leus,et al. Wideband power spectrum sensing using sub-Nyquist sampling , 2011, 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications.
[21] Justin K. Romberg,et al. Compressive Sensing by Random Convolution , 2009, SIAM J. Imaging Sci..
[22] Mike E. Davies,et al. Iterative Hard Thresholding for Compressed Sensing , 2008, ArXiv.
[23] Yonina C. Eldar,et al. Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals , 2007, IEEE Transactions on Signal Processing.
[24] Andrzej Tarczynski,et al. Optimal random sampling for spectrum estimation in DASP applications , 2005 .
[25] Geert Leus,et al. Power Spectrum Blind Sampling , 2011, IEEE Signal Processing Letters.
[26] Bashar I. Ahmad,et al. Reliable wideband multichannel spectrum sensing using randomized sampling schemes , 2010, Signal Process..
[27] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[28] Geert Leus,et al. Multi-coset sampling for power spectrum blind sensing , 2011, 2011 17th International Conference on Digital Signal Processing (DSP).
[29] Justin K. Romberg,et al. Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.
[30] Frederick J. Beutler,et al. Alias-free randomly timed sampling of stochastic processes , 1970, IEEE Trans. Inf. Theory.
[31] John G. Proakis,et al. Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..
[32] Y. Bresler. Spectrum-blind sampling and compressive sensing for continuous-index signals , 2008, 2008 Information Theory and Applications Workshop.
[33] D. Donoho,et al. Sparse nonnegative solution of underdetermined linear equations by linear programming. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[34] Unto K. Laine,et al. Splitting the Unit Delay - Tools for fractional delay filter design , 1996 .
[35] Yoram Bresler,et al. Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals , 2000, IEEE Trans. Inf. Theory.
[36] P. P. Vaidyanathan,et al. Efficient reconstruction of band-limited sequences from nonuniformly decimated versions by use of polyphase filter banks , 1990, IEEE Trans. Acoust. Speech Signal Process..
[37] Ping Feng,et al. Spectrum-blind minimum-rate sampling and reconstruction of multiband signals , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[38] M. Rudelson,et al. On sparse reconstruction from Fourier and Gaussian measurements , 2008 .
[39] Georgios B. Giannakis,et al. Compressed Sensing for Wideband Cognitive Radios , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[40] Elias Masry,et al. Alias-free sampling: An alternative conceptualization and its applications , 1978, IEEE Trans. Inf. Theory.