Low-Dimensional-Model-based Electromagnetic Imaging: A Survey (Foundations and Trends(r) in Signal Processing)

Li, Lianlin; Hurtado, Martin; Xu, Feng; Zhang, Bing Chen; Jin, Tian; Cui, Tie Jun; Stevanovic, Marija Nikolic; Nehorai, Arye

ISBN 10: 1680834622 / ISBN 13: 9781680834628

Published by Now Publishers, 2018

About this Item

pp. 104.

Seller Inventory # 26383761309

Bibliographic Details

• Title: Low-Dimensional-Model-based Electromagnetic Imaging: A Survey (Foundations and Trends(r) in Signal Processing)
• Publisher: Now Publishers
• Publication Date: 2018
• Language: English
• ISBN 10: 1680834622
• ISBN 13: 9781680834628
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Electromagnetic imaging has been a powerful technique in various civil and military applications across medical imaging, geophysics, and space exploration. The Nyquist-Shannon theory has formed the basis for processing the signals in such systems. The advent of Compressive Sensing techniques has enabled low-dimension-model-based techniques to be used to break many of the bottlenecks of the earlier technologies. Low-dimensional-model-based electromagnetic imaging remains at its early stage, and many important issues relevant to practical applications need to be carefully investigated. In particular, this is the era of big data with booming electromagnetic sensing, by which massive data are being collected for retrieving very detailed information of probed objects. This monograph gives an overview of the low-dimensional models of structure signals, along with its relevant theories and low-complexity algorithms of signal recovery. It further reviews the recent advancements of low-dimensional-model-based electromagnetic imaging in various applied areas. It is a comprehensive introduction for researchers and engineers wishing to understand the state-of-the-art of electromagnetic imaging.