ls2apmf

SCM code, including code, picture, application.

最优分类法，用于找出数据的变差举证，并确定分类数(Optimal classification of evidence used to identify the data variation and to determine the number of classification)

有关grouplet小波变换的一些源代码，主要用于图形图像处理(Some of the grouplet wavelet transform source code, mainly for graphics and image processing)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

satellite communication

用蝙蝠算法（BA）对极限学习机（ELM）的输入权值和偏执进行进行优化，其诊断精度有明显提升。(With bat algorithm (BA) on Extreme Learning Machine (ELM) input weights and paranoia were optimized diagnostic accuracy has improved significantly.)

OFDM程序示例：采用64子信道，应用16QAM传输，每个子载波均传输相同的比特数4，不使用信道编码；使用迫零均衡和MMSE均衡，比较两者性能。(OFDM procedures Example: a 64-channel, application 16QAM transmission, each transmission subcarriers are the same number of bits 4, do not use channel coding the use of force balance and MMSE zero balance, compare the performance.)

数值分析 (Numerical Analysis)

用于辐射状网络matlab前推回代潮流计算，文中附有两个案例(For the front radial network matlab backward sweep flow calculation, the paper with the two cases)

function for lpcc feature extractions.functions taken from voicebox toolbox