Xin Lv – författare

This book examines terahertz technology and its applications in atmospheric remote sensing.

Terahertz waves are electromagnetic radiation between microwaves and infrared radiation in the electromagnetic spectrum. They have the capability of greater directivity, higher power density, higher resolution imaging, richer fingerprint spectrum, wider bandwidth and faster transmission rate. Such properties promise great potential for terahertz technology applications in many fields, particularly in the detection of substances and the exploration of space. The book begins with an introduction to the development of space terahertz remote sensing and the underlying theories. The next seven chapters cover the key equipment and critical technologies for terahertz remote sensing, including the terahertz radiometer and its calibration and receiver link; the terahertz reflector antenna and its tolerance analysis; remote sensing imagery; and space resolution enhancement of both oversampled and non-oversampled data. The final chapter presents the application of terahertz imaging technology in the field of security inspection.

This title will serve as a valuable reference for academics, students and engineers in the fields of terahertz technology, space science and remote sensing. Professionals in atmospheric remote sensing and inspection imaging will also benefit from this book.

This book examines terahertz technology and its applications in atmospheric remote sensing.

Terahertz waves are electromagnetic radiation between microwaves and infrared radiation in the electromagnetic spectrum. They have the capability of greater directivity, higher power density, higher resolution imaging, richer fingerprint spectrum, wider bandwidth and faster transmission rate. Such properties promise great potential for terahertz technology applications in many fields, particularly in the detection of substances and the exploration of space. The book begins with an introduction to the development of space terahertz remote sensing and the underlying theories. The next seven chapters cover the key equipment and critical technologies for terahertz remote sensing, including the terahertz radiometer and its calibration and receiver link; the terahertz reflector antenna and its tolerance analysis; remote sensing imagery; and space resolution enhancement of both oversampled and non-oversampled data. The final chapter presents the application of terahertz imaging technology in the field of security inspection.

This title will serve as a valuable reference for academics, students and engineers in the fields of terahertz technology, space science and remote sensing. Professionals in atmospheric remote sensing and inspection imaging will also benefit from this book.

This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization are also presented. In this book, we present the design, proposal, development, analysis, modeling, and simulation of various neural dynamic models, along with their respective applications including motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization. Specifically, starting from the top-level considerations of hardware implementation, we integrate computational intelligence methods and control theory to design a series of dynamic and noise-resistant discrete neural dynamic methods. The research work not only owns the theoretical guarantee on its convergence, noise resistance, and accuracy, but demonstrate the effectiveness and robustness in solving various optimization and equation solving problems, particularly in handling time-varying problems and noise perturbations. Moreover, by reducing complexity and avoiding matrix inversion operations, the models’ feasibility and practicality are further enhanced.