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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 for spatial compression and projection; and efficient methods to sample and reconstruct the images in resource constrained WMSN environment.
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