newencoder

支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器. (Support vector machine, the source code)

一维FDTD计算S参数范例，采取时域频域傅立叶变换(S-parameters of one-dimensional FDTD calculation example, take the Fourier transform time-domain frequency domain)

STBC-OFDM中Alamouti的仿真实现,包括信道编译码和二进制信源(STBC-OFDM in the simulation implementation Alamouti, including channel encoding and decoding and binary source)

说明：  一篇关于SIMULINK实时设计的文章，很不错的资料，互相学习一下吧。(SIMULINK real-time design of an article on the article, very good information, learn from each other about it.)

说明：  matlab 多元线性回归模型求解 实现对多影响因素的分析(matlab Linear_regression)

mfcc用于求取训练样本的特征值，其需要melbankm和enframe两个程序。 enframe用于将语音分帧，melbankm用于产生mel三角滤波器组，vqlbg用于获取说话人码书，disteu程序用于计算两个矩阵间的距离，(mfcc strike eigenvalues ​ ​ for the training sample, which requires melbankm and enframe two procedures. enframe for the voice of the frame, melbankm used to produce the triangular mel filter bank, vqlbg codebook is used to get people talking, disteu procedures used to calculate the distance between two matrices,)

code for local binary pattern

Testing functions with double-byte names.

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改进版的bp神经网络算法编程 可以正常运行 (An improved version of the bp neural network algorithm to the normal operation of programming)