Optimization

图像的光流法计算的matlab程序,计算多重分形非趋势波动分析，基于人工神经网络的常用数字信号调制。( Image optical flow calculation matlab program, Calculate the multifractal trend fluctuation analysis, The commonly used digital signal modulation based on artificial neural network.)

压缩机的matlab 仿真，燃气轮机的仿真模块(yasuoji simulink)

QPSK信号在加入白高斯噪声（AWGN）后，用matlab进行仿真，并绘制了误码率图形。( The QPSK signal after joining the white gaussian noise (AWGN), carries on the simulation with matlab, and has drawn up the error rate graph. )

一个量化噪声分析程序。该代码是不长，只供参考。学生专用的试验。(One of the quantization noise analysis program. The code is not long for reference only. Students of special test.)

Zernikz descriptors: the similarity measure based on the descriptor should deliver a similarity ordering that is close to the application driven notion of resemblance.

narrow-band interference suppression in order to avoid the narrow band communication systems has been caused by interference

for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to see how well decompression works

Robotics Toolbox for Matlab(The Toolbox has always provided many functions that are useful for the study and simulation of classical arm-type robotics, for example such things as kinematics, dynamics, and trajectory generation. The Toolbox is based on a very general method of representing the kinematics and dynamics of seriallink manipulators. These parameters are encapsulated in MATLAB R objects—robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well know robots such as the Puma 560 and the Stanford arm amongst others. The Toolbox also provides functions for manipulating and converting between datatypes such as vectors, homogeneous transformations and unit-quaternions which are necessary to represent 3-dimensional position and orientation.)

基于叶素动量定理对风力机叶片外形参数进行设计，考虑了叶尖损失和叶毂损失；对计算的弦长和安装角进行了多项式修正；生成数据存入excel中，为接下来的三维建模做准备；(Blade element momentum theory of wind turbine blade form factor design, taking into account the loss of tip and hub loss based the calculation of the chord length and angle of installation of a polynomial correction generating data into excel, and for the next three-dimensional construction prepare the mold )

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.