EO

说明：  工具箱包含大量执行时域分析的算法，特别用于二次能量分布的情形，这些算法通过分配问题得到改进。希望能对大家有所帮助！(The toolbox contains numerous algorithms performing time-frequency analysis with a special emphasis on quadratic energy distributions of the Cohen and affine classes, and their version enhanced by the reassignment method.)

变压器经济运行分析软件，基于matlab的 GUI界面，填入变压器参数，运行即得到运行曲线和标注的最经济运行点。(Economic performance analysis of transformer)

牛顿迭代法函数，有6个参数，可缺省后3个参数；动态画出迭代过程(Newton iteration function, there are 6 parameters, 3 parameters after the default dynamic iterative process to draw)

spectal substraction

matlab的60个小程序，自己找的，感觉不错，可以当模板来用，供大家学习与交流。(matlab 60 small programs, they seek for themselves, feel good, when the template to use for them to learn and exchange.)

进一步采用基于距离和曲线形态的双尺度相似性度量谱聚类算法进行聚类处理，通过求n 个二次规划问题，就可以求得相似度矩阵W，降低了谱聚类算法对参数的敏感性，使算法更稳定(Furthermore, we use the two-scale similarity measure spectrum clustering algorithm based on distance and curve shape to carry out clustering. By finding n quadratic programming problems, we can obtain the similarity matrix W and reduce the sensitivity of the spectral clustering algorithm to the parameters Sex, make the algorithm more stable)

Eigenface core matlab code

1. 图像二值化 2. 边界跟踪，去除离散点 3. 边界提取 4. 删除短边 5. 区分河流与道路 先找到桥梁，利用桥梁上的种子点 对道路进行跟踪，从而提取整条主干道。 (1 image binarization 2boundary tracking, removal of discrete points 3 boundary extraction 4 Remove the short side 5 distinguish rivers and roads the curvature is too large) First find the bridge, the bridge on the use of seed points on the road to follow, thereby extracting the whole trunk.)

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)

it is a matlab program that describes DVB-S channel and simulation of Viterbi decoding