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Compressed Sensing in Information Processing /

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 approac...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kutyniok, Gitta (Editor), Rauhut, Holger (Editor), Kunsch, Robert J. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Birkhäuser, 2022.
Edition:1st ed. 2022.
Series:Applied and Numerical Harmonic Analysis,
Subjects:
Harmonic analysis.
Mathematics-Data processing.
Signal processing.
Image processing.
Abstract Harmonic Analysis.
Computational Mathematics and Numerical Analysis.
Digital and Analog Signal Processing.
Image Processing.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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).