BER_BPSK

说明：  里面包含很多MATLAB时频分析的程序，很有用。通过稍微改动就可以应用到其他的地方。(matlab source program)

2维music定位算法，matlab源程序，对仿真者有很大帮助(2-dimensional positioning algorithm for music, matlab source, the simulation of great help to those who)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

基于支持向量机分类算法的matlab程序(Matlab program based on support vector machine classification algorithm)

魏凤英编著的《现代气候统计诊断预测技术》一书中有关于用Mann-Kendall法检测1900～1990年上海年平均气温序列突变的例子(Wei Fengying compiled the " Diagnostic Statistical prediction of modern climate," a book about the Mann-Kendall detected by 1900 the average temperature in Shanghai in 1990 an example of the mutations)

ART迭代算法重建图像 matlab 可放到其他语言环境中使用(ART iterative image reconstruction algorithm matlab environment can be put to use in other languages)

分形曲面的matlab简单程序，已经测试过。(Fractal surface matlab simple procedure, has been tested.)

zzzzz_qftdemos matlab/simulink

主要用于控制Boost电路的电压和电流，使用了神经网络，FGM，ADMM等控制算法(Mainly used to control the voltage and current Boost circuit using a neural network, FGM, ADMM and other control algorithm)

说明：  数据统计描述 第一节 数据分析中常用的统计量及其分布 第二节 频数变量数据特征描述 第三节 综述变量数据特征的描述 第四节 数据分析过程的记录与重现(Data described in section I of data analysis commonly used in statistics and their distribution in section II, the frequency characteristics of variable data variables described in Section III Summary data on the characteristics of the process of data analysis described in section IV of the record and reproduce)