PSOGSA_v3

burg算法的具体实现，计算步骤完全参考胡广书数字信号处理(burg concrete realization of the algorithm, calculation steps Complete Reference, Hu Guang-shu digital signal processing)

Hardware definitions for PalmTX.

基于matlab的模糊逻辑方面的国外资料，介绍了如何用matlab实现模糊理论。(The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of commerce is performed without a single banknote or coin ever being exchanged. Similarly, airports can safely land and send off airplanes without ever looking out of a window. Another, more individual, example is the increasing use of electronic personal organizers for organizing meetings and contacts. All these examples share a similar structure multiple parties (e.g., airplanes or people) come together to co-ordinate their activities in order to achieve a common goal. It is not surprising, then, that a lot of research is being done into how a lot of mechanics of the co-ordination process can be automated using computers.)

说明：  GB∕T 38146.2-2019 中国汽车行驶工况 第2部分：重型商用车辆工况循环mat文件(GB / T 38146.2-2019 driving conditions of Chinese vehicles Part 2: mat documents of heavy commercial vehicles)

matlab的模糊数学工具箱,帮您处理更多非二元问题(the Fuzzy toolbox of MATLAB)

HISTOGRAM_DISPLAY makes a stacked bar plot of a set of histogrammed data.

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

数据处理及误差分析采用了matlab软件来实现，它的界面虽然没有VB等直观简便，但其可调用的函数多，实现起来比较方便，程序中已经实现的功能有： （1）求算术平均值； （2）求残余误差（绝对误差）； （3）求标准差； （4）判断粗大误差，如果发现粗大误差,剔除粗大误差后再进行计算； （5）判断数据是否具有线性误差或者周期性误差。 (Data processing and error analysis using matlab software to achieve, its intuitive interface, while not VB so simple, but its function can be called many realize it was easier, the program has been implemented features are: (1) Find the arithmetic mean (2) Find the residual error (absolute error) (3) Find the standard deviation (4) to determine gross error, if found to gross error, calculated after excluding gross error (5) to determine whether data has linear error or Periodic error.)

低通滤波器的实现，内含输入信号的频谱分析，以及滤波输出后的频谱分析。(Low to filter whose input signal, including the spectral analysis and output of the spectral analysis. )

ＬＭＳ算法用于系统辨识的MATLAB源码(LMS algorithm for system identification MATLAB source)