An Enhanced Subsampling Technique in Compressive Sensing using Linear Interpolation and Random Measurement Matrix
Franco Osei-Wusu,
Emmanuel Ahene,
Siddique Abubakr Muntaka
Abstract:In Compressive Sensing, the incoherence of a measurement matrix during subsampling is a crucial requirement for the accurate reconstruction of a signal. However, such incoherence is only probable and not assured when subsampling is done with the widely used random measurement matrix. The study proposes an enhanced subsampling technique that integrates linear interpolation with the conventional random measurement matrix to provide assured incoherence during subsampling in Compressive Sensing. The experiments sh… Show more
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