Algo

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

matlab 数值积分工具包(Matlab numerical integration tool kit)

说明：  psk调制源程序，我自己调试过，在matlab上能够仿真(psk modulation source, my own debugging, and simulation in matlab can)

利用形态开—闭组合去除信号噪声，效果不错。可以参考。(Use form-closed combination remove a signal noise, the effect is good. Can reference.)

通讯类matlab文件，包括简单的QAM调制，星座图的产生等的一些基本程序(Communications matlab files, including simple QAM modulation, such as the generation of FIG want some basic procedures)

基于直流潮流法的IEEE-30节点潮流计算(Power Flow Calculation of IEEE-30 Nodes Based on DC Power Flow Method)

间接法双谱估计的matlab源程序，以及双谱切片包络参数提取(bispectrum estimation using indirect method)

《数值分析》第三版英文影印版，书中几乎全部的算法的matlab代码("Numerical Analysis," the third edition of the English version of photocopying book almost all the Matlab code algorithm)

This work is done by someone else. I m only uploading it to share with you.

对语音进行的时频分析,语音识别技术作为信息社会朝着智能化和自动化方向发展的关键技术之一，具有重要的研究意义和实用价值。经过近五十年的艰苦探索和研究，语音识别技术研究获得了极大的发展，其中有些比较成熟的技术已经逐步应用于日常生活中。但总体来说，语音识别在研究和实用化方面的难度还比较大。本文概括介绍了语音识别技术的全貌，所采用的关键技术、具体应用以及当前所面临的困难,并对单个语音样本在MATLAB上进行了仿真分析。(right voice for the time-frequency analysis Speech recognition technology as the information society towards automation and intelligent direction of one of the key technologies. The study has important significance and practical value. After nearly 50 years of painstaking study and research, speech recognition technology is a great development, Some of the more mature technologies have gradually applied to daily life. But on the whole, the speech recognition research and the practical difficulty is relatively large. This paper introduces voice recognition technology landscape and the use of key technologies, specific application and the current difficulties faced by, as well as samples in a single voice on the MATLAB simulation analysis.)