模糊 K-均值

用于计算Zernike多项式系数在缩放、偏心、旋转后的值(Calculating the values of Zernike polynomial coefficients after scaling, eccentricity and rotation)

matlab有限元分析1D杆结构，2D热扩散问题，2D弹性问题，2D梁受力问题(matlab finite element analysis of 1D bar structure, 2D thermal diffusion problem, 2D elasticity problems, 2D Beams problem)

Matlab地震数据处理和测井资料处理工具箱的使用说明书，非常好的学习资料(Matlab seismic data processing and logging data processing toolbox manual, very good learning materials)

燃料电池模型基于simulink，十分有用(Fuel cell model is based on simulink)

仿真了电力线信道与电力线通信中的窄带噪声(The simulation of the power line and the power line communication channel narrowband noise)

插值与拟合，解方程，数据分析，对HARQ系统的吞吐量分析，借鉴了主成分分析算法（PCA），连续相位调制信号(CPM)产生，包括随机梯度算法，相对梯度算法，三相光伏逆变并网的仿真。

提出一种新算法滤除噪声在级灰度和彩色图像。论的核心概念是基于图像滤波算法是颜色之间的空间相关性的度量： 我们说两种 颜色空间关联，是否这些出现在大多数情况下，图像中关于颜色的其他对附近。在离散的情况下，这项措施的空间 相关性是邻接矩阵，可以有效地计算。这是非迭代的 autocalibrable筛选器。鉴于其相似性在履行与双边滤波 （FB），进行了比较 与这种过滤器使用一种估计参数对 FB 的当前技术。可以看出，拟议压滤机一般生产比 FB 的效果更佳。 内部函数文件的使用说明。

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)

学自控的人应该好好看看哦！直接用其强大的函数功能。(good!)

This package enables Gaussian process prediction with very large sample sizes with a much smaller computational burden than many existing methods.