Основываясь на проверенном временем учебном курсе для промышленности, правительства и академических кругов, это второе издание рассматривает основные концепции и методы пространственно-временной адаптивной обработки (STAP), делая упор на внедрение в реальных радиолокационных системах.
Based on a time-tested course taught in industry, government and academia, this second edition reviews basic STAP concepts and methods, placing emphasis on implementation in real-world systems.
The burgeoning popularity of space-time adaptive processing (STAP) is easily demonstrated with a quick keyword search. Although originally coined for airborne multichannel moving target indicator (MTI) radar, the acronym has been adopted in many disciplines in which joint adaptive sensor temporal and spatial processing are performed (e.g., multidimensional adaptive filtering). Although a widely published topic, there is a void in coverage at the introductory to intermediate level—a niche which this book is designed to address. Multichannel space-time array processing is an extremely rich topic area in and of itself. When coupled with the modern marvel of a radar system, it is doubtful that any single source could come close to providing comprehensive coverage.
The subject of this book is theory, principles and methods used in radar algorithm development with a special focus on automotive radar signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety and driving comfort. It is estimated that full autonomous driving will ...
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (L ...
Mastering practical application of real-time digital signal processing (DSP) remains one of the most challenging and time-consuming pursuits in the field. It is even more difficult without a resource to bridge the gap between theory and practice.
Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more.
This two volume set LNCS 10177 and 10178 constitutes the refereed proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017.
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