Summary: The cellular wave computer architecture, based on the CNN universal machine principle, has been implemented recently in many different physical forms. The mixed mode CMOS, the emulated digital (cell wise or as aggregated arrays), FPGA, DSP, as well as optical implementations are the main examples. In many cases, the sensory array is integrated as well.
This course will begin with an introduction which will provide a historical overview, mind inspired and brain inspired computing models, the role of spatial address of a processor, new directions and products in computing The technology scenario. Other topics that will be addressed include:
Summary: This tutorial presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent trends. After completing this course you should be able to develop an understanding of: Generic Phased-Array Architecture; Real-Time Embedded Computing Implementation Options; Trends and Advanced Techniques.
Summary: Space-Time Adaptive Processing (STAP) is an advanced signal processing methodology for the Ground Moving Target Indication (GMTI) mode of airborne and spaceborne surveillance radar systems. It is used to mitigate motion-induced spread-Doppler clutter that interferes with the echo from ground targets. This course will develop and clearly illustrate the GMTI problem from first principles, showing the need for STAP processing. Traditional STAP processing solutions will be derived from a detection probabilistic perspective - the most pertinent metric for radar.
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