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A finite difference time domain method is presented to analyze high-harmonic generation from single valence electron atom which is illuminated by a given strong ultrafast laser field. By invoking the finite difference time domain method, we discretize and solve the one-dimensional time-dependent Schrödinger equation to determine the corresponding wave functions, and calculation of high-harmonic generation...
As a kind of large-power, single-phase and nonlinear load, the electrified railway produces a great deal of harmonic, which has a severe impact on the power quality in power system. In this paper, a set of practical indicators is put forward firstly, in order to analyze the transmission characteristics of the harmonics and negative sequence voltage and current in power network quantitatively. Secondly,...
This paper presents a novel manipulation trajectory generating algorithm that constructs trajectories from learned motion harmonics and user defined constraints. The algorithm uses functional eigenanalysis to learn motion harmonics from demonstrated motions and then use the motion harmonics to compute the optimal trajectory that resembles the demonstrated motions and also satisfies the constraints...
Two image restoration algorithms based on modified Hop field neural network and variational partial differential equations (PDE) were proposed in our previous work. But the convergence rate of the proposed algorithms was slow. In this paper, we develop a fast update rule based on modified Hop field neural network (MHNN) of continuous state change and two fast image restoration algorithms. Experimental...
In our previous work, an image restoration algorithm based on modified Hopfield neural network and harmonic model was proposed. But the computational complexity of the algorithm is high. In this paper, a parallel image restoration algorithm based on the Harmonic model using modified Hopfield neural network (MHNN) is developed. The proposed algorithm makes full use of the parallel computation performance...
This paper presents a novel rate control algorithm for H.264/AVC video coding. Pertinent to the algorithm, the paper introduces a joint R-D model, a coding bit estimation approach, a picture complexity measurement, and a model update method. Specifically, the proposed picture complexity measurement employs a harmonic mean based approach to predict the coding complexity of a frame. These techniques...
Recently, digital image inpainting technique based on variational and partial differential equation has been researched widely. In this paper, we present two image compression schemes based on image inpainting technologies. One compression scheme in spatial domain is based on the image edge character. The Harmonic inpainting is applied in this scheme. The other compression scheme is in wavelet domain...
In this paper, we introduce two variational PDEs (Partial Differential Equations) as the regularization terms to the image restoration model based on the modified Hopfield neural network. The performance of these regularization terms is analyzed from the viewpoint of nonlinear diffusion. It can be shown that the two proposed restoration models have superior edge preserving performance than the traditional...
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