混合噪声的图像复原算法

提出了一种基于中值滤波和局部线性核平滑的图像去噪算法.该算法采用在空间域中的自适应滤波思想,运用改进的混合滤波器去除图像中的混合噪声.该算法的特点是复原后的图像能较好地保留边缘,同时对图像退化的先验知识要求不严格,并且有明确的数学公式,更适合实际运用.实验表明,作者提出的方法对含有混合噪声的图像复原具有较好的效果.     

森林资源动态预测的理论与方法

在用一维Kalman滤波研究森林资源动态基础上,介绍了二维Kalman滤波的原理与方法,并以浙江省丽水市森林资源连续清查样地的地理坐标建立二维坐标系,以样地森林面积和森林蓄积为状态向量,应用二维Kalman滤波研究森林资源动态。结果表明：对森林蓄积动态及样地个数较多、面积较大的用材林和防护林的面积动态预测效果良好,而对于样地个数较少、变异系数较大的样地如特用林和未成林造林林地的面积动态预测误差较大,如要作准确预测,则需要加大这些样地的抽样个数。     

Delay-range-dependent robust H filtering for uncertain stochastic systems with mode-dependent time delays and Markovian jump parameters

This paper investigates the problem of robust H^∞ filtering for uncertain stochastic time-delay systems with Markovian jump parameters. Both the state dynamics and measurement of the system are corrupted by Wiener processes. The time delay varies in an interval and depends on the mode of operation. A Markovian jump linear filter is designed to guarantee robust exponential mean-square stability and a prescribed disturbance attenuation level of the resulting filter error system. A novel approach is employed in showing the robust exponential mean-square stability. The exponential decay rate can be directly estimated using matrices of the Lyapunov-Krasovskii functional and its derivative. A delay-range-dependent condition in the form of LMIs is derived for the solvability of this H^∞ filtering problem, and the desired filter can be constructed with solutions of the LMIs. An illustrative numerical example is provided to demonstrate the effectiveness of the proposed approach.     

On a Ramanujan equation connected with the median of the gamma distribution

In this paper, we consider the sequence solving the Ramanujan equation

The three main achievements are the following. We introduce a continuous-time extension of and show its close connections with the medians of the distributions and the Charlier polynomials. We give upper and lower bounds for both and , in particular for , which are sharper than other known estimates. Finally, we show (and at the same time complete) two conjectures by Chen and Rubin referring to the sequence of medians .

     

基于虚拟筛选策略发现新型潜在JAK3小分子抑制剂

利用已知活性的分子采用基于配体的策略构建药效团模型,通过基于类药规则、药效团模型、多种精度的分子对接算法、MM/GBSA结合能预测以及ADMET筛选手段对含约250万个分子的数据库进行虚拟筛选。发现5种JAK3抑制剂的新型骨架,其中6个以1-苯基咪唑烷-2-酮为骨架的分子在与JAK3激酶的结合能以及分子的ADMET性质评价方面均表现优异,具备高JAK3抑制剂潜力,被认为是虚拟筛选的命中分子。     

基于多尺度滤波和线检测算子的视网膜血管检测

视网膜血管分割在眼底图像分析中具有重要作用。结合多尺度Hessian矩阵滤波和线检测算子,提出了一种有效的血管检测方法。首先利用多尺度Hessian矩阵的特征值构建血管相似性函数,实现血管增强;然后采用改进的线检测算子,提取反映血管测度的特征;最后采用SVM实现血管检测。实验结果表明,该方法只需要较少的训练样本即可达到与其他方法相当的准确率,且在灵敏性上具有更好的性能。     

全天时星敏感器光学系统参量选择与光学设计

以10km观测高度探测4.5等星为例,分析星点在600~1100nm谱段的辐射特性,使用Modtran软件计算同谱段的天空背景辐射亮度以及大气透过率,在信噪比阈值为5的情况下,选择一组典型的光学系统参量.采用一块平面反射镜和石英球面镜系统设计了轻、小型化的光学系统,该系统在600~1 100nm宽光谱范围内全视场光斑形状接近圆形、调制传递函数接近衍射极限,色差很小,具有良好的成像质量.计算了地面环境下星敏感器的昼夜探测信噪比,以信噪比阈值5对星敏感器的探测能力评估,结果表明在白昼地面环境下可以实现2.5等G型恒星的探测,在夜间地面环境下可以实现6等G型恒星的探测.     

浅海波导中折射类简正波的warping变换

Warping变换可以实现单水听器浅海低频声波导的简正波分离.本文讨论了海水声速随深度线性减小浅海波导中折射类简正波的warping变换.理论推导了海水折射类简正波水平波数、频域相位及瞬时相位的表达式,由此提出了相应的时域和频域warping变换算子,并由仿真数据进行了验证.本文的理论推导过程同样适用于海水声速线性增大或海水折射系数的平方随深度线性变化的浅海波导.     

Efficient Implementations of the Generalized Lasso Dual Path Algorithm

We consider efficient implementations of the generalized lasso dual path algorithm given by Tibshirani and Taylor in 2011 Tibshirani, R.J., Taylor, J. (2011), The Solution Path of the Generalized Lasso, Annals of Statistics, 39, 1335–1371.[Crossref], [Web of Science ®] , [Google Scholar]. We first describe a generic approach that covers any penalty matrix D and any (full column rank) matrix X of predictor variables. We then describe fast implementations for the special cases of trend filtering problems, fused lasso problems, and sparse fused lasso problems, both with X = I and a general matrix X. These specialized implementations offer a considerable improvement over the generic implementation, both in terms of numerical stability and efficiency of the solution path computation. These algorithms are all available for use in the genlasso R package, which can be found in the CRAN repository.