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Ransac matrix functions example 1

matlab经典绘图案例。包括三维曲面z=x^2+y^2的动画、正弦曲线的动画、切片图、向量图、三维彗星图、三角形网格图、三角形表面图、球面、等值线图、三维瀑布图、三维火柴杆图、三维散点图、柱形图、三维条形图、三维饼图、带形图、曲线图、高斯分布函数的曲面图、高斯分布函数的网格图、5阶高斯分布矩阵、梯度场矢量图、罗盘图、玫瑰花图、羽列图、数据向量的单轴对数坐标图、矩阵的条形图 矩阵的面积图、二维饼图、散点图、误差图、火柴杆图和碗状曲面图等等。 (Drawing matlab classic case. Including three-dimensional surface z = x ^ 2+ y ^ 2 animation, animated sine curve, slices, vector graphics, three-dimensional map comet, triangular grid map, triangular surface plots, spherical, contour, 3D waterfall, three-dimensional grid graph matchstick figure, three-dimensional scatter plot, bar chart, the three-dimensional bar charts, three-dimensional pie charts, strip charts, graphs, surface, Gaussian distribution function, the Gaussian distribution function, fifth-order Gaussian distribution matrix gradient vector field, compass, rose diagram, feather column chart, the data vector uniaxial logarithmic graph, bar graph matrix Area chart matrix, two-dimensional pie charts, scatter plots, error plots, matchstick figure and bowl surface map and so on.)

UWB，超宽带信号分析必用的子函数，第12部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 12!)

link matlab to visual studio

matlab 新手学习资料，主要讲的是开发GUI(this basic document is for learning MatLab GUI, suitable for the fresh.)

利用最小二乘法实现pi模型的离线辨识和在线辨识(Parameter identification of hysteresis PI model)

matlab一些非常经典算法的程序以及说明(Matlab some very classical algorithm and on the procedures)

利用叠加和梯度值来分别进行人脸识别，正确率分别为40 和96 。Matlab 代码。(Superposition and the gradient values, respectively, face recognition, the correct rates were 40 and 96 . Matlab code.)

此程序是基于MATLAB的QAM调制程序，使用起来简单易学。(This procedure is based on the MATLAB-QAM modulation procedures, use easy to learn.)

可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用(ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab code "joint_diag.m". this is by Jean-Franc{c}ois Cardoso. You have to put the code under this directory "ica". usage is function [Y1,Y2] = ica_f(X,NFFT,FS,OVERLAP,N) )