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The design of loop filter is very important in GNSS receivers. According to design methodology and filter coefficient calculation method, the performance of four filter design methods are analyzed and discussed for frequency response, loop bandwidth and noise equivalent bandwidth. The range of BNT in different methods and deviation of ideal noise equivalent bandwidth are investigated by simulation...
We construct complex networks from lévy noise (LN) using visibility algorithm proposed by Lucas lacasa el al. It is found that as the stability index α of the symmetric LN decreases, the corresponding complex network will transit from exponential network to long-tailed-degree-distribution one, and then to Gaussian one. The associated network for symmetric LN is the high clustering, hierarchy, and...
Magnetic Resonance Imaging is affected by random noise which limits the accuracy of many quantitative measurements from the data. The coupled partial diffusion equations are introduced for Magnetic Resonance Imaging denoising. One equation contains an anisotropic diffusion term, which controls the diffusion direction, a fidelity term, which assures the filtered image is not far from the initial image,...
We proposed a morphological pyramid multimodal medical image registration algorithm based on quantum particle swarm optimization (QPSO), this approach utilizes the global affine transformation model between images. With the non-linear and multi-resolution properties of the morphological pyramid structure, and bilinear interpolation, this algorithm can be implemented hierarchically and obtain the optimal...
This paper proposes an image enhancement algorithm based on fuzzy theory. The average of all adjacent points is as enhancement threshold and affiliation of each point is obtained by counting the average. Then, enhancement images are obtained with inverse transformation. Experiments have proved that contrast of vein and background is enhanced and effect of image segmentation and extraction is improved...
To obtain a high robust of speech recognition for noisy conditions, a new pre-processing stage based on wavelet thresholding algorithm is proposed in this paper. The purpose of using the DWT is to benefit from its localization property in the time and frequency domains. Compromise function is proposed compared with hard and soft thresholding function. A new thresholding value, Neyman-Pearson criterion...
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