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蚁群算法实现tsp问题的解，适合初学者使用(Ant colony optimization tsp solution of the problem, for beginners)

matlab软件编程数字信号处理中，dft，dfs的计算函数，以后使用直接调用就可以了(matlab software programming digital signal processing, dft, dfs calculation function, for future use can be a direct call)

補洞程式 新增加速功能 可實現一班基本補洞(Fill the hole add a program to accelerate features a group of basic fill holes)

采用music算法来用于进行DOA估计，可以达到很高的识别精度(MUSIC algorithm is used for DOA estimation, which can achieve very high recognition accuracy)

说明：  SVPWM仿真，在matlab里面画的仿真图，可以参考参考，学习学习。(SVPWM simulation, the simulation in matlab figure inside the painting, see reference, learning to learn.)

这是一个用simulink搭建的经典的跳频模型，对了解跳频有一定的帮助，模型，调试过了，没有问题。(This is a FH model in simulink.)

使用最小二乘法平差，进行圆柱拟合，两次平差可以控制初始值尽量使结果收敛(application of TSL to fit for cylinder, control of start data to get a good result)

说明：  OFDM系统发送和接收的MATLAB程序,其中包括传输信道模型(OFDM systems to send and receive the MATLAB program, including the transmission channel model)

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)

Demons算法是一种基于灰度信息的全自动非刚性配准方法,其配准结果容易受图像之间灰度不一致的影响(Demons algorithm is a kind of automatic non rigid registration method based on gray level information, and the result of registration is easy to be affected by the gray level between images. )