PID_Controller_Matlab_Code

球形粒子Mie 散射用Matlab编写的Mie theory计算程序(Mie scattering of spherical particles with a Matlab computer program written in Mie theory)

power_seriesload,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_seriesload ,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

本程序是雷达SAR图像算法的经典程序集合，包含波数域算法，RD算法和CS算法，对于学习SAR成像非常有帮助(This procedure is a SAR radar image of the classic algorithm collection procedures, including the wave number domain algorithm, RD algorithm and CS algorithm for SAR imaging study very helpful)

刘金琨《智能控制》书本的所有源程序。都是用matlab编的，希望大家有用。(Jinkun "intelligent control" all source books. Matlab is used addendum to the hope that it may be useful.)

利用LQR方法计算反馈增益，没什么好说的，看看就知道了，也许有挺大作用呢(LQR calculated using the feedback gain, and there is nothing more to be said, look at the know, it may be Tingda role?)

Md5 matlab source code

图分割算法中的优化算法中的谱算法中的平均分割算法A-cut（average-cut ）(Figure segmentation algorithm in the optimization algorithm in the spectral segmentation algorithm, the average A-cut (average-cut))

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)

Materials Studio培训教程，从基础讲起，是比较全面的学习资料。(Training course, the foundation, it is a relatively comprehensive learning materials.)

合成孔径雷达（SAR)目标成像仿真，粒子图像分割及匹配均为自行编制的子例程，isodata 迭代自组织的数据分析，时间序列数据分析中的梅林变换工具，一些自适应信号处理的算法，关于神经网络控制，IMC-PID是利用内模控制原理来对PID参数进行计算。( Synthetic Aperture Radar (SAR) imaging simulation target, Particle image segmentation and matching subroutines themselves are prepared, Isodata iterative self-organizing data analysis, Time series data analysis Mellin transform tool, Some adaptive signal processing algorithms, On neural network control, The IMC- PID is using the internal model control principle for PID parameters is calculated.)