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Using matlab to demo

说明：  这个是RS的原代码，几个文件一起仿真，很有用的(This is the original RS code, with the simulation of several files, very useful)

无线传感器网络协议的生命周期和稳定周期对比(Wireless sensor network protocol and stability of periodic comparative life cycle)

数学频谱分析仪,主要是对于频谱的分析，能够有图显示。(Mathematical spectrum analyzer, such as the title, in the inside the mathematical spectrum analyzer, such as title, inside.)

小波包分析提取振动信号中的特征频率，用谱方法计算流体力学一些流动现象的整体稳定性,给出接收信号眼图及系统仿真误码率。( Wavelet packet analysis to extract vibration signal characteristic frequency, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, The received signal is given eye and BER simulation systems.)

动态神经网络时间序列例程——用MATLAB实现的NARX(Dynamic Neural Network Time Series Routines- NARX Realized by matlab)

应用LMS算法，用Matlab编程实现线性预测.(Application of LMS algorithm, using Matlab Programming Linear Prediction.)

利用Truetime工具箱进行网络控制系统建模，对比了RM、EDF、MEF-TOD网络调度算法。(Use Truetime toolbox for network control system modeling, compared to the RM, EDF, MEF-TOD network scheduling algorithm.)

Software radio Digital Down Converter Aliasing Nyquist FR front end

工具箱主要功能: 1） 姿态向量、四元数、矩阵、滤波算法等各类子程序 2） 圆锥运动仿真 划船运动仿真 惯性器件随机误差仿真 3） Kalman滤波初始对准 基于惯性系初始对准 罗经法初始对准 大方位失准角EKF初始对准 大失准角UKF初始对准 速度+姿态传递对准 4） 纯惯性导航SINS仿真 航位推算、SINS/DR仿真 SINS/GPS组合仿真 GPS/BD/GLONASS单点伪距定位 SINS/GPS松/紧组合 POS正逆向数据处理与信息融合仿真 5）(Toolbox main functions: 1) attitude vector, quaternion, matrix, filtering algorithms and other subroutines 2) conical motion simulation rowing simulation inertial device random error simulation 3) Kalman filtering based on initial alignment of inertial gyrocompass initial alignment law initial alignment of large azimuth misalignment angle EKF initial Alignment of large misalignment UKF initial alignment speed+ attitude transfer Alignment 4) pure SINS simulation inertial navigation dead reckoning, SINS/DR simulation SINS/GPS Integrated simulation of GPS/BD/GLONASS pseudoranges single point positioning SINS/GPS loose/tight combination of forward and reverse POS data processing and information fusion simulation 5))