Curtis Jin

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We develop a physically-realizable algorithm for increasing transmission through a random medium using backscatter analysis. We analyze the algorithm's rate of convergence and show via numerical simulations that it converges rapidly, yielding a near-optimum wavefront in just a few iterations.
Scattering hinders the passage of light through random media and consequently limits the usefulness of optical techniques for sensing and imaging. Thus, methods for increasing the transmission of light through such random media are of interest. Against this backdrop, recent theoretical and experimental advances have suggested the existence of a few highly(More)
Recent theoretical and experimental advances have shed light on the existence of so-called "perfectly transmitting" wavefronts with transmission coefficients close to 1 in strongly backscattering random media. These perfectly transmitting eigen-wavefronts can be synthesized by spatial amplitude and phase modulation. Here, we consider the problem of(More)
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