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An evidential comprehension and the substantial insights to analyze the clinical data has the maximum level of significance in the clinical decision-making (CDM) process. Many DM researchers have proven clustering methods are efficient, in looking up worthwhile critical information by describing important data classes. Finding optimized structuresof real-complex data is a challenging task. Parallel...
The purpose of this paper is to solve the imaging problems of one-stationary bistatic synthetic aperture radar (BiSAR) squint mode. Through the analysis of the target's two-dimensional spectrum, an improved chirp scaling algorithm (CSA) is got. It can deal with the space variability of this kind of BiSAR and the simulation is done to verify the validity and feasibility of this algorithm.
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