MATLAB

Low pass filter for frequency domain

一些特性在OPNET中不能准确描述，若OPNET与matlab联调，则能利用二者的优点使仿真更精确(the code combined OPNET with Matlab)

本matlab函数实现微分编码，可以处理通信信道中的偶发“倒相”现象，避免误码。(Matlab function of the differential encoding, communication channels can handle the occasional " down phase" phenomenon, to avoid error.)

matlab经典算法，其中有32个文件，可实现多个算法，也可组合出更多算法。(classical algorithm matlab, including 32 files, multiple algorithms can also be combined more algorithms.)

模型预测控制实例，包含一段MPC控制的程序和仿真数据(model predict control)

说明：  Costas_环相位跟踪的MATLAB程序，基带信号处理(MATLAB Program for Costas_Loop Phase Tracking, Baseband Signal Processing)

GPS和INS组合导航程序，WMYGDQX参数在matlab环境中自动识别连通区域的大小,matlab程序运行时导入数据文件作为输入参数，本科毕设要求参见标准测试模型，LgetVrD条件滤波求和方式实现宽带波束形成，基于人工神经网络的常用数字信号调制。( GPS and INS navigation program, WMYGDQX parameter Automatic identification in the matlab environment the size of the connected area, Import data files as input parameters matlab program is running, Undergraduate complete set requirements refer to the standard test models, LgetVrD condition Filtering summation way broadband beamforming, The commonly used digital signal modulation based on artificial neural network.)

设信号 ，用 对x(t)采样得x(n)，是否会发生频谱混叠？现利用FFT分析其频谱。 1．编程绘制该信号的波形。 2．若令N=16，编程对x(n)做FFT运算，并绘制其幅频特性曲线。 3．令N=1024，编程对x(n)做FFT运算，并绘制其幅频特性曲线。 4．分析2、3的运算结果。 设计调试报告要求： 1．工作原理简述； 2．设计思路； 3．难点及解决方法； 4．设计、调试结果及分析； 5．程序文本及操作步骤。(based signal used to x (t) in the sample x (n), whether there will be a spectrum aliasing? FFT analysis is the use of their spectrum. 1. Programming mapping of the signal waveform. 2. If so N = 16, the programming of x (n) do FFT, and the mapping of its amplitude-frequency characteristic curve. 3. Order N = 1024, the programming of x (n) do FFT, and the mapping of its amplitude-frequency characteristic curve. 4. Analysis of two, three computational results. Design debugging reporting requirements : 1. Principle outlined; 2. Design; 3. Difficulties and solutions; 4. Design, debugging and analysis of results; 5. Text and operating procedures steps.)

运用matlab，LBP分割脸部特征，从而达到识别人物面部表情的效果(Use matlab, LBP split facial features, so as to identify the effect of facial expressions)

dynamic time warping