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In this paper we present an approach for signal denoising using compressive sensing (CS) reconstruction algorithm. It has been known that the successful reconstruction of CS signals can be achieved using threshold based algorithm in the Fourier transform domain, based on just a small number of randomly chosen samples. The resulting signal has higher SNR compared to the input signal, which is used...
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