References
- Harrington RF. Field computation by moment methods. New York (NY): Macmillan; 1968.
- Engheta N, Murphy WD, Rokhlin V. The fast multipole method (FMM) for electromagnetic scattering problems. IEEE Trans. Antennas Propag. 1992;40:634–641.10.1109/8.144597
- Coifman R, Rokhlin V. The fast multiple method for the wave equation: a pedestrian prescription. IEEE Antennas Propag. Mag. 1993;35:7–12.10.1109/74.250128
- Canning FX. Improved impedance matrix localization method (EM problems). IEEE Trans. Antennas Propag. 1993;41:659–667.10.1109/8.222285
- Steinberg BZ, Leviatan Y. On the use of wavelet expansions in the method of moments (EM scattering). IEEE Trans. Antennas Propag. 1993;41:610–619.10.1109/8.222280
- Jorgensen E, Volakis JL, Meincke P, Breinbjerg O. Higher order hierarchical Legendre basis functions for electromagnetic modeling. IEEE Trans. Antennas Propag. 2004;52:2985–2995.10.1109/TAP.2004.835279
- Wang Z, Wang BZ. Application of compressed sensing theory in the method of moments. Acta Phys. Sin. 2014;63:120202-1–120202-7.
- Wang Z, Wang BZ, Tan MT. Use of compressed sensing in analysis of electric field integral equation by the method of moments. In: Antennas and Propagation Society International Symposium (APSURSI), 2014. Memphis: IEEE; 2014. p. 2000–2001.
- Donoho DL. Compressed sensing. IEEE Trans. Inf. Theory. 2006;52:1289–1306.10.1109/TIT.2006.871582
- Baraniuk RG. Compressive sensing. IEEE Signal Process Mag. 2007;24:118–121.10.1109/MSP.2007.4286571
- Zhao DS, Wu F, Wang BZ, Jin Y. Basis function selection for compressed sensing and sparse representations of pulsed radar echoes. J. Electromagn. Waves Appl. 2013;27: 2330–2340.10.1080/09205071.2013.847386
- Tao T. An uncertainty principle for cyclic groups of prime order. Math. Res. Lett. 2005;12:121–127.10.4310/MRL.2005.v12.n1.a11
- Candès EJ. The restricted isometry property and its implications for compressed sensing. C.R. Math. 2008;346:589–592.10.1016/j.crma.2008.03.014
- Baraniuk RG, Davenport MA, DeVore R, Wakin MB. A simple proof of the restricted isometry property for random matrices. Construct. Approx. 2008;28:253–263.10.1007/s00365-007-9003-x
- Kutyniok G. Compressed sensing: theory and applications. CoRR. 2012; abs/1203.3815.
- Pati YC, Rezaiifar R, Krishnaprasad PS. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition. In: Proceedings of the 27th Annual Asilomar Conference on Signals, Systems, and Computers. Vol. 1, Pacific Grove, CA; 1993. p. 40–44.
- Tropp JA, Gilbert A. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory. 2007;53:4655–4666.10.1109/TIT.2007.909108
- Chen MS, Liu FL, Du HM, Wu XL. Compressive sensing for fast analysis of wide-angle monostatic scattering problems. IEEE Antennas Wirel. Propag. Lett. 2011;10:1243–1246.10.1109/LAWP.2011.2174190
- Wagner RL, Chew WC. A study of wavelets for the solution of electromagnetic integral equations. IEEE Trans. Antennas Propag. 1995;43:802–810.10.1109/8.402199
- Baharav Z, Leviatan Y. Impedance matrix compression with the use of wavelet expansions. Microwave Opt. Technol. Lett. 1996;12:268–272.10.1002/(ISSN)1098-2760
- Baharav Z, Leviatan Y. Impedance matrix compression (IMC) using iteratively selected wavelet basis. IEEE Trans. Antennas Propag. 1998;46:226–233.10.1109/8.660967