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[null,"1.","Record Nr.",null,"UNINA990000961380403321"]
[null,null,"Autore",null,"Bethge, Klaus"]
[null,null,"Titolo",null,"Experimental Methods in Heavy Ion Physics / Edited by K. Bethge"]
[null,null,"Pubbl/distr/stampa",null,"Berlin [etc.] : Springer-Verlag, 1978"]
[null,null,"ISBN",null,"3-540-08931-4"]
[null,null,"Collana",null,"Lecture notes in physics ; 83"]
[null,null,"Disciplina",null,"539.74539.752"]
[null,null,"Locazione",null,"FI1"]
[null,null,"Collocazione",null,"34AI-226"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA990000199170403321"]
[null,null,"Autore",null,"Burg, M."]
[null,null,"Titolo",null,"Traité du dessin géométrique, ou Exposition complète de l'art du dessin linéaire, de la construction des ombres et du lavis / par M. Burg"]
[null,null,"Pubbl/distr/stampa",null,"Paris : J. Corréard, 1847"]
[null,null,"Edizione",null,"[2e édition, complètement refondue et augmentée]"]
[null,null,"Descrizione fisica",null,"2 v. in 1 ; 26 cm"]
[null,null,"Disciplina",null,"604.2"]
[null,null,"Locazione",null,"FINBC"]
[null,null,"Collocazione",null,"13 AR 28 A 02"]
[{"$nulls":4},"13 AR 28 A 01"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Tradotto dal tedesco da Regnier"]
[null,"3.","Record Nr.",null,"UNINA9910619276503321"]
[null,null,"Titolo",null,"Compressed Sensing in Information Processing / / edited by Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022"]
[null,null,"ISBN",null,"3-031-09745-9"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (549 pages)"]
[null,null,"Collana",null,"Applied and Numerical Harmonic Analysis, , 2296-5017"]
[null,null,"Disciplina",null,"621.3678"]
[{"$nulls":4},"621.3822"]
[null,null,"Soggetti",null,"Harmonic analysis"]
[{"$nulls":4},"Mathematics - Data processing"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Abstract Harmonic Analysis"]
[{"$nulls":4},"Computational Mathematics and Numerical Analysis"]
[{"$nulls":4},"Digital and Analog Signal Processing"]
[{"$nulls":4},"Image Processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Hierarchical compressed sensing (G. Wunder) -- Proof Methods for Robust Low-Rank Matrix Recovery (T. Fuchs) -- New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization (J. Maly) -- Sparse Deterministic and Stochastic Channels: Identification of Spreading Functions and Covariances (Dae Gwan Lee) -- Analysis of Sparse Recovery Algorithms via the Replica Method (A. Bereyhi) -- Unbiasing in Iterative Reconstruction Algorithms for Discrete Compressed Sensing (F.H. Fischer) -- Recovery under Side Constraints (M. Pesavento) -- Compressive Sensing and Neural Networks from a Statistical Learning Perspective (E. Schnoor) -- Angular Scattering Function Estimation Using Deep Neural Networks (Y. Song) -- Fast Radio Propagation Prediction with Deep Learning (R. Levie) -- Active Channel Sparsification: Realizing Frequency Division Duplexing Massive MIMO with Minimal Overhead (M. B. Khalilsarai) -- Atmospheric Radar Imaging Improvements Using Compressed Sensing and MIMO (J. O. Aweda) -- Over-the-Air Computation for Distributed Machine Learning and Consensus in Large Wireless Networks (M. Frey) -- Information "]
[{"$nulls":4},"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)."]
[null,null,null,"Sommario/riassunto","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."]