Compressed Sensing with Applications in Wireless Networks

ISBN-13: 9781680836462 / Angielski / Miękka / 2019 / 310 str.

Markus Leinonen; Marian Codreanu; Georgios B. Giannakis

Spis treści

• 1. Introduction
• 2. Fundamentals of Compressed Sensing
• I. Advanced Signal Reconstruction from Compressive Measurements
• 3. Online Adaptive Estimation of Sparse Signals: Where RLS Meets the l1-Norm
• 4. Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
• II. Compressive Data Gathering in Wireless Sensor Networks
• 5. Compressed Acquisition of Correlated Streaming Sensor Data
• 6. Distributed Source Coding via Quantized Compressed Sensing
• 7. Rate-Distortion Performance of Lossy Compressed Sensing
• III. Sparsity-Enabled Cognitive and Cellular Communicationse
• 8. Channel Gain Cartography for Cognitive Radios Leveraging Low Rank and Sparsity
• 9. Exploiting Sparse User Activity in Multiuser Detection
• 10. Summary
• Acknowledgements
• References