Optimal-Decision-Boundaries

基于LMS的时延估计算法LMSTDE，改方法的改进版本为ETDE算法，会在稍后上传(Time delay estimation algorithm based on LMS LMSTDE, change the method of an improved version of the ETDE algorithm, will be uploaded later)

k-means clustring algorithms

笔者自行编写的Matlab环境下的人脸识别算法小实验， 采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的 PCA主分量特征，分类算法上仅是基于最小距离分类 (The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier)

关于分形压缩的matlab代码。采用的算法固定分块的算法。适合初学者。(On fractal compression matlab code. The algorithm uses a fixed block of the algorithm. Suitable for beginners.-)

三次B样条曲线、一阶二阶三阶导矢曲线。可用于绘制机器人B样条轨迹的位移、速度、加速度、加加速度曲线图(Cubic B-spline curve, a second-order third-order derivative vector curve. Can be used to draw the trajectory of the robot B-spline displacement, velocity, acceleration, jerk curve)

MODEL BASED ALGORITHM FOR SINGULAR POINT DETECTION

求系统串联滞后校正器传递函数的函数 ，其中sope是系统的开环传递函数，当key=1时，var为gama，是根据要求校正后的相角 稳定裕度计算之后校正器；当key=2时，var=wc，则是 根据要求校正后的剪切频率计算校正器。(Demand system is connected lag compensator transfer function of the function, which sope is the system open-loop transfer function, when key = 1 时, var is gama, is adjusted according to the phase angle required stability margin calculation after corrector when key = 2, var = wc, is the required shear frequencies after correction corrector.)

本程序实现小波在矩阵方程求解中的应用并绘出图形(This program implementation of wavelet in the matrix equations and draw the graph of)

基于MATLAB仿真程序，使用牛顿迭代法，在已知时延先验信息的基础上，对目标实现无源定位。 程序内还包含符号迭代和等值线绘图等角复杂代码。希望对研究无源定位的同志有所帮助。(MATLAB-based simulation program, using Newton s iterative method, the known delay on the basis of prior information on target to achieve passive positioning. Symbols within the program also includes iteration and contour drawing isometric complex code. Hope the study of passive location comrades help.)

The Frequency Domain Decomposition (FDD) is an output-only system identification technique popular in civil engineering, in particular in structural health monitoring. As an output-only algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique which generates a system realization using the frequency response given (multi-)output data