SSB

这是我在网上找的支持向量机的代码，应该比较普通(support vector machine )

wireless sensor networks

这是用itpp库编写的卷积码的解码程序。由于用C++库和Intel的MKL库，所以速度飞快。同样的仿真点数， Matlab2012下用了15分半钟，而这个程序仿真只用了半分钟，相当于是matlab速度的30多倍。(This is itpp prepared for the convolutional code decoding process. Because with C++ libraries and Intel' s MKL library, so fast. The same simulation points under Matlab2012 spent 15 and a half minutes, and this program simulation with only half a minute, the equivalent of 30 times the speed of matlab.)

fem matlab method to solve linear equations

This is Partial Implementation of Affine Invariant Contour Descriptor by Equal Area Normalization.I am working on it.

本人通过MATLAB编写的代码，用于图像识别和语音识别，基于端点检测和基于UehnSk和kmboTAb的孤立词识别和连续语音识别，是我的毕设代码。 (I have written the code in MATLAB for image recognition and speech recognition, endpoint detection and isolated word recognition and continuous speech recognition based onUehnSk and kmboTAb, it is my complete set of code. )

对脉搏信号进行滤波处理后，再进行时域分析和频域分析，提取出脉搏信号的周期、峰值、频率等特征。(After filtering the pulse signal, time domain analysis and frequency domain analysis are carried out to extract the characteristics of pulse signal such as period, peak value and frequency.)

1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。(1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.)

奇异值分解方法计算SVD方法处理最小二乘问题 对主函数进行分析(The singular value decomposition method calculates the SVD method to deal with the least squares problem and analyzes the main functions)

通原实验课上的作业，完成AMI码，延迟调制码等的编码(Pass the original experimental class of operations, complete AMI code, delay modulation code, such as encoding)