current-regulation-in-three-phases-thyristor-conv

无刷直流控制系统的simulimk仿真模型(Brushless DC control system simulation model simulimk)

matlab处理指纹图像，由于指纹的唯一性、可靠性和稳定性，指纹已成为身份识别和鉴定的一个重 要标志，并被公认为“物证之首”。指纹识别作为一种生物识别技术，历来受到人们的广泛关注和重视，是未来个人身份认证的重要组成部分。(Fingerprint image processing matlab，Because the uniqueness of fingerprints, reliability and stability,fingerprint identification has become an important symbol of appraisal,and is recognized as the "first" material.The fingerprint identified as a kind of biometrics,has received extensive attention of,the individual identity authentication is the important component.Based on the MATLAB software applications for tools,for fingerprint image preprocessing and feature extraction technology research.Including pretreatment part involves by different methods of fingerprint image segmentation to extract valid area,with the improvement of OPTA thinning algorithm for thinning, )

对候选人得票进行统计，设有3个候选人，最终只能有1人当选为领导。(Statistics on the number of votes a candidate with three candidates, we can only have one person elected as leader.)

matlab实现rnn神经网络，对于使用的现场臭氧发生器数据，进行数据建模仿真，用现场数据对神经网络进行训练并得到参数(use matlab finish rnn)

matlab的函数名大全，方便查找，适合学习，收集了很久才收集全(Fingers matlab function to facilitate the search for learning, gathering for a long time to collect all)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

matlab对图像进行运动模糊 以及用维纳滤波 逆滤波还原(matlab and the image motion blur reduction using Wiener filtering inverse filtering)

Intro to Matlab Statistics functions and applications

《精通Matlab6.5版》张志勇等编著，书本相关的PPT文件("proficient Matalab 6.5 version of the" Written by Zhang Zhiyong, books related to the PPT document)

精通MATLAB教程，综合辅导与指南的基础使用方法和使用说明(MATLAB Quick Start)