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| Paper Type | : | Research Paper |
| Title | : | Two Approaches To Compressive Sensing With Differentiated Acquisition And Reconstruction |
| Country | : | |
| Authors | : | Sarobidy Nomenjanahary Razafitsalama Fin Luc|| Nirina Alain Andrianaivondriaka || Marie Emile Randrianandrasana |
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: | 10.9790/4200-15050110  |
ABSTRACT: This document presents two distinct approaches to compressive sensing for the acquisition and reconstruction of non-sparse signals. The first approach directly compresses the original signal using a measurement matrix, while the second approach first transforms the signal into a sparse representation before compression. The reconstruction phases employ the Orthogonal Matching Pursuit (OMP) algorithm to solve the minimization problem. The quality of reconstruction is evaluated using the Mean Squared Error (MSE), with both visual and numerical comparisons for different measurement sizes......
Key Word: Compressive sensing, sparse signal, Orthogonal Matching Pursuit, Mean Squared Error
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