The-principal-component-analysis

Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.

识别车牌号的程序,不同文件实现不同的识别功能：P0801：索书号文字图像分割P0802：粘连字符切分P0803：文字识别P0804：彩色车牌分割P0805：商标文字分割 (the car)

signal generation using matlab

simulink获取图像点云并对其进行操作(point cloud based on simulink)

local binary pattern matlab source code

real time implementation for video tracking based on color using particle filter in matlab

最小方差估计 可以依据最小方差估计 来计算某些参量(minimum variance esitimate)

PAPR SLM(PAPR SLM)

matlab做回归分析必看的资料，里面有直线、曲线，一员多元分析具体实现方法(matlab to do regression analysis of data must see, there are lines, curves, more than one yuan of specific method)

有关于OFDM在不同信噪比下的误比特率，大家可以看看啊(on OFDM different signal-to-noise ratio in the bit error rate, we can see ah)