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In this paper, we propose an advanced polar encoding scheme with successive cancellation list (SCL) decoder for visible light communication (VLC). As much high-profile channel coding methods, polar codes have achieved the symmetric capacity of binary-input discrete memoryless channels (B-DMCs) based on channel polarization. By taking advantages of simple recursive encoding structure and confirmed...
It remains a challenge to simultaneously remove geometric distortion and space-time-varying blur in frames a captured through a turbulent atmospheric medium. We propose a new scheme to recover a latent image from observed frames by integrating a new variational model and distortion-driven spatial-temporal kernel regression. First, the proposed scheme constructs a high-quality reference image from...
Waveform inversion of crosshole data based on acoustic wave equation is investigated in this paper. The inversion is set as an optimization problem with the Lagrange multiplier function. The Tikhonov regularization is adopted in objective function. The gradient of the objective function is generated by solving the adjoint equation of the forward problem with the finite difference method. In order...
The simulation of wave propagation has important applications in many problems such as in computational seismology. Here, we focus on boundary absorbing computations in wave simulation with the finite element method on triangular mesh. The first-order and second-order absorbing boundary conditions based on wave decomposition are presented. Moreover, the absorbing conditions for corners are proposed...
We address the Primary User (PU) detection (spectrum sensing) problem, relevant to cognitive radio, from a finite random matrix theoretical (RMT) perspective. Specifically, we employ recently-derived closed-form and exact expressions for the distribution of the standard condition number (SCN) of uncorrelated and semi-correlated random dual Wishart matrices of finite sizes, to design Hypothesis-Testing...
We address the Primary User (PU) detection (spectrum sensing) problem, relevant to cognitive radio, from a finite random matrix theoretical (RMT) perspective. Utilizing recently-derived closed-form and exact expressions for the distribution of the standard condition number (SCN) of dual random Wishart matrices, we design a new blind algorithm to detect the presence of PU signals. An inherent property...
To deal with the problem of hostile environments, we proposed to construct heterogeneous sensor networks composed of both regular nodes and robust nodes, where robust nodes are better equipped for hostile environments and hence are more expensive than regular nodes. We study the problem of network design in heterogeneous wireless sensor networks that involves optimization of network costs associated...
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