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For both radar processing and medical imaging applications, backprojection provides a method for reconstructing an image from the data that are collected by the transceiver.
The method involves reconstructing an image of internal anomalies from measurements made at the outer surface.
The basic method of reconstructing an image of the inside of an obstacle consists of sampling the scattered signals and using backward projection (BP) algorithms to remove ambiguities in the location of objects, which scatter the probing signal.
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The main idea of collaborative reconstruction is to reconstruct an image block by the collaboration of a group of other blocks sharing similar structures to it, therefore more information is made use for individual blocks than their own measurements.
604 k-t FOCUSS 4.8 SENSE 2.4 GRAPPA 39.7 Comparison of image reconstruction times of different methods to reconstruct an image corresponding to a time frame.
Due to the massive amount of data generated in radar imaging, a MIMO FIR receiver that reconstructs an image at a fast rate can be highly desirable.
Mathematical image reconstruction techniques can be used to exploit this and reconstruct an image.
With correct processing, we can reconstruct an image of a stripe of the seafloor, making a map as the ship advances through the water.
With careful and clever processing, we can use these echoes from beneath the seafloor to reconstruct an image of the rock stratification below the seafloor.
The cells detect subtle water movements, and from the different times that the individual cells are stimulated by these movements the fish's brain is able to reconstruct an image of what caused them in the first place.
Neural networks have some applications in computerized tomography, in particular to reconstruct an image from projections.
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