MARKOV

单信源情况下线阵的波束形成基本简单源程序，初学者参考(Single-source situation downline array beamforming basic simple source, beginners reference)

平滑矩阵的music算法，是阵列信号处理的一种算法.....(Music smoothing matrix algorithm is an algorithm array signal processing .....)

解决L1范数问题，以及类似的一些问题，常用语机器学习等领域(Solve L1 norm problems, and similar problems, commonly used language machine learning and other fields.)

It introduces how to work with MATLAB

matlab with images, logging message

ZVS的开环和闭环的matlab仿真，很准确的(simulink of ZVS open and close loop)

聚类算法中的启发式算法中的FEC算法，可以处理复杂网络的问题。(Clustering algorithm heuristics in the FEC algorithm can handle complex network problems.)

可以实现Dual-Mode MCMA+DD-LMS的盲均衡算法，效果比MCMA及DD-LMS好，同时解决了相位旋转(It can implement Dual-Mode MCMA+DD-LMS blind equalization algorithm, better than good MCMA and DD-LMS, while addressing the phase rotation)

说明：  对单载频高斯脉冲的发生和其频移的研究，能够正常运行，很好的学习的例子。(The single transmits the happening of the gaussian pulse and its frequency shift research, can run normally, very good example. )

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.