ID 原文 译文
53327 通过分析最小l1范数稀疏性的原理，本文导出了一种最小l1范数稀疏性十字“花束”多面体实现模型，并在此基础上，构造了一种l1图表学习分类算法。 Based on l1-minimization norm sparsity, the paper exports a l1-minimization sparsity “cross-and-bouquet” polytope model, and constructs a l1-graphs clustering algorithm.
53328 通过与几种常用的图像分类算法比较，实验结果说明，本文提出的l1图表学习分类算法具有更高的分类精度和有效性。 Comparing a few of conventional image clustering algorithm, theoretical results show that the l1-graphs clustering algorithm possesses of much better accuracies and the effectiveness.
53329 双边滤波算法是一种在去噪的同时能很好地保留图像边缘等细节信息的非线性滤波技术。 The bilateral filter is a nonlinear filter which smoothes an image signal for denoising while preserving edges and details.
53330 针对双边滤波器计算耗时、难于用于实时系统，本文提出一种改进的增维双边滤波的快速算法。 This paper presents a fast approximate algorithm of an improved growth-dimensional bilateral filtering, to overcome problems of large computational complexity and difficult for real-time systems.
53331 该算法通过对双边滤波器的线性化和图像矩阵的映射，由 FFT 完成线性卷积; The algorithm starts with linearization for system of bilateral filter and the image matrix mapping, so that the filter can form linear convolutions through FFT.
53332 然后将计算结果逆映射还原为图像矩阵; In a nextstep, the above calculation will be restored to the image matrix by inverse mapping.
53333 最后依据图像的原始坐标和灰度值的差异进行像素补值，达到双边滤波快速实现的目的。 Finally, all pixels fill values in accordance with the difference of the coordinates and grayscale of the original image, to achieve the purpose of achieving important acceleration of the bilateral filter.
53334 五幅测试图像在不同噪声水平下的实验表明：本方法避免了插值过程，提高了计算效率， Experimental which five images are tested at different noise levels proved thatthe method improves the computational efficiency due to interpolation can be avoided.
53335 改进的双边滤波器在滤波精度与传统双边滤波器相仿的同时，运算时间仅为传统双边滤波器的 3. 6%左右。 The running time of improved bilateral filter is 3. 6% of traditional bilateral filter, while the filtering accuracy is close to the traditional bilateral filter.
53336 具有高频带利用率的新型无线数字通信技术是解决频率资源紧缺和高速率通信间矛盾的有效技术途径。 In order to solve the conflict between scarcity of the spectrum resources and the urgent demand for high capacity digital communication systems, the bandwidth efficiency of the digital communication systems should be high.