Signatures, Silencing Systems, and Susceptibility: Essentials

Signal and Image Processing for Remote Sensing by C. H. Chen (Editor) Advances in signal and image processing for remote sensing have been tremendous in recent years. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.

Sparse Arrays for Radar, Sonar, and Communications by Moeness G. Amin (Editor) The book discusses various design approaches of sparse arrays including those seeking to increase the corresponding one-dimensional and two-dimensional virtual array apertures and others that configure the arrays based on solutions of constrained minimization problems. The latter incudes statistical bounds and signal-to-interference and noise ratio. In this respect, the book utilizes the recent strides made in convex optimizations and machine learning for sparse array design in both fixed and dynamic environments. Similar ideas are presented for sparse waveform design and combined sparse array-waveform design. The book also considers the Perception-Action Cycle in cognitive sensing incorporating antenna switching and sparse arrays to achieve both direction finding and optimum beamforming