Chapter1

This book contains information about Digital Signal Processing using MATlab

sift纯matlab代码,算法实现比较好，研究sift算法一定能够用的上的(the matlab code of sift,it would be very useful when you research the sift)

基于matlab含风电配电网的潮流计算配有ieee30节点配电网(Power flow calculation based on MATLAB wind power distribution network)

一个用matlab编写的时钟程序，包含了数字钟和传统显示的圆形中，背景是可爱图片。运行时和电脑同步。(a program on a clock which contains a traditional clock and a numerical one，with a lovely background picture。when the program runs ，the clock will keep the pace with the correct time of the computer。)

重力异常的向上延拓程序，很实用，推荐地球物理学生学习(Gravity anomaly upward extension procedure is very useful, recommended geophysics students)

Binary cat search optimization algorithm

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 )

一个求半解正定规划的工具，其中有matlab接口，也可以用来求普通的线性规划等等(a tool for semi definite program)

使用Matlab对图片进行操作时，大量的单张图片不利于操作，此时需要将图片转化为.mat格式，.mat方便我们对数据的处理，使我们更加高效的利用数据。文章中的代码是以PIE数据集作为转换的原始数据，每张图片的名称是连续的数字，相同类别的图片张数相等且名称连续。(When using MATLAB to operate pictures, a large number of single pictures are not conducive to operation. At this time, we need to convert pictures into. mat format. mat is convenient for us to process data, so that we can use data more efficiently. The code in this article is PIE data set as the original data for conversion. The name of each picture is a continuous number. The number of pictures of the same category is equal and the name is continuous.)

说明：  多尺度特征熵，用于机械振动信号特征提取和故障诊断等方面(Multi-scale feature entropy for mechanical vibration signal feature extraction and fault diagnosis)