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Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-Nyquist signal acquisition. Ultra-wideband (UWB) noise radar is one of the novel techniques which is widely used in various applications such as emergency rescues and military operations. One challenging problem in UWB noise...
Wireless sensor and actuator networks (WSANs) have been widely implemented in smart grid to monitor and control their environment. We consider the sensor selection schemes for parameter estimation in energy constraint WSANs. To prolong the network lifetime and optimize energy consumption, only sensors experiencing favorable conditions will participate in the estimation process. In this paper, we study...
Although there are some work focusing on rate distortion analysis of compressive sensing (CS), some studied the distortion performance at a particular data rate and some only show the related figures without an expression. Different from all the others, in this paper, we study the performance of rate distortion function R(D) of CS with a distortion D and give a clear relationship between rate and...
Sensing-through-wall will benefit various applications such as emergence rescues and military operations. In order to add more signal processing functionality, it is vital to understand the characterization of sense-through-wall channel. In this paper, we propose a statistical channel model on a basis of real experimental data using UWB noise radar. We employ CLEAN algorithm to obtain the multipath...
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