Statistical-Analysis

基于高斯白噪声信道采用M-QAM调制技术的系统，分组错误概率与信噪比函数关系的matlab仿真程序(Gaussian white noise channel with M-QAM modulation system, packet error probability and SNR function of matlab simulation program)

直接序列扩频和跳频扩频直接序列扩频和跳频扩频(直接序列扩频和跳频扩频)

matlab中学习fir、iir滤波器的程序实例，很好的讲解了fir、iir滤波器的应用(matlab learn fir, iir filter process instances, well explained fir, iir filter applications)

关于蝶形宽带微带天线的设计 索引：蝶形宽带微带天线. 设计方案 排列效率 摘要：现在提出一种基于绝缘体衬底的有限长度的宽带微带天线的设计方法。这种方法快速、对计算精度要求较低，是建立在一蝶形天线进行二等分而形成的两个梯形天线的 。首先设计出单边的梯形部分，然后制作出相同的另一部分并在其顶点处将其连接。与理论计算相比在X波段上实验测量表现得很好。其有效带宽达到10.6％ (One approach to an antenna book starts with a discussion of how antennas radiate. Beginning with Maxwell’s equations, we derive electromagnetic waves. After that lengthy discussion, which contains a lot of mathematics, we discuss how these waves excite currents on conductors. The second half of the story is that currents radiate and produce electromagnetic waves. You may already have studied that subject, or if you wish to further your background, consult books on electromagnetics.The study of electromagnetics gives insight into the mathematics describing antenna radiation and provides the rigor to prevent mistakes. We skip the discussion of those equations and move directly to practical aspects.)

matlab中值滤波源代码，对于图像处理的人员有一定的参考意义。。(median filter matlab source code for image processing personnel have some reference value. .)

说明：  空域相关滤波是基于小波系数尺度之间相关性原理。 %比较适用于高信噪比信号(Spatial correlation filtering is based on the correlation principle between wavelet coefficient scales. % is more suitable for high SNR signals)

支持向量机的matlab程序实现，可用于模式分类，模式识别(SVM matlab program can be used for pattern classification, pattern recognition)

说明：  独立分量分析代码（matlab编写）有很强的试用价值(Independent Component Analysis code (matlab preparation) has a very strong trial value)

说明：  一维杆单元有限元分析，包中有详细的WORD文档说明(One-dimensional finite element analysis of beam elements, including the documentation detailed WORD)

运用有限差分方法求解二阶边值问题，x" + a1*x’ + a0*x = u with x(t0) = x0, x(tf) = xf(solve BVP2 by the finite difference method)