xiagao3

运动控制里椭圆的轨迹规划问题，应用matlab编程，等弦差方法(Motion Control in elliptical trajectory planning problem, apply the matlab programming, and other chordal deviation method)

说明：  Matlab/Simulink中搭建卡尔曼滤波系统，可获得经滤波后信号。(A kalman filter system was built in Matlab/Simulink to obtain filtered signals.)

matlab在化学中的应用，有很多例子 是转载的(matlab in chemistry, there are many examples are reproduced)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

DOA估计，窄带单频信号，将均匀园阵虚拟成线阵，再运行ESPRIT算法(DOA UCA ESPRIT )

卡尔曼滤波的程序，希望对大家有所帮助，这是一个下载的程序(Kalman filtering process, we hope to be helpful, this is a download procedures)

神经网络，RBF聚类法和RBF自组织法的函数逼近的实现(Neural network, RBF clustering method and self-organizing RBF function approximation method to achieve)

说明：  形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。(MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.)

一种对Toa定位算法进行性能分析的算法源代码，图形展示了Toa的性能，希望采纳(Kind of Toa localization algorithm for performance analysis algorithm source code, graphics showing the performance of Toa, and hope to adopt)

景振毅《MATLAB7.0实用宝典》光盘源代码。MATLAB是目前最流行的应用于科学和工程计算的高性能软件之一。《MATLAB7.0实用宝典》针对MATLAB7.0版本，由浅入深、循序渐进地讲述如何使用MATLAB的各项常用功能。(Jing Zhen Yi " MATLAB7.0 Utility Collection" CD-ROM source code. MATLAB is the most popular used in scientific and engineering calculations, one of high-performance software. " MATLAB7.0 Practical Collection" against MATLAB7.0 version, Deep step by step on how to use the popular MATLAB features.)