meancov

说明：  遗传算法及其matlab实现：用两个实例说明遗传算法的matlab程序实现(Matlab genetic algorithm and its realization: two examples of using genetic algorithm matlab program)

说明：  实现了信号相位匹配原理奇异值分解的远场目标DOA估计，该算法指向性尖锐分辨率高(The arithmetic solved the estimate of far-filed signal s direction of arrival,based on the principle of signal macthed phase SVD.)

实现不敏卡尔曼滤波,可以用于雷达目标跟踪，多传感器数据融合等等！！！(this matlab program gieves the UKF)

详细介绍了遗传算法和群体智能算法程序设计及实例应用(Genetic algorithm and swarm intelligence algorithm was introduced in detail the program design and examples of application )

Deterministic Maximum likelihood algorithm

matlab实现极大似然估计法定位无线传感器网络节点。(matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.)

基于小波分析的信号奇异检测和去噪。。。。。。。。。。。。。。。(Based on wavelet analysis and signal singularity detection denoising. . . . . . . . . . . . . . .)

以比例导引律为基础，用伴随矩阵的构建解释了其闭环形式的解，其中包括初始航向角误差HED的图行，便于分析(The proportional guidance law as the foundation, with the adjoint matrix construction and explains its closed form solution, which includes the initial heading angle error of HED graphics, easy analysis)

matlab算法大全，包含多种算法以及模型，附程序源码，可供初学者良好的掌握matlab。数学建模必备。(Matlab algorithm Guinness, contains a variety of algorithms and models, attached to program source code, for beginners good grasp Matlab. Mathematical modeling is essential.)

M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)