Math2

Simulink仿真基础《过程控制工程及仿真－(simulink simulation)

说明：  分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。(Perceptron algorithm were used, the least square error algorithm, linear SVM classifier algorithm, respectively, making face paint, and compare performance.)

基于线性系统理论的MATLAB编程，包括对线性系统理论的各种实践应用(Based on the linear system theory of MATLAB programming, including the linear system theory of various practical applications)

MATLAB的自组织映射神经网络源码和相应的实验数据(MATLAB' s self-organizing map neural network source code and the corresponding experimental data)

两信号发射机在交叉区域的接受波形图的matlab仿真程序 (The two signal transmitters accepted in the cross-wave region of the matlab simulation program )

实现用里程计简单定位，分为直线和曲线定位。(To odometer simple positioning, and is divided into straight lines and curves)

十进制小数转化二进制小数(补码形式输出),对RAM或ROM设置初值极其方便(decimal metric system conversion binary decimal (Complement forms output), the RAM or ROM set initial extremely convenient)

comparison of Rayleigh fading channel with and without correlation

A new non-linear least squares (NLS) DRSS location estimator that uses correlated shadowing information to improve performance is introduced. The existing maximum likelihood (ML) estimator and Cram′er Rao lower bound (CRLB) for RSS-based localization given do not account for correlated shadowing.

Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spaced time series. Follows cosinor analysis of a time series as outlined by Nelson et al. Methods for Cosinor-Rhythmometry Chronobiologica. 1979. Please consult reference.