matlab---to-work-harder

模式识别的大作业 改进的C均值法，对聚类效果比较显著(Great job to improve recognition of the C means method, a relatively significant effect on the clustering)

Digital signal processing

【债券回购量化投资模型】：本人在投资公司做量化投资的，分享一个简单的债券回购量化投资模型，在rar压缩文件附有数据，模型的原理与策略系历史最大开盘价合约进场，细节不多讲，做量化投资的朋友可以了解一下。([Bond repurchase quantitative investment model]: I do quantitative investment in investment companies, sharing a simple bond repurchase quantitative investment model, rar compressed files with data, principles and strategy of the largest in the history of opening contract model approach , not much talk about the details, do the quantitative investment friends can look at.)

Three phase high frequency isolated DC-DC converter (published in ELSEVIER)is simulated under symmetrical open loop control. It provides Low voltage conversion ratio, isolation, good regulation with fast dynamic response

利用digsilent里的matlab接口实现对电机的控制。(Digsilent inside matlab use interface for motor control.)

无线信道HmSItr模型MATLAB仿真程序，实现了tsgPSiZ技术下多参数的模拟，最接近物理信道，信道逼近参数接近最小二乘HmSItr算法。 (Radio channelHmSItr model MATLAB simulation program, to achieve a multi-parameter simulation tsgPSiZ technology, the closest physical channel, the channel parameters close to the least square approximation algorithm HmSItr )

说明：  自适应滤波器相关的matlab程序，包含LMS，RLS算法等的实现。由于太大了，所以该资源分为part1和part2两部分。此部分为part2！(matlab codes related to adaptive filters, including LMS and RLS algorithm, etc. the resource is divided to two parts (part1 + part2) cuz it is oversized.)

K-mean均值算法是给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类 之间的相似性最小。 Kmean处理图像的matlab文件 (K-mean algorithm is given class means the number of K, K to N objects assigned to a class, making class similarity between objects within the maximum, while the similarity between class minimum. Image processing matlab file Kmean)

一些关于谱分析的matlab程序，和朋友们一起分享，希望能共同交流！(Spectral analysis on the matlab program, and friends to share, hoping to share!)

化学热泵的matlab源程序，化工应用实例，供大家学习参考。(Chemical heat pump matlab source code, the chemical application examples, for all to learn.)