MIT6_011S10_chap09

说明：  先进PID:Smith预估器纯滞后补偿，通过与PID控制器并接，来抵消实测滞后的影响(Advanced PID: Smith Predictor time delay compensation, with the PID controller and then to offset the impact of the measured hysteresis)

matlab有限元，matlab 有限元，matlab 有限元，fem toolbox配套教材(fem toolbox)

说明：  一个neural network的matlab源程序代码(a neural network to the source code Matlab)

这段程序是二阶全通滤波器设计，有幅频响应、相频响应和group delay,供学习者参考(all pass filter of order 2)

对于一组数据求数据频率。绘制频率分布曲线。matlab求频率函数(Statistics_Toolbox of matlab to draw frequency curve)

基于Lucy-Richardson方法的图像复原小程序，用matlab语言实现。(Lucy-Richardson method-based image recovery applet using Matlab language.)

超短脉冲对光学元件的热分布研究，在第j个高斯脉冲打上去之后，元件表明的温度分布情况(The temperature distribution of the heat distribution of ultrashort pulses of optical components, after the j-th Gaussian pulse beat up, elements indicated)

TPC性能仿真程序，实现TPC编码及译码，并画出BER性能曲线。(TPC performance simulation procedures, the TPC coding and decoding, and draw the BER performance curve.)

考虑你在哪里不同的传感器，桥上两侧的汽车造成的振动记录收集数据的情况。当你分析这些信号，则可能需要对齐。假设你有3个传感器以相同的采样速率工作，他们是造成同一事件的测量信号。(Consider a situation where you are collecting data different sensors, recording vibrations caused by cars on both sides of a bridge. When you analyze the signals, you may need to align them. Assume you have 3 sensors working at same sampling rates and they are measuring signals caused by the same event.)

Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. (Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.)