intro-se

FUZZY LOGIC WITH ENGINEERING APPLICATIONS(2nd Edition) Author: Timothy J. Ross Introduction:The second edition of this text has been ‘‘on the drawing board’’ for quite some time.Since the first edition was published, in 1995, the technology of fuzzy set theory and its application to systems, using fuzzy logic, has moved rapidly.

Multivariate Linear Regression

现代通信系统MATLAB第二版，所有仿真程序，对于初学者很有用(Modern communications system, all the second edition of MATLAB simulation program for beginners is very useful)

锁相频率合成器的simulink模型，可验证电路设计的工作过程和合理性。(Phase lock loop)

matlab求解reynolds方程程序(matlab program for solving Reynolds equation)

用途：三阶样条插值（一阶导数边界条件） 格式：m=maspline(x,y,dy0,dyn,xx), x为节点向量，y为数据， dy0,dyn为左右两端点的一阶导数如果xx缺省，则输出各节点的 的一阶导数值，，m为xx的三阶样条插值(Uses: third-order spline interpolation (first order derivative boundary condition) format: m = maspline (x, y, dy0, dyn, xx), x is the node vector, y for the data, dy0, dyn left and right ends of points a derivative, if xx default, then the output of each node of the of a first derivative values,, m for the third-order spline interpolation xx)

pplane8 is an interactive tool for studying planar autonomous systems of differential equations. When pplane8 is executed, a pplane8 Setup window is opened. The user may enter the differential equation and specify a display window using the interactive controls in the Setup window. Up to 4 parameters may also be specified. In addition the user is give a choice of the type of field displayed and the number of field points.

说明：  时变参数向量自回归模型的估计代码以及模型应用方法(Estimation code and application of Time-Varying parameter vector autoregressive model)

Numerical methods for Speacial Functions for matlab

GPS和INS组合导航程序，是国外的成品模型，计算加权加速度,使用拉亚普诺夫指数的公式，包括最小二乘法、SVM、神经网络、1_k近邻法,车牌识别定位程序的部分功能，一种噪声辅助数据分析方法。( GPS and INS navigation program, Foreign model is finished, Weighted acceleration, Raya Punuo Fu index using the formula, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Part of the license plate recognition locator feature, A noise auxiliary data analysis method.)