Moments-simulation

基于MATLAB的IIR滤波器设计，用MATLAB语言进行编程，供滤波器设计者参考(Based on the MATLAB IIR filter designing, MATLAB programming language, for filter designers)

本文基于MATLAB/SIMULINK动态仿真环境，以实例阐述了建立脉冲编码调制通信系统仿真模型的一般方法。根据该系统的基本原理将整个模型划分为抽样﹑量化﹑编码等几个子系统，并在传输线路上加入高斯白噪声以检验该系统的传输质量和抗干扰能力。(Title Design and Simulation for PCM communication system Abstract )

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

matalab similink 坐标变换 仿真建模(matalab similink ab to dq0 simulation)

shadow detection paper from net,it is value

弹头温度检测程序，通过检测光纤的熔断判断弹头表面的温度情况。(Warhead temperature detection program, by detecting the optical fiber fusing surface temperatures judgment warhead.)

circiut battery charger used with inverter circiut

GM工具积分属性修改-by_精湛架设-奇迹私服一条龙-奇迹SF版本(GM Tools integral attribute modification-by_ superb erection- PW train miracle- a miracle SF version)

MATLAB—linear equation with one unkown(linear equation with one unkown)

电极系测井曲线 用matlab编写的用于学测井同学用(Electrode system logs using matlab for students with learning logs)