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我这是论文中用到人工鱼群算法，为matlab代码。希望对对大家有用。(This artificial fish-swarm algorithm code in matlab was used in my paper,I hope it is usefull for you.)

一个好用的地震数据处理软件 可以对SGY数据进行读取回写等(An easy to use seismic data processing software can the SGY data read and write-back, etc.)

emguC#编程实例，实现简单的透视形变(develop with emgu and C#)

首先提出了基于微分几何控制理论的双馈发电机非线性多输入多输 状态反馈解藕控制方案，通过非线性坐标变换和非线性状态反馈，使双 发电机的磁链和转速两个子系统实现了动态完全解藕。其次采用基于定 磁场定向的双馈发电机矢量控制，实现定子侧有功功率和无功功率的解藕 为了消除交叉藕合电动势对发电机参数的影响，采用内模控制解藕控制 案，使系统具有良好的输出动态性能。最后在分析双馈发电机的数学模 和矢量控制的基础上，提出了一种基于模型参考自适应方法的定子、转 磁链观测、发电机转速估计和转子电阻辨识算法，应用Lyapunov原理证 了估计的收敛性，并应用于上述解藕控制方案中。在对算法进行理论推 的基础上，应用Matlab/simulink，对各个算法和系统进行了仿真，检验了 算法和控制方案的可行性。 (First proposed nonlinear multi-input multi-input state feedback the decoupled control programs through nonlinear coordinate transformation and nonlinear state feedback control theory based on differential geometry doubly-fed generator, dual generator flux and speed sub-systems to achieve the dynamic completely decoupled. Secondly, based on the fixed magnetic field oriented vector control of doubly-fed generator stator side active power and reactive power decoupling in order to eliminate the cross-coupling of the electromotive force of the generator parameters using the internal model control decoupling control case, so that the system which has good dynamic performance. Finally, in the analysis of the doubly-fed generator based on the mathematical model, and vector control, a method based on the model reference adaptive stator, turn flux observer, generator speed estimation and rotor resistance identification algorithm using the Lyapunov principle permit estimated convergence, and appl)

基于能量检测的认知无线电感知频谱分析最优化设计(Based on energy detection sensing cognitive radio spectrum analysis to optimize the design)

在无线通信中，MIMO-OFDM不同信道估计的对比，经过编译已成功。(In wireless communications, the comparison of MIMO-OFDM channel estimation, has been successfully compiled.)

新型低密度纠错检错码，适用于通信及数据存储领御(Error correction code applies to communications and data storage leadership Royal)

在MATLAB环境下进行对MPEG视频中图像的提取，对于视频技术爱好者有一定的参考价值(In the MATLAB environment with MPEG video on the extraction of image for video enthusiasts with some reference value)

使用马尔科夫链蒙特卡洛法的一个莫诺模型例子(A Monod model example of the use of Markov chain Monte Carlo method)

时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)