zidongfenjifenge

camera UAV Gimbal matlab

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

本程序实现了最低有效位水印的嵌入以及提取过程，经仿真，可以用(This procedure implements the least significant bit of the watermark embedding and extraction process, the simulation can be used)

说明：  基于主成分分析(PCA)的人脸识别系统。(Based on principal component analysis (PCA) of face recognition systems.)

基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真(Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of complex lighting conditions in human face images effective feature capabilities. Wavelet transform feature extraction matlab simulation)

说明：  NR法和PQ法潮流计算程序，均是由matlab编写而成的。(NR method and the PQ load flow calculation program)

The following Matlab project contains the source code and Matlab examples used for a pretty seashell gui. This GUI draws a seashell, using a parametric surface. The parameters of the seashell can be modified with sliders and buttons in the GUI. See also the seashell.m file, also on MATLAB Central (with no GUI). The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there

一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )

Stepper Motor Simulation

说明：  卡尔曼滤波的算法，有两个程序。同时有对应的说明和论文。(Kalman filter algorithm, there are two procedures. At the same time, there are corresponding explanations and papers.)