biyesheji-

说明：  利用模糊聚类原理，Matlab工具完成对象识别，仿真成功(Using the fuzzy theory, Matlab tools to complete object recognition, simulation success)

一些我在写毕业论文中用到的关于混沌的相关论文，都是一些有档次的，对我的论文很有帮助(Something I used in writing the thesis on the chaos of the relevant papers, are some upscale, very helpful for my thesis)

AM-FM decomposition model based on the frequency domain sub-band voice

matlab pid controller example

DGGBETA针对广义高斯，GGDEMO，，GGD中BETA估计，广义高斯参数估计，概率密度，(DGGBETA for Generalized Gaussian, GGDEMO,, GGD in BETA estimated generalized Gaussian parameter estimation, probability density,)

雷达系统仿真Matlab源码，全部通过测试，对雷达的各个模块有仿真，适合科研和专业人士学习和研究。(Radar system simulation Matlab source, all passed the tests, each module of the radar simulation for research and professional learning and research.)

power electronic matlab about machine and power system

介绍了采用电化学阻抗谱来进行锂电池的模型参数分析(lithium battery parameter estimation)

这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法matlab实现源代码。(试试带有自动翻译功能的新型浏览器。下载 Google Chrome 浏览器关闭翻译中文英语德语检测语言 英语中文(简体)日语 翻译文字或网页 这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法matlab实现源代码。 请键入文字或网站地址，或者上传文档。 取消 Zhè shì liǎng gè shǐyòng matlab shíxiàn de AP(affinity propagation) suànfǎ, yīgè shì pǔtōng de AP suànfǎ matlab yuán dàimǎ, yīgè shì yòng yú xīshū shùjù chǔlǐ de AP suànfǎ matlab shíxiàn yuán dàimǎ.This is both the use of matlab AP (affinity propagation) algorithm, an ordinary AP algorithm matlab source code, one for AP sparse data processing algorithm matlab source code.)

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below(New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas- a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below)