RLS-MSEsim_MsePred

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)

matlab实现的史密斯圆图 可以用来辅助其他程序(Smith chart)

包含特征值与特征向量的提取、训练样本以及最后的识别，信号维数的估计，小波包分析提取振动信号中的特征频率。( Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Signal dimension estimates, Wavelet packet analysis to extract vibration signal characteristic frequency.)

该程序实现了几种线路码的编译过程。包括编码和译码的过程，绘制有关的性能曲线、频谱图和波形图，还有纠错的能力。(the realization of several lines of code compile process. Including the coding and decoding process, drawing on the performance curve, spectrum and waveform charts along with error-correcting capabilities.)

principle component analysis is powerfull matlab source for face recognition.

研究生学习期间，优化方法课程中无约束线性规划的DFP的matlab程序(DFP matlab program)

目标因子分析，用于找寻主因子数的个数，用途广泛(Target factor analysis, to find the main number for the number of factors, versatile)

车牌识别源程序，可以识别很多角度，很好的呀(License plate recognition source code, you can identify in many ways)

Canny edge detector algorithm matlab codes This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure: • Subfigure 1: The initial "lena" • Subfigure 2: Edge detection along X-axis direction • Subfigure 3: Edge detection along Y-axis direction • Subfigure 4: The Norm of the image gradient • Subfigure 5: The Norm of the gradient after thresholding • Subfigure 6: The edges detected by thinning

人脸的面部特征提取，有很好的效果，直接解压就可以使用(Face facial feature extraction, have very good effect, direct decompression can use )