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In this paper, we provide a distributed algorithm to locate an arbitrary number of agents moving in a bounded region. Assuming that each agent can estimate a noisy version of its motion and the distances to the nodes in its communication radius, we provide a simple linear update to find the locations of an arbitrary number of mobile agents when they follow some convexity in their deployment and motion,...
This paper is addressed to the problem of identifying the neighborhood structure of an undirected graph, whose nodes are labeled with the elements of a multivariate normal (MVN) random vector. A semi-definite program is given for estimating the information matrix under arbitrary constraints on its elements. More importantly, closed-form expressions are given for the maximum likelihood (ML) estimator...
State-of-the-art narrowband noise cancellation techniques utilise the generalised eigenvalue decomposition (GEVD) for multi-channel Wiener filtering, which can be applied to independent frequency bins in order to achieve broadband processing. Here we investigate the extension of the GEVD to broadband, polynomial matrices, akin to strategies that have already been developed by McWhirter et. al on the...
In this paper, the estimation of a narrowband time-varying channel under the practical assumptions of finite block length and finite transmission bandwidth is investigated. It is shown that the signal, after passing through a time-varying narrowband channel reveals a particular parametric low-rank structure that can be represented as a bilinear form. To estimate the channel, we propose two structured...
There is a growing need for developing fast and scalable methods for storing and processing large databases of healthcare images and videos. The paper reviews current medical image analysis techniques and the recent emergence, promise, and challenges associated with large scale video analysis methods. Furthermore, the paper describes large-scale video processing paradigms and provides a summary of...
Prior research demonstrates environmental reservoirs may play a role in the transmission of antibiotic-resistant bacteria within a hospital. Using video monitoring, we propose a technique based on graph Laplacian spectral analysis to classify human activities around sinks. The extracted feature-vectors are applied to a support vector machine to characterize different events in each video. Results...
A sequential test is proposed for detection and isolation of hubs in a correlation graph. Hubs in a correlation graph of a random vector are variables (nodes) that have a strong correlation edge. It is assumed that the random vectors are high-dimensional and are multivariate Gaussian distributed. The test employs a family of novel local and global summary statistics generated from small samples of...
The recent computing performance revolution has driven improvements in sensor, communication, and storage technology. Multi-decadal remote sensing datasets at the petabyte scale are now available in commercial clouds, with new satellite constellations generating petabytes/year of daily high-resolution global coverage imagery. Cloud computing and storage, combined with recent advances in machine learning,...
We derive the outage probability of a multi-source multi-relay transmission system, where all the links experience κ-μ fading variations. The source-relay links are assumed to be non-orthogonal multiple access channels (MACs). Two transmission schemes are considered for relay-destination transmission, i.e., non-orthogonal maximum ratio transmission (MRT) and orthogonal transmission with joint-decoding...
Functional connectivity (FC) in the brain reflects the time-varying cognitive demands imposed by our changing environment. Researchers have advanced methods towards evaluating such changes but no single dynamic FC method has emerged. This plurality of methodologies challenges the research community to implement efficient means for evaluating the results of each method. Brain connectivity exists in...
In this paper, we study spatial half-duplex, where an antenna array is partitioned such that a subset of antennas is used for transmission, and others for reception in the same time and frequency. We use transmit-precoders to partition the antennas and design optimal precoders under two approaches. In one approach, precoder minimizes self-interference, for fixed downlink-rate. In another approach,...
This paper designs efficient feedback mechanisms to help enable massive MIMO in frequency division multiplexing (FDD) bands. By exploiting possible device-to-device (D2D) coordination and using a team decision approach, a scheme is developed to bridge the feedback in the channel space and that in the precoder space. It is found that the desired feedback and precoding vectors take similar forms as...
The discrete memoryless Z-Channel with a confidential message and a cooperative receiver (DM-ZC-CMCR) is considered. A noiseless one-sided rate-limited cooperation link exists between the two receivers. The secrecy level is measured by the equivocation rate. An outer bound on the secrecy-capacity-region DM-ZC-CMCR is derived. An achievable secrecy-rate region is proposed. The secrecy-sum capacity...
Recent wireless communications systems have adopted orthogonal frequency-division multiplexing (OFDM) due to its robustness against fading channels with simple receiver structure. However, it results in poor power amplifier (PA) efficiency or otherwise suffers from severe nonlinear distortion that causes adjacent channel interference (ACI) because of its high peak-to-average power ratio (PAPR) property...
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