mySPWM

考虑到通信网络结点的可靠性，若要求任意一个结点出现故障时，其它结点间仍然能够保持通信畅通的可能性都达到90 ，请建立问题的数学模型，设计求解算法，并给出使总铺设费用最少的铺设方案(Considering the reliability of communication network nodes, if you want any one node fails, you can still keep communication flowing between the possibility of other nodes are reached 90 , please build a mathematical model of the problem, the design algorithm, and give up some laying scheme of total laying cost at least)

针对33节点编写的潮流程序,运用前推回代法，实用性很强(Flow program written for 33 nodes, use push backward substitution method very practical)

Gaussian的小波去噪工具箱，基于matlab(Gaussian Wavelet Denoising Matlab Toolbox Various wavelet shrinkage and wavelet thresholding estimators, appeared in the nonparametric regression literature, are implemented in MATLAB§. These estimators arise from a wide range of classical and empirical Bayes methods treating either individual or blocks of wavelet coefficients.)

matlb学习课件，供大家参考，有一点程序(failed to translate)

小波三级非标准规格化分解与重构 将载入的图像文件显示并进行非标准haar小波规格化分解与重构过程(Normalized wavelet decomposition and reconstruction of three non-standard image file will be included in the non-standard display and haar wavelet decomposition and reconstruction process of normalization)

基于有效算法的n节点电力系统，收敛速度快，准确度高，电力系统配电网潮流计算。(Efficient algorithm for the n-node power system, the faster convergence speed, accuracy, power system with the power flow calculation.)

图像配准定义为：对从不同传感器、不同时相、不同角度所获得的两幅或多幅图像进行最佳匹配的处理过程.图像配准需要分析各分量图像上的几何畸变，然后采用一种几何变换将图像归化到统一的坐标系统中。在配准过程中，通常取其中的一幅图像作为配准的标准，称之为参考图像；另一幅图像作为配准图像(Image registration algorithm)

bp网络训练源代码,可用于参数识别,模式分类,如损伤识别,故障诊断等(bp network training, the source code can be used for parameter identification, pattern classification, such as damage detection, fault diagnosis, etc.)

语音滤波短时能量 短时过滤率 端点检测 都能得到相应的仿真波形(Speech s filtering the short time percolation of a short time energy a rate to carry to order examinations can get to homologously imitate true wave a form)

现代数值计算方法所附光盘源码第五部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM Source fifth part (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)