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Weighted centroid localization (WCL) based on received signal strength (RSS) measurements is an attractive low-complexity solution that enables cognitive radios (CRs) to have a geolocation awareness of the radio environment. In this paper, we propose a new analytical framework to accurately calculate the performance of WCL based on the statistical distribution of the ratio of two quadratic forms in...
In this paper we present an overview of the state-of-the-art on intelligent battery management systems for electric and hybrid electric vehicles. The focus is on mathematical principles, methods and practical implementations. The intelligent battery management systems aim at lengthening the lifetime of the battery pack and enhancing the safety of drivers of electric and hybrid electric vehicles. Three...
Blind localization of primary user (PU) is a geo-location spectrum awareness feature that can be very useful in enhancing the functionality of cognitive radios (CRs) in terms of minimizing the interference to the PU. However, the estimation of the PU position within the region is made difficult because cooperation between the PU and the secondary user (SU) does not exist and therefore the PU signal...
This paper is concerned with the problem of H∞ filter design for linear continuous-time state-delayed systems with finite frequency specifications. The developed approaches in the paper are to design a filter guaranteeing an H∞ performance bound in a finite frequency range for delayed systems. To reduce conservatism, delay-partitioning idea is exploited to derive a new finite frequency bounded real...
We propose an adaptive surveillance video noise filter (ASVNF) using models for marginal distributions of wavelet coefficients. In order to suppress mixture Poisson-Gaussian noise for surveillance video, the wavelet domain based denoising function in the ASVNF adapts its output to the local spatial video structure and the property of the video noise. Based on the adaptability, the ASVNF recovers the...
Motion estimation is an important component for video processing and compression. A fast spatiotemporal statistical information based motion estimation technique is proposed in this paper. It uses the spatiotemporal correlation in the image sequence to detect and to estimate global motion, based which a block matching approach is applied for more accurate motion estimation. The experimental results...
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