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A novel OFDM-remodulation scheme for 10-Gb/s/channel WDM-PON is proposed and numerically investigated. Negative remodulation penalty is achieved without using any ultra-narrow filter or coherent detection. 40-km single-fiber bidirectional transmission is confirmed with 7-dB power margin.
Frequency modulated differential chaos shift keying (DCSK/FM-DCSK), a joint modulation and spread spectrum technique, is a promising modulation technique for low-cost and low-complexity wireless transmission applications. The noise performance of DCSK/FM-DCSK is superior to most conventional modulation schemes in multipath-channel environment. Cooperative communication, on the other hand, is receiving...
Fit TC-Bezier surface with radial base function neural network, and build a radial base function network model which is suitable for surface reconstruction. A method is proposed in this paper, which suggests how to denoise and reconstructing free surface with radial base function neural network. This method simulates the internal relation between the points on surface using the study and training...
A novel phase remodulation scheme for 10-Gb/s WDM-PON is proposed and demonstrated. Downstream DPSK signal with a reduced modulation depth facilitates upstream phase remodulation and Rayleigh noise suppression. High extinction-ratio is attained in downstream/upstream demodulation.
In this paper, we present a tree-like blood vessels based on the region growing algorithm and level sets method for computing centerlines for both 2D and 3D shape analysis. Consider the tree-like vascular structure, we first use region growing technology to generate the shortest distance from the given root to all the pixels, ground on the distance can detect all the extreme nodes of branches automatically...
Skeleton has very important applications in objects expression, data compression, computer vision and animation. In the discrete space, the basic skeleton algorithms have two categories: one is thinning, the other is based on the distance transformation, in a high-dimensional space generated from the surface to form the ridge to create a skeleton. The skeleton which is based on the distance transform...
The choice of kernels is important for the support vector regression (SVR). In this paper, the robustness of SVR with different kernels is empirically analyzed. The two typical kernels, polynomial kernel and radial basis function (RBF) kernel, and their hybrid are used. Two simple rules for composition of kernels are used to produce the hybrid kernels. The experimental results show that the SVR with...
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