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Recently, compressed sensing (CS) is of major interest in the area of communication and measurement. CS technique is a subtle mathematical application in practice, which facilitates the signal acquisition and signal processing dramatically. It consists of the two phases: signal projection and signal recovery. Regarding the signal recovery often it is an l1 optimization process in terms of a sparse...
During decades microwave imaging technology has achieved remarkable progress, and at the same time encountered increasing complexity in system implementation. Recently, the sparse systems, where the compressed sensing (CS) is applied, introduce the sparse signal processing theory to radar imaging to obtain a new system methodology of microwave imaging and facilitate the burden of computing large-scale...
In order to maintain the theoretical limit of resolution in acoustic imaging for noisy data gathered in a material examination application we propose the application of compressed sensing (CS) on the reconstructed image. CS will mitigate the effects of noise in the reconstruction process and enable the extraction of location and estimated size of scatters to enhance the initial velocity model.
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