PnGen

利用MATLAB绘制图形，并用鼠标拖拉矩形框，选中图形局部放大后，绘制在原图形的右上角，使得局部细节更清晰(Using MATLAB to draw graphics, and drag a rectangle with the mouse, select the graphics local amplification, drawn in the upper right corner of the original graphics, making the local details more clearly)

说明：  Matlab例子，网上下载，仅用于学习交流。(Matlab example, downloading, only for learning exchanges..)

Harmony Search Algorithm

Finger print authentication system

自抗扰控制器自写，调节参数可用。含TD跟踪微分器，NLSEF非线性反馈律，ESO扩张状态观测器(Self rejection controller is self written, and the adjustment parameters are available)

高斯加性白噪声的ＭＡＴＬＡＢ　简单易懂的编码程序　(High places like the white noise of the MATLAB simple coding procedure)

Kalmanfilter for Demonstrate to Students

基于交互式多模型的多目标跟踪算法与程序设计代码(Interacting multiple model-based multi-target tracking algorithms and programming code)

说明：  KSVD算法PPT，很好很生动形象，易懂(KSVD)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )