Compressed Sensing in Information Processing

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This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approaches to deep learning, bilinear compressed sensing - efficiency, structure, and robustness, structured compressive sensing via neural network learning, compressed sensing for massive MIMO, and security of future communication and compressive sensing.