tongliangliuliangyouhua

基于simulink环境下的模拟无源Rc及巴特沃斯低通滤波器设计(Simulink environment of analog and passive Rc and Butterworth low-pass filter design)

Matlab 的 一个 应用实例， 用于绘制 频谱。(Matlab an application for mapping the spectrum.)

很好的学习matlab的资料，很精细，适合于初学者，有助于突飞猛进(Good learning matlab, very fine, suitable for beginners, contribute to the rapid)

利用PO修正MM-UTD计算机载波导缝隙天线阵的方向图(Use PO correction MM-UTD computer containing waveguide slot array antenna pattern)

基于粒子群算法的PID控制器优化，需含simulink，程序可以运行(Based on Particle Swarm Optimization PID controller is required with simulink, the program can run)

GUIA DE AUTOAPRENDIZAJE PARA VISUAL BASIC

通信原理仿真 码型反变换的仿真实现 Ⅰ、基本任务：由抽样判决后的AMI码型和CMI码型数字序列恢复出原始的PCM脉冲编码信号。 主要步骤和要求： （1）由抽样判决后的AMI码型数字序列恢复出原始的PCM脉冲编码信号（0、1信号）。要求抽样判决后的AMI码型数字序列可以是数字型也可以是字符型；要求画出码型反变换前后的波形图。 （2）由抽样判决后的CMI码型数字序列恢复出原始的PCM脉冲编码信号。要求抽样判决后的CMI码型数字序列可以是数字型也可以是字符型；要求画出码型反变换前后的波形图。 Ⅱ、选做任务：由抽样判决后的HDB3码型数字序列恢复出原始的PCM脉冲编码信号。 主要步骤和要求： 由抽样判决后的HDB3码型数字序列恢复出原始的PCM脉冲编码信号（0、1信号）。要求抽样判决后的HDB3码型数字序列可以是数字型也可以是字符型；要求画出码型反变换前后的波形图。 (Communication theory simulation Fifth problem, Pattern Simulation of inverse transform Ⅰ, basic tasks: decision by the sampling pattern after AMI and CMI pattern sequence to recover the original digital PCM pulse code signal. Main steps and requirements: (1) post-judgment by the AMI code sample digital sequence to restore the original PCM pulse code signal (signal 0,1). AMI requires post-judgment sampling digital code sequence can also be a numeric character asked to draw a pattern waveform before and after the inverse transform. (2) post-judgment by the CMI sampling digital code sequence to restore the original PCM pulse code signal. Requirements of post-judgment CMI sampling digital code sequence can also be a numeric character asked to draw a pattern waveform before and after the inverse transform. Ⅱ, choose to do the task: the post-judgment by the sample type HDB3 code sequence to recover the original digital PCM pulse code signal. Main steps and requirements: Pos)

数字滤波器 常用数字滤波器函数，包括高通、低通、带通、带阻(digital filter)

用bp网络 实现神经网络学习算法 可以在matlab直接运行 其中有些参数可以自由根据情况改动(bp)

说明：  对OFDM系统中的基于循环前缀的符号定时同步进行了仿真。(On the OFDM system based on cyclic prefix for symbol timing synchronization is simulated.)