Compressed sensing and its applications. MATHEON workshop, Berlin, Germany, December 2013. (English) Zbl 1320.94007
Applied and Numerical Harmonic Analysis. Cham: Birkhäuser/Springer (ISBN 978-3-319-16041-2/hbk; 978-3-319-16042-9/ebook). xii, 472 p. (2015).
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The articles of this volume will be reviewed individually.Indexed articles:
Boche, Holger; Calderbank, Robert; Kutyniok, Gitta; Vybíral, Jan, A survey of compressed sensing, 1-39 [Zbl 1333.94015]
Llull, Patrick; Yuan, Xin; Liao, Xuejun; Yang, Jianbo; Kittle, David; Carin, Lawrence; Sapiro, Guillermo; Brady, David J., Temporal compressive sensing for video, 41-74 [Zbl 1333.94011]
Pezeshki, Ali; Chi, Yuejie; Scharf, Louis L.; Chong, Edwin K. P., Compressed sensing, sparse inversion, and model mismatch, 75-95 [Zbl 1333.94022]
Thrampoulidis, Christos; Oymak, Samet; Hassibi, Babak, Recovering structured signals in noise: least-squares meets compressed sensing, 97-141 [Zbl 1333.94024]
Adcock, Ben; Hansen, Anders C.; Roman, Bogdan, The quest for optimal sampling: computationally efficient, structure-exploiting measurements for compressed sensing, 143-167 [Zbl 1333.94014]
Bertin, Nancy; Daudet, Laurent; Emiya, Valentin; Gribonval, Rémi, Compressive sensing in acoustic imaging, 169-192 [Zbl 1333.94005]
Boufounos, Petros T.; Jacques, Laurent; Krahmer, Felix; Saab, Rayan, Quantization and compressive sensing, 193-237 [Zbl 1333.94016]
Bourrier, Anthony; Gribonval, Rémi; Pérez, Patrick, Compressive Gaussian mixture estimation, 239-258 [Zbl 1333.94017]
Friedland, Shmuel; Li, Qun; Schonfeld, Dan; Bernal, Edgar A., Two algorithms for compressed sensing of sparse tensors, 259-281 [Zbl 1333.94018]
Jung, Peter; Walk, Philipp, Sparse model uncertainties in compressed sensing with application to convolutions and sporadic communication, 283-313 [Zbl 1333.94019]
Kabanava, Maryia; Rauhut, Holger, Cosparsity in compressed sensing, 315-339 [Zbl 1333.94020]
Kyrillidis, Anastasios; Baldassarre, Luca; El Halabi, Marwa; Tran-Dinh, Quoc; Cevher, Volkan, Structured sparsity: discrete and convex approaches, 341-387 [Zbl 1333.94021]
Mixon, Dustin G., Explicit matrices with the restricted isometry property: breaking the square-root bottleneck, 389-417 [Zbl 1331.94036]
Rauhut, Holger; Schneider, Reinhold; Stojanac, Željka, Tensor completion in hierarchical tensor representations, 419-450 [Zbl 1333.94023]
Rodrigues, Miguel; Nokleby, Matthew; Renna, Francesco; Calderbank, Robert, Compressive classification: where wireless communications meets machine learning, 451-468 [Zbl 1332.94011]
MSC:
94-06 | Proceedings, conferences, collections, etc. pertaining to information and communication theory |
94A12 | Signal theory (characterization, reconstruction, filtering, etc.) |
94A20 | Sampling theory in information and communication theory |
68U10 | Computing methodologies for image processing |
15B52 | Random matrices (algebraic aspects) |
90C25 | Convex programming |
00B25 | Proceedings of conferences of miscellaneous specific interest |