[1] Devaney A J. Super-resolution processing of multi-static data using time reversal and MUSIC.
http://www.ece.neu.edu/faculty/devaney/ajd/preprints.htm

[2] Devaney A J, Marengo E A, Gruber F K. Time-reversal-based imaging and inverse scattering of multiply scattering point targets. J Acoust Soc Am, 2005, 118: 3129–3138

[3] Kirsch A. The MUSIC algorithm and the factorization method in inverse scattering theory for inhomoge-neous media. Inverse Problems, 2002, 18: 1025–1040

[4] Prada C, Manneville S, Spoliansky D, Fink M. Decomposition of the time reversal operator: Detection and selective focusing on two scatterers. J Acoust Soc Am, 1996, 99: 2067–2076

[5] Colton D, Kress R. Inverse Acoustic and Electromagnetic Scattering Theory. 2nd ed. Berlin: Springer, 1998

[6] Colton D, Monk P. A linear sampling method for the detection of leukemia using microwaves. SIAM J Appl Math, 1998, 58: 926–941

[7] Duffy D G. Green’s Functions with Applications. Chapman & Hall/CRC, 2001

[8] Cakoni F, Colton D. Qualitative Methods in Inverse Scattering Theory. Berlin: Springer, 2006

[9] Ammari H, Iakovleva E, Moskow S. Recovery of small inhomogeneities from the scattering amplitude at a fixed frequency. SIAM J Math Anal, 2003, 34: 882–900

[10] Ammari H, Iakovleva E, Lesselier D. AMUSIC algorithm for locating small inclusions buried in a half-space from the scattering amplitude at a fixed frequency. Multiscale Model Simul, 2005, 3: 597–628

[11] Ammari H, Iakovleva E, Lesselier D. Two numerical methods for recovering small inclusions from the scattering amplitude at a fixed frequency. SIAM J Sci Comput, 2005, 27: 130–158

[12] Ammari H, Iakovleva E, Lesselier D, Perruson G. MUSIC-type electromagnetic imaging of a collection of small three-dimensional bounded inclusions. SIAM J Sci Comput, 2007, 29: 674–709

[13] Ammari H, Griesmaier R, Hanke M. Identification of small inhomogeneities: Asymptotic factorization. Math Comput, 2007, 76: 1425–1448

[14] Ammari H, Kang H. Reconstruction of Small Inhomogeneities from Boundary Measurements. Berlin: Springer, 2004

[15] Dong H P, Ma F M. Reconstruction of the shape of object with near field measurements in a half-plane. Science in China Series A: Mathematics, 2008, 51: 1059–1070

[16] Cheney M. The linear sampling method and the MUSIC algorithm. Inverse Problems, 2001, 17: 591–595

[17] Fink M, Prada C. Acoustic time-reversal mirrors. Inverse Problems, 2001, 17: R1–R38

[18] Park W K, Lesselier D. MUSIC-type imaging of a thin penetrable inclusion from its multi-static response matrix. Inverse Problems, 2009, 25: 075002

[19] Park W K, Lesselier D. Electromagnetic MUSIC-Type Imaging of Perfectly Conducting, Arc-Like Cracks at Single Frequency. Journal of Computational Physics, 2009, 228(21): 8093–8111

[20] Chen X D, Zhong Y. MUSIC electromagnetic imaging with enhanced resolution for small inclusions. Inverse Problems, 2009, 25: 015008

[21] Hou S, Huang K, Sølna K, Zhao H. A phase and space coherent direct imaging method. J Acoust Soc Am, 2009, 125: 227–238

[22] Park W K. On the imaging of thin dielectric inclusions buried within a half-space. Inverse Problems, 2010, 26: 074008

[23] Ammari H. An Introduction to Mathematics of Emerging Biomedical Imaging. Mathematics and Appli-cations, Volume 62. Berlin: Springer, 2008

[24] Ammari H, Kang H, Kim E, Louati K, Vogelius M. A MUSIC-type algorithm for detecting internal corrosion from electrostatic boundary measurements. Numerische Mathematik, 2008, 108: 501–528

[25] Ammari H, Garnier J, Kang H, Park W K, Sølna K. Imaging schemes for perfectly conducting cracks. SIAM J Appl Math, 2011, 71: 68–91

[26] Ammari H, Garnier J, Sølna K. A statistical approach to optimal target detection and localization in the presence of noise. Waves in Random and Complex Media, 2012, 22(1): 40–65

[27] Liu Taiping, Zeng Yanni. On Green's function for hyperbolic-parabolic systems. Acta Mathematica Scientia, 2009, 29(6): 1556–1572