ellipse

说明：  内含8个数学建模的实验报告：线性规划、插值、拟合、非线性规划、蒙特卡洛方法、微分方程、无约束优化、回归分析(Mathematical modeling includes 8 Experiment Report: linear programming, interpolation, fitting, linear programming, Monte Carlo method, differential equations, unconstrained optimization, regression analysis)

PARAFAC 用于多维数据分辨与校正(PARAFAC For multidimensional data resolution and correction)

用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。(It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.)

基于压缩感知的目标DOA估计，以及常规DOA的方法(DOA Estimation Based on Compression Sensing)

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。(Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.)

matlab按鍵測試三次 利用matlab找出圖形()

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.

本人做的关于pwm整流器和逆变的控制方案仿真，方便初学者学习(Control programs on the rectifier and inverter pwm I do simulation, easy for beginners to learn)

代码流程包含：规格化，图像分割，图像平滑滤波，图像增强，图像二值化，图像细化，提取特征，指纹识别(The code includes image normalization, image segmentation, image smoothing and filtering, image enhancement, image binaryzation, image thinning, feature extraction, and fingerprint identification.)

说明：  一本很好的概率基础入门书籍，比国内的写的好(A Basic Course in Probability Theory)