Abstract:Wideband spectrum sensing (WSS) is a significant challenge in cognitive radios (CRs) due to requirement of very high-speed analog-to-digital converters (ADCs), operating at or above the Nyquist rate. To alleviate the need for high sampling rates, compressed sensing can be applied to WSS. Compressed sensing is a signal processing technique to recover high dimensional signals from a fewer measurements than conventional sampling theory demands. In compressed sensing, the superior algorithms are the ones that can … Show more
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