04281nam 22006855 450 991061927650332120251113182125.03-031-09745-910.1007/978-3-031-09745-4(MiAaPQ)EBC7120434(Au-PeEL)EBL7120434(CKB)25181489100041(PPN)26585654X(OCoLC)1535978992(DE-He213)978-3-031-09745-4(EXLCZ)992518148910004120221020d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCompressed Sensing in Information Processing /edited by Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch1st ed. 2022.Cham :Springer International Publishing :Imprint: Birkhäuser,2022.1 online resource (549 pages)Applied and Numerical Harmonic Analysis,2296-5017Print version: Kutyniok, Gitta Compressed Sensing in Information Processing Cham : Springer International Publishing AG,c2022 9783031097447 Includes bibliographical references.Hierarchical compressed sensing (G. Wunder) -- Proof Methods for Robust Low-Rank Matrix Recovery (T. Fuchs) -- New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization (J. Maly) -- Sparse Deterministic and Stochastic Channels: Identification of Spreading Functions and Covariances (Dae Gwan Lee) -- Analysis of Sparse Recovery Algorithms via the Replica Method (A. Bereyhi) -- Unbiasing in Iterative Reconstruction Algorithms for Discrete Compressed Sensing (F.H. Fischer) -- Recovery under Side Constraints (M. Pesavento) -- Compressive Sensing and Neural Networks from a Statistical Learning Perspective (E. Schnoor) -- Angular Scattering Function Estimation Using Deep Neural Networks (Y. Song) -- Fast Radio Propagation Prediction with Deep Learning (R. Levie) -- Active Channel Sparsification: Realizing Frequency Division Duplexing Massive MIMO with Minimal Overhead (M. B. Khalilsarai) -- Atmospheric Radar Imaging Improvements Using Compressed Sensing and MIMO (J. O. Aweda) -- Over-the-Air Computation for Distributed Machine Learning and Consensus in Large Wireless Networks (M. Frey) -- Information Theory and Recovery Algorithms for Data Fusion in Earth Observation (M. Fornasier) -- Sparse Recovery of Sound Fields Using Measurements from Moving Microphones (A. Mertins) -- Compressed Sensing in the Spherical Near-Field to Far-Field Transformation (C. Culotta-López).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.Applied and Numerical Harmonic Analysis,2296-5017Harmonic analysisMathematicsData processingSignal processingImage processingAbstract Harmonic AnalysisComputational Mathematics and Numerical AnalysisDigital and Analog Signal ProcessingImage ProcessingHarmonic analysis.MathematicsData processing.Signal processing.Image processing.Abstract Harmonic Analysis.Computational Mathematics and Numerical Analysis.Digital and Analog Signal Processing.Image Processing.621.3678621.3822Kutyniok GittaRauhut HolgerKunsch Robert J.MiAaPQMiAaPQMiAaPQBOOK9910619276503321Compressed sensing in information processing3041518UNINA