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                                         Conference on Nonlinear Elasticity and Materials, Aix en
Provence, France, June (2008).
16 For more information contact author M.J.R. Electronic mail:
mroan@vt.edu.
17 M. Lebold, K. McClintic, R. Campbell, C. Byington, and K.
Maynard, “Review of vibration analysis methods for gearbox diagnostics and prognostics,” in Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, 623–634 (2000).
18 J. E. Nicks and G. Krishnappa, “Gear fault detection using mod- ulation analysis techniques,” IMechE Conference Transactions: 2nd International Conference on Gearbox Noise, Vibration and Diagnostics, May1995, 81–89.
19 W. J. Wang and P. D. McFadden, “Early detection of gear failure by vibration analysis,” Mech. Sys. and Signal Process. 7, 193–203 (1993).
20 A. J. Miller, “A new wavelet basis for the decomposition of gear motion error signals and its application to gearbox diagnostics,” M.S. thesis, The Graduate School of The Pennsylvania State University (1999).
21 M. J. Roan, J. Erling, and L.H. Sibul, “A new, non-linear, blind source separation algorithm for gear tooth failure analysis,” J. Mech. Systems and Signal Process. 16(5), 719–740 (2002).
22 For more information contact authors B.G.F. and K.W.L. Electronic mail: Brian.Ferguson@dsto.defence.gov.au, Kam.Lo@dsto.defence.gov.au
23 A. D. Pierce, Acoustics – An Introduction to Its Physical Principles and Applications (Acoustical Society of America, Melville, NY, 1994) pp. 606–615.
24 B. G. Ferguson, “Variability in the passive ranging of acoustic sources in air using a wavefront curvature technique,” J. Acoust. Soc. Am. 108(4), 1535–1544 (2000).
25 K. W. Lo and B. G. Ferguson, “A ballistic model-based method for ranging direct fire weapons using the acoustic muzzle blast and shock wave,” Proceedings of the 2008 Intelligent Sensors, Sensor Networks and Information Processing Conference, CD ISBN: 978-1-4244-2957-8. pp. 453–458.
26 K. W. Lo and B. G. Ferguson, “Acoustic methods for localizing small arms fire,” J. Acoust. Soc. Am. (submitted September 2011).
 mission in the ocean,” Radio and Electrical Engineering 29,
223–228 (1965).
5 K. G. Sabra, P. Roux, H.-C. Song, W. S. Hodgkiss, W. A.
Kuperman, T. Akal, and J. M. Stevenson, “Experimental demon- stration of iterative time-reversed reverberation focusing in a rough waveguide. Application to target detection,” J. Acoust. Soc. Am. 120(3), 1305–1314 (2006).
6 H.-C. Song, J. S. Kim, W. S. Hodgkiss, W. A. Kuperman, and M. Stevenson, “High-rate multiuser communications in shallow water,” J. Acoust. Soc. Am. 128(5), 2920–2925 (2010).
7 H.-C. Song, W. S. Hodgkiss, and P. A. van Walree, “Phase-coher- ent communications without explicit phase tracking,” J. Acoust. Soc. Am. 128(3), 969–972 (2010).
8 J. L. Robert and M. Fink, “Green’s function estimation in speck- le using the decomposition of the time reversal operator: Application to aberration correction in medical imaging,” J. Acoust. Soc. Am. 123(2), 866–877 (2008).
9 S. Dos Santos and Z. Prevorovsky, “Imaging of human tooth using ultrasound based chirp-coded nonlinear time reversal acoustics,” Ultrasonics 51(6), 667–674 (2011).
10 B. E. Anderson, M. Griffa, T. J. Ulrich, P.-Y. Le Bas, R. A. Guyer, and P. A. Johnson, “Crack localization and characterization in solid media using time reversal techniques,” American Rock Mechanics Association, #10–154 (2010).
11 B. E. Anderson, M. Griffa, P.-Y. Le Bas, T. J. Ulrich, and P. A. Johnson, “Experimental implementation of reverse time migra- tion for nondestructive evaluation applications,” J. Acoust. Soc. Am. Express Lett. 129(1), EL8–EL14 (2011).
12 C. Larmat, R. A. Guyer, and P. A. Johnson, “Tremor source loca- tion using time reversal: Selecting the appropriate imaging field,” Geophysical Research Lett. 36, L22304 (2009).
13 C. Larmat, R. A. Guyer, and P. A. Johnson, “Time reversal meth- ods in seismology,” Physics Today 63(8), 31–35 (2010).
14 T. J. Ulrich, M. Griffa, and B. E. Anderson, “Symmetry-based imaging condition in time reversed acoustics,” J. Applied Physics 104(6), 064912 (2008).
15 B. E. Anderson, M. Griffa, L. Huang, P. A. Johnson, P.-Y. Le Bas, and T. J. Ulrich, “A comparison of time reversal imaging tech- niques of two dimensional samples,” XIII International
  David H. Chambers received a Bachelor’s of Science in physics in 1980, and subsequently a Master’s in physics and a Bachelor’s in mechanical engineering in 1982, all from Washington University in St. Louis. He received a Ph.D. in Theoretical and Applied Mechanics with an emphasis in Applied Mathematics in 1988 from the University of Illinois Urbana-Champaign. Since then he has been a physicist and electrical engineer at Lawrence Livermore National Laboratory. Over his career, he has published articles in many
technical areas including laser propagation through turbu- lence, evaluation of techniques for extracting coherent struc- ture information from turbulent fluid flows, signal processing of dispersive waves, and acoustic time reversal. He is present- ly working on radar imaging and detection, nondestructive evaluation, and signal processing models of radiation trans- port. He is a Fellow of the Acoustical Society of America. In his spare time he enjoys hiking and exploring the beach with his family (pictured).
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