trans_line1

MATLAB的函数大全，基本上所有的内置函数都有了。(MATLAB function Daquan, basically all have a built-in functions.)

SG5点滤波，主要用于高光谱数据处理的滤波(SG5-point filter, the main data processing for high spectral filtering)

通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)

此代码包含常见的线性调频雷达信号的去斜处理，时域上与参考信号进行混频时选择的起始时刻，以及加窗的注意事项(This code contains the common chirp radar signals dechirping, starting time of the selected mixing with the reference signal in the time domain, and precautions windowed)

波束形成算法中一种变换形式的极坐标算法（与传统的极坐标算法不同）(Polardb is a modified version of the regular polar function.)

这是VAD有关代码。也就是说为了在音声中找到activity voice 用GAET方法来决定阈值，然后判别了无音区间。(voice activity detection)

program of matlab GUI 精通matlab GUI光盘代码(Proficient in matlab GUI CD code)

利用DFT实现两轮信号相位差计算，包含谐波信号污染，白噪声信号污染分析(Phase difference between two signals to achieve the use of DFT calculations, the signal containing harmonics pollution, contamination white noise signal analysis)

说明：  螺旋桨PID控制 In response to constant pressure to design more efficient, faster, smaller, and better systems, engineers are constantly looking for ways to improve existing designs or replace them with better ones. Facing large fuel costs, the aerospace industry in particular has been researching alternative designs to increase fuel efficiency and performance. One such alternative is the development of reconfigurable aircraft wings. These wings would be able to adapt to the current environment increasing lift or reducing drag when appropriate. (PID control of the propeller In response to constant pressure to design more efficient, faster, smaller, and better systems, engineers are constantly looking for ways to improve existing designs or replace them with better ones. Facing large fuel costs, the aerospace industry in particular has been researching alternative designs to increase fuel efficiency and performance. One such alternative is the development of reconfigurable aircraft wings. These wings would be able to adapt to the current environment increasing lift or reducing drag when appropriate.)

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0