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This paper will design a general, flexible, and efficient framework for data acquisition, data compression, and data reconstruction in advanced metering infrastructure (AMI). Compressed distributed sensing will be utilized to acquire load data from smart meters and transmit them to the central control unit. Different sparse binary measurement matrices will be exploited for different time instances...
One of the major objectives of cognitive radar is to form a dynamic closed feedback loop to adapt the spectrum of transmit waveforms to avoid certain interference. In this paper, we build an automatic closed-loop cognitive radar to support experimental study of the radar system in real-world situations. Convex optimization is applied to jointly design sounding waveforms and the matched filters with...
This paper studies fixed wideband beamforming with consideration of realistic channels. There has been a perception that nice beam patterns can always be formed with advanced optimization techniques. This is mostly true if the channels are ideal. But in reality it is not always true. Indeed, achieving a desirable beam pattern with an actual beamforming system can be very difficult, and this might...
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