1VECCHIO M, LOPEZ-VALCARCE R, MARCELLONI F. A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks[J]. Applied Soft Computing,2012,12(7):1891-1901.
2LAN F,AKYILDIZ L F, VURAN M C. Wireless sensor networks[M]. Hoboken: John Wiley and Sons, 2010:46-49.
3CANDES E J,ROMBERG J,TAO T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. Information Theory, 2006, 52(2):489-509.
4CANDES E,TAO T. Near optimal signal recovery from random projections and universal encoding strategies[J].IEEE Transactions on lnformation Theory, 2006, 52(12) :5406-5425.
5DONOHO D,TSAIG Y.Extensions of compressed sensing[J].Signal Processing,2006,86(3): 533-548.
6CANDES E.The restricted isometry property and its implications for compressed sensing[J]. Comptes Rendus Mathematique,2008,346(9/10):589-592.
7DEVORE V.Deterministic constructions of compressed sensing matrices[J]. Journal of Complexity,2007,23(4/5/6):918-925.
8RAUHUT H. Circulant and Toeplitz matrices in compressed sensing[C/OL].[2015-06-01]. http://arxiv.org/pdf/0902.4394.pdf.
9DONOHO D L, ELAD M. Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization[J]. Proceedings of the National Academy of Sciences, 2003, 100(5): 2197-2202.
10CANDèS E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.