sf_electrohydraulic

该代码为盲源分离中的相对牛顿法，收敛性能稳定，分离效果优越，值得借鉴。(The code for the blind source separation of the relative Newton method, convergence properties of stability and separation efficiency is superior, is worth learning from.)

matlab的诸事方法………………属实注释方法(matlab sorts of methods ... ... ... ... ... ... true methods Notes)

Matlab Biased toolbox

PSCAD风电场建模（PMSG永磁同步发电机） 及发电机的矢量控制(Vector Control PSCAD wind farm modeling (PMSG permanent magnet synchronous generator) and generators)

ROBUST BLIND SEPARATION OF STATISTICALLY DEPENDENT SOURCES USING DUAL TREE WAVELETS

code for contrast stretching in matlab

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.)

Neural fuzzy approximator construction basics

布拉格光纤光栅受轴向应力对反射谱的影响仿真研究(Fiber Bragg grating subjected to axial stress on the reflection spectrum of simulation )

Schrodinger and Poisson solver