pid-(2)

一种对连续野值不敏感的鲁棒卡尔曼滤波器， 对清华学报上的一篇文章的仿真，能有效剔除连续型野值 (A field value is not sensitive to the continuous robust Kalman filter, for an article on the Tsinghua University policy, can effectively eliminate the value of continuous field)

matlab-gauss,实现matlab上的gauss迭代法(Matlab- gauss, the realization of Matlab gauss iterative method)

这是matlab的遗传算法工具箱，在matlab的环境下使用，用于求解多目标优化问题(This is a matlab genetic algorithm toolbox in matlab environment used for solving multi-objective optimization problem)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

this is simple recursion code for beginners...

基于SVPWM的电流型PWM整流器设计及其仿真，实现结果，波形正确(Based on SVPWM Current PWM Rectifier design and simulation to achieve a result, the waveform correctly)

说明：  经典MUSIC算法 进行DOA估计 出图效果良好(DOA classic MUSIC algorithm to estimate the effect of a good map)

parsing header values into elements.

RADAR信号生成，有很多子程序，均可以运行(RADAR signal generation, many subroutines, can run)

基于LMS自适应时延估计算法，可以进行时间延迟估计。 (Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay estimation, based on the fractional lower order covariance delay estimation method, as well as the minimum norm when the average P delay estimation method.)