ssa

根据刘金坤老师那本PID控制书籍，搭建的单神经元PID控制仿真模型(According to that PID control books of Liu Jinkun teacher , this is a single neuron PID control simulation model)

《MATLAB时尚百例实例》实例28-41()

Communition MATLAB (Proakis)中的源程序，很不错(Communition MATLAB (Proakis) of the source, it is good)

说明：  ％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.( For the following 2-class problem determine the decision boundaries obtained by LMS and perceptron learning laws.)

STK(卫星仿真工具箱)/matlab联合仿真，带GUI软件界面（matlab）。场景演示的例程，可以作为一个仿真开发的基础平台。(STK/matlab joint simulation, a good example with GUI)

fdtd 在自由空间没有吸收边界的情况下的代码(1D FDTD simulation in free space Without Absorbing Boundary Condition )

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

Kalman滤波跟踪目标运行时需添加数据，并修改路径(Kalman filter tracking target runtime needs to add data, and modify the path )

A Simple Singular Value Decomposition matlab code to compress an image

基于粒子群算法的PID控制器优化设计，注释说明清晰，程序运行顺畅(Based on Particle Swarm Optimization Design of PID controller, clear explanatory notes, the program runs smoothly)