DSP

emd code with detail commnet

先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_5.rar (Liu Jinkun advanced first pid matlab simulation program version of the first chapter pid matlab simulink liujinkunc hap01_5.rar)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

本书详细介绍了基于近场测试数据的逆散射问题的相关知识及其具体应用，这是近场问题的一个很好的例子，在人们都关注高频远场问题的背景下，提出近场的问题，对于计算电磁学的发展很有启发意义，我们的工程实际中，除了高频远场的应用外，低频近场也占有很大的份额，基于进场的反演是一个新兴的课题，需要我们共同去研究！(Book introduced in detail based on near field test data of the inverse scattering problem related knowledge and its practical application, this is a very good example of near field problems, people are concerned about the background of far field problem of a high frequency in the, near field is proposed, for the development of electromagnetism calculation is instructive. In the actual engineering, in addition to the high-frequency far field of application, low frequency near-field also occupies a large share of, based on the inversion approach is a new and developing subject, we go to study!)

Diskstra最短路径算法的c++源程序，以及编译好的matlab动态链接库，学习留形学习算法及程序必备。(Diskstra shortest path algorithm c++ source code, and compiled matlab dynamic link library, learning algorithms and procedures remain an essential form of learning.)

public guideness for swarm Ops in Matlab

vmd分解程序，修改版，可以用于处理实测振动信号。(vmd decomposition process, a modified version can be used for processing the measured vibration signal.)

我的学习经验，一种自适应分频及分频方法的实现，很好用的哦(my learning experience, an adaptive frequency-frequency method and the realization of the good, oh )

光栅的耦合模求解，分析了脉冲的传输特性，时延特性等(Grating coupled-mode solution, analysis of the pulse transmission characteristics, delay characteristics)

数字信号处理源代码，清华大学数字信号处理研究生教材课后习题代码(Digital signal processing source code, digital signal processing, Tsinghua University graduate teaching after-school exercise code)