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Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms...
We study the distributed detection problem in the context of a balanced binary relay tree, where the leaves of the tree are sensors generating binary messages. The root of the tree is a fusion center ...
We present a square root limit on low probability of detection (LPD) communication over additive white Gaussian noise (AWGN) channels. Specifically, if a warden has an AWGN channel to the transmitter ...
Cyber-physical systems integrate computation, communication, and physical capabilities to interact with the physical world and humans. Besides failures of components, cyber-physical systems are prone ...
Abstract: The acquisition stage in GNSS receivers determines Doppler shifts and code phases of visible satellites. Acquisition is thus a search in two continuous dimensions, where the digital algorith...
Abstract: In this article, the joint fluctuations of the extreme eigenvalues and eigenvectors of a large dimensional sample covariance matrix are analyzed when the associated population covariance mat...
One of the difficults for fault detection techniques for non-linear stochastic systems via model-based methods is the design of residual generation. In this paper, a new fault detection (FD) approche ...
Inspired by Cremers;s work, we propose a novel method for open boundary detection, such as coastline, skyline in an image. It is based on B-spline function, curve evolution and the cartoon model of M...
The outlier problem for a multivariate elliptically contoured distribution's random sample with mean slippage is defined and the likelihood ratio test ofthe null hypothesis, in which there are no outl...
An attractive, but very difficult research topic is automatic DEM deformation detection without control points. The technique is essential for multi-temporal remote sensing applied in, e.g., soil-eros...

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