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Soft computing based compressive sensing techniques in signal processing: A comprehensive review
2020
Journal of Intelligent Systems
In this modern world, a massive amount of data is processed and broadcasted daily. This includes the use of high energy, massive use of memory space, and increased power use. In a few applications, for example, image processing, signal processing, and possession of data signals, etc., the signals included can be viewed as light in a few spaces. The compressive sensing theory could be an appropriate contender to manage these limitations. "Compressive Sensing theory" preserves extremely helpful
doi:10.1515/jisys-2019-0215
fatcat:2fgbjetkvbaf5l3nrrzenvsjea