1MRF

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

Image Processing and Moments...

完成机器视觉里反透视变换功能，可以确定敢兴趣区，确定图像到实际道路的分辨率(completion of the anti-machine vision Lane perspective transformation function, it is possible to identify am interested in the district to determine the actual images of the road resolution)

非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。 (Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)

显示WMF格式位图！(show WMF format bitmaps!)

利用Orb算法实现图像特征点的提取，并且通过前后两帧之间的特征点进行特征匹配，为视频稳像、图像融合以及图像识别提供前提条件。(Detecting feature points using Orb algorithm, then matching the points with the detected points frames.That method provide one new way to video stablization ,image fusion and image recognition etc. )

测距应用广泛，普通标尺测距很难达到精微测距的要求，激光在这方面有着明显的优势，本文更是运用相位来进一步提高检测的精度！(Ranging widely, ranging ordinary scale ranging requirements difficult to achieve subtle, laser has a distinct advantage in this regard, this paper is the use of phase to further improve the detection accuracy!)

均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recognition Application Development)

说明：  MATLAB光谱图绘制，能够画出可见光波长下的光谱图(Matlab spectrum drawing, can draw the spectrum under the visible light wavelength)

利用matlab画完整版中国地图包括台湾和南海海上边界线，中国地区高度分布图(height distribution map in China)