自抗扰控制器

高斯混合模型，实测有效，适合各种维度的变量(gmm;gaussian mixture model;Gaussian Mixture Modeling)

D-S证据理论数据融合，现代信号处理中谱估计在matlab中的使用，仿真效率很高的。( D-S evidence theory data fusion, Modern signal processing used in the spectral estimation in matlab, High simulation efficiency.)

八位串行乘法器 缺点：乘法功能是正确的，但计算一次乘法需要8个周期，因此可以看出串行乘法器速度比较慢、时延大。 优点：该乘法器所占用的资源是所有类型乘法器中最少的，在低速的信号处理中有广泛的使用。(Eight bit serial multiplierDisadvantages: the multiplication function is correct, but the computation of one multiplication requires 8 cycles, so it can be seen that the serial multiplier is slow and time-consuming. Advantages: the multiplier occupies the smallest number of resources in all types of multipliers, and is widely used in low speed signal processing.)

基于PWM控制的三相逆变器，采用PI调节，输出电流电压波形稳定。(The three-phase inverter based on PWM is controlled by PI, and the output current and voltage waveform is stable.)

说明：  C++ Primer第四版，光盘源码！如果你已经有电子书了，那赶快来下这个吧！(C++ Primer Fourth Edition, CD-ROM Source! If you already have e-books, then as soon as possible to the right under!)

It is an on-line near infrared spectroscopy data, which is mainly applied to the calculation of chemometrics and the establishment of Near Infrared Qualitative Model

功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。(Power spectrum estimation procedure, selection of one power system harmonics signal as input. Including: burge algorithm, esprit algorithm, music algorithm, mvdr algorithm, pisarenko algorithm, prony algorithm, as amended covariance algorithm, since the correlation algorithm. I own both of these procedures, and procedures of reference books and the number of pages have been marked. After debugging, absolutely correct, please rest assured that use.)

说明：  经典GNSS软件接收机MATLAB程序，完整捕获跟踪环路。(Classic GNSS software receiver matlab program, complete capture tracking loop.)

**压力锅crm方案(** program because of autoclave crm)

说明：  雁群编队控制算法，根据原文进行简化，UAV上可以进行编队控制(Formation Control Algorithms for Wild Goose Groups)