ap_semisupervised

matlab与c#结合开发图形界面,在c#的picturebox中调用matlab的figure图像界面(matlab develop program)

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.)

pscad环境下搭建的一个IEEE34节点的，测试模型，可以用于电力系统潮流计算、状态估计等(pscad environment to build a IEEE34 node under test model can be used to power flow calculation, state estimation, etc.)

刘金坤教授《先进PID控制MATLAB仿真》中，灰色PID控制部分MATLAB源程序(Professor Liu Jinkun "Advanced PID Controls the MATLAB Simulation", gray PID control section MATLAB source program)

指北方位捷联惯导解算。。。尽管下吧，写作业的时候会用到(SINS navigation code)

一种多目标差分演化算法的例程，可以自己添加目标函数(A multi-objective differential evolution algorithm routines, you can add your own objective function)

二进制相移键控(键控调制方法)，樊昌信《通信原理》内容(Binary phase shift keying (keying modulation method), Fan Changxin " Communication Theory" content)

Here s a sample kernel module showing the use of return probes to report the return value and total time taken for probed function to run.

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.

关于无线网络的matlab仿真的经典教材第七章， 适合有一定基础的同志们学习(Matlab simulation of wireless networks under Chapter VII of the classic textbook for a certain comrades based learning)