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一种增量的人脸识别算法——增量PCA学习算法（matlab实现）(A face recognition algorithm incremental- incremental PCA learning algorithm (matlab achieve))

dv-hop算法的matlab仿真编码 (dv-hop algorithm matlab simulation code)

一次分类支持向量机程序，可用于故障诊断中，对故障进行分类识别(A support vector machine classification procedures can be used for fault diagnosis, classification and identification of faults)

潮流准调和分析 Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd(y,D,Y,tm,A1) 计算6个准调和分潮的振幅系数和初相角公式 aM.m [N n aa liu_u liu_v]=aM() 基础系数矩阵，目前D和d值是取用的各段数据的中间时间值，t是以中间为0左右对称取； 视差潮龄A1需要预先得知 同时本程序负责读取原始测流数据，格式为 站位名称 观测数据段数N（即大 中 小潮） 第一段起始时间YYYY MM DD HH mm ss 第一段个数n1 speed direction speed direction ... 第二段起始时间 YYYY MM DD HH mm ss 第二段个数n2 speed direction speed direction ... 第三段起始时间 YYYY MM DD HH mm ss 第三段个数n3 speed direction speed direction ... UVg.m [U V Ug Vg]=UVg() 求调和常数U V和迟角Ug Vg Tuoyuan.m 计算各准调和分潮的椭圆要素W theta K k (The quasi harmonic analysis of tidal current Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd (y, D, Y, TM, A1) calculation of 6 quasi harmonic division of amplitude and initial phase angle formula of the coefficient of tide AM.m [N n AA liu_u liu_v]=aM () foundation coefficient matrix, the current D and D values are the middle time of each section of data taken the value of T is in the middle for symmetric about 0 Age of parallax A1 need to know in advance At the same time, this program is responsible for reading the original flow measurement data, format for Site name The observation data segment number N (that is, in the low tide) The first section of the YYYY MM DD HH mm the starting time of SS The first section number N1 Speed direction Speed direction ... The second section starting time YYYY MM DD HH mm SS The second section number N2 Speed direction Speed direction ... The third section starting time YYYY MM DD HH mm SS The third section number )

EOF分析的一个基础，里面有matlab基础的程序(EOF analysis based on matlab program)

生成不同周期的罗奇光栅，或正弦光栅，用于结构光扫描。(grating generate standard_sinusoidal pattern generate structured light scanning)

Stepper motor simulation

Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies. The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method for modelling almost any type of data.

说明：  基于MATLAB实现的LMS和rls算法，通过测试，可以输出学习曲线和误差曲线(MATLAB-based implementation of the LMS and rls algorithms, testing and can output the learning curve and error curve of)

image encryption using MATLAB