remote_accell

用于2维、3维的血管图像增强，根据的理论为Frangi提出的Vessel enhancement diffusion。(2D and 3D vessel enhancement filter acording to Vessel enhancement diffusion proposed by Frangi 2001)

说明：  最优化方法: 共轭方向法 matlab源代码 需要改变原函数及其梯度(Optimization: Conjugate Method need to change the original function and its gradient)

自己建立的park变换模块，根据TI公司永磁电动机例程编写(park transform model created by myself,based on TI s permanent magnet motor routines)

阵列处理的一个分支，空间谱估计中的MUSIC和ESPRIT算法(Array processing, a branch of the MUSIC spatial spectrum estimation and the ESPRIT algorithm)

多通道奇异谱分析程序，可用于时间序列多尺度分析，多尺度比对与拼接等。(multi-channel singular spectrum analysis procedures can be used for time-series analysis of multi-scale, multi-scale compared with other combinations.)

应用matlab语言，应用lambert变轨实现地球到火星的发射窗口的轨道寻优。内涵lambert变轨功能，星历计算等多个函数文件(Application of matlab language, application lambert achieve orbit the Earth to orbit Mars launch window optimization. Connotation lambert orbit function, ephemeris calculations and other functions file)

地震勘探三维自适应滤波方法介绍，比较新的文章。(Three-dimensional seismic exploration adaptive filtering method introduced more new articles.)

hybrid energy vehicle system in trend

Newton Raphson algorithm flow calculation by Mathlab

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)