Data-Driven Wireless Networks: A Compressive Spectrum Approach

by Yue Gao and Zhijin Qin

This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles...

• Format: Paperback
• Language: English
• ISBN: 3030002896
• ISBN13: 9783030002893
• Release Date: November 2018
• Publisher: Springer
• Length: 93 Pages
• Weight: 0.38 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"