Now showing items 1-20 of 20

• #### Accelerated Cardiovascular Magnetic Resonance Imaging Using Radial Acquisition with Compressed Sensing ﻿

(2012-12-13)
Magnetic resonance imaging (MRI) is a medical imaging technique that can visualize internal organs for examination and diagnosis. It is non-invasive and ionizing radiation-free, and provides good contrast between different ...
• #### Adaptive Algorithms for Sparse Nonlinear Channel Estimation ﻿

(2009)
In this paper, we consider the estimation of sparse nonlinear communication channels. Transmission over the channels is represented by sparse Volterra models that incorporate the effect of Power Amplifiers. Channel estimation ...
• #### Adaptive Greedy Algorithm With Application to Nonlinear Communications ﻿

(Institute of Electrical and Electronics Engineers, 2010)
Greedy algorithms form an essential tool for compressed sensing. However, their inherent batch mode discourages their use in time-varying environments due to significant complexity and storage requirements. In this paper ...
• #### Algorithms and Array Design Criteria for Robust Imaging in Interferometry ﻿

(2016-05-14)
Optical interferometry is a technique for obtaining high-resolution imagery of a distant target by interfering light from multiple telescopes. Image restoration from interferometric measurements poses a unique set of ...
• #### Asymptotic Achievability of the Cramér–Rao Bound For Noisy Compressive Sampling ﻿

(Institute of Electrical and Electronics Engineers, 2009)
We consider a model of the form ${bf y}={bf Ax}+{bf n}$, where ${bf x}inBBC^{M}$ is sparse with at most $L$ nonzero coefficients in unknown locations, ${bf y}inBBC^{N}$ is the observation vector, ${bf A}inBBC^{Ntimes M}$ ...
• #### An Augmented Lagrangian Based Compressed Sensing Reconstruction for Non-Cartesian Magnetic Resonance Imaging without Gridding and Regridding at Every Iteration ﻿

(Public Library of Science, 2014)
Background: Non-Cartesian trajectories are used in a variety of fast imaging applications, due to the incoherent image domain artifacts they create when undersampled. While the gridding technique is commonly utilized for ...
• #### Bayesian-based localization of wireless capsule endoscope using received signal strength ﻿

(IEEE, 2014)
In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through ...
• #### Cognitive Radio Networks: Highlights of Information Theoretic Limits, Models and Design ﻿

(Institute of Electrical and Electronic Engineers, 2008)
In recent years, the development of intelligent, adaptive wireless devices called cognitive radios, together with the introduction of secondary spectrum licensing, has led to a new paradigm in communications: cognitive ...
• #### Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario ﻿

(Japan Science and Technology Agency (JST), 2012)
In this paper, we study the problem of distributed spectrum allocation under a vertical spectrum sharing scenario in a cognitive radio network. The secondary users share the spectrum licensed to the primary user by observing ...
• #### GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm ﻿

(Institute of Electrical and Electronics Engineers, 2010)
In this paper, the problem of distributed dynamic frequency allocation is considered for a canonical communication network, which spans several networks such as cognitive radio networks and digital subscriber lines (DSLs). ...
• #### Improved accelerated breath-hold radial cine image reconstruction by acquiring additional free-breathing data between breath-holds ﻿

(BioMed Central, 2012)
• #### Interference Analysis for on the Move Satellite Communication Systems ﻿

(IEEE, 2009)
We consider on the move satellite systems with geostationary satellites. Using the antenna pointing distribution of Weerackody and Gonzalez, we derive tight upper and lower bounds on the interference to adjacent satellites ...
• #### Interference Aware-Coordinated Beamforming System in a Two-Cell Environment ﻿

(Institute of Electrical and Electronics Engineers (IEEE), 2009)
In this paper, we propose jointly optimized transceiver algorithms called interference aware coordinated beamforming (IA-CBF) for a two-cell system where each base station is equipped with multiple transmit antennas. The ...
• #### Near Shannon Limit and Reduced Peak to Average Power Ratio Channel Coded OFDM ﻿

(2012-07-24)
Solutions to the problem of large peak to average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems are proposed. Although the design of PAPR reduction codewords has been extensively studied ...
• #### Optimized Constellations for Two-Way Wireless Relaying with Physical Network Coding ﻿

(Institute of Electrical and Electronics Engineers., 2009)
We investigate modulation schemes optimized for two-way wireless relaying systems, for which network coding is employed at the physical layer. We consider network coding based on denoise-and-forward (DNF) protocol, which ...
• #### Peak Power Reduction of OFDM Signals with Sign Adjustment ﻿

(Institute of Electrical & Electronics Engineers, 2009)
It has recently been shown that significant reduction in the peak to mean envelope power (PMEPR) can be obtained by altering the sign of each subcarrier in a multicarrier system with n subcarriers. However, finding the ...
• #### Peak Sidelobe Level Distribution Computation for Ad Hoc Arrays using Extreme Value Theory ﻿

(2014-02-25)
Extreme Value Theory (EVT) is used to analyze the peak sidelobe level distribution for array element positions with arbitrary probability distributions. Computations are discussed in the context of linear antenna arrays ...
• #### Performance Bounds for Bidirectional Coded Cooperation Protocols ﻿

(IEEE, 2008)
In coded bidirectional cooperation, two nodes wish to exchange messages over a shared half-duplex channel with the help of a relay. In this correspondence, we derive performance bounds for this problem for each of three ...
• #### Regularized recursive least squares for anomaly detection in sparse channel tracking applications ﻿

(ACM Press, 2011)
In this paper, we study the problem of anomaly detection in sparse channel tracking applications via the $l_1$-regularized least squares adaptive filter (SPARLS). Anomalies arise due to unexpected adversarial changes in ...
• #### SPARLS: The Sparse RLS Algorithm ﻿

(Institute of Electrical and Electronics Engineers, 2010)
We develop a recursive ${cal L}_{1}$-regularized least squares (SPARLS) algorithm for the estimation of a sparse tap-weight vector in the adaptive filtering setting. The SPARLS algorithm exploits noisy observations of the ...