Compressive Sensing for Wireless Communication

Challenges and Opportunities

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Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applications Compressive Sensing for Wireless Communication provides: A clear insight into the basics of compressed sensing A thorough exploration of applying CS to audio, image and computer vision Different dimensions of applying CS in Cognitive radio networks CS in wireless sensor network...