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基于matlab的ofdm仿真，效果很好(Based on the ofdm matlab simulation, good results)

其中包含了两个用matlab编写的Zernike程序。(Which contains two Zernike prepared using matlab program.)

c++ 调用matlab的程序 c 调用matlab的程序例子(c++ call matlab process procedures c call matlab example)

利用DFT分析离散信号频谱的实验。利用FFT分析信号 x[k]=cos(3pik/8 +pi/4 ) 的频谱；确定DFT计算的参数，绘出其频谱；并进行理论值与计算值比较。(DFT analysis of discrete signal spectrum utilization experiments. Analysis using FFT signal x [k] = cos (3pik/8+ pi/4) of the spectrum determine the parameters of DFT calculations, draw its spectrum and comparing the theoretical and calculated values.)

《精通matlab》电子书，中文版,pdf文档形式，学习matlab的经典教材。( Proficient matlab e-books, the Chinese version, pdf file format, learning matlab classic materials.)

基于粒子群算法的高速公路速度可变控制。可以用来仿真(Based on particle swarm optimization variable speed control of the highway. Simulation can be used to)

this book speak to matlab

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

a very good Multi dimensional scaling procedure using Sammon s mapping algorithm.

模拟实现非线性的时候 ，机器人定位与构图的情况。(SLAm the code)