pso_2D1

matlab官方网站中的用于图像融合技术的contourlet变换源代码，基于contourlet变换的图像融合技术明显优于基于小波变换的图像融合技术(matlab official website for image fusion technology Contourlet transform the source code, based on the Contourlet transform image fusion technology was superior based on wavelet transform image fusion technology)

对MIMO中的瑞可接收机进行仿真，绝对可以运行的 (On the MIMO receiver in Sweden can be simulated)

说明：  该程序可以生成WVD分布，将其做成函数可以方便研究员做研究使用。(it can generate the WVD function.)

关于蝶形宽带微带天线的设计 索引：蝶形宽带微带天线. 设计方案 排列效率 摘要：现在提出一种基于绝缘体衬底的有限长度的宽带微带天线的设计方法。这种方法快速、对计算精度要求较低，是建立在一蝶形天线进行二等分而形成的两个梯形天线的 。首先设计出单边的梯形部分，然后制作出相同的另一部分并在其顶点处将其连接。与理论计算相比在X波段上实验测量表现得很好。其有效带宽达到10.6％ (One approach to an antenna book starts with a discussion of how antennas radiate. Beginning with Maxwell’s equations, we derive electromagnetic waves. After that lengthy discussion, which contains a lot of mathematics, we discuss how these waves excite currents on conductors. The second half of the story is that currents radiate and produce electromagnetic waves. You may already have studied that subject, or if you wish to further your background, consult books on electromagnetics.The study of electromagnetics gives insight into the mathematics describing antenna radiation and provides the rigor to prevent mistakes. We skip the discussion of those equations and move directly to practical aspects.)

本书详细介绍Mathematica的使用方法，本书使用最普遍的PDF阅读器阅读，共325页。应该说明Mathematica并非matlab。(The book details the use of Mathematica, the book most commonly used PDF reader to read a total of 325. It should be noted that Mathematica is not matlab.)

一种快速数字AGC结构的分析与设计，希望对大家有帮助(Structural analysis and design of a fast digital AGC)

matlab matrix processing functions

小波包分解重构程序，克服小波分解在高频段的频率分辨率较差(Wavelet packet decomposition and reconstruction program, overcome the wavelet decomposition in the poor frequency resolution in high frequency )

edge detection using fuzzy 1...............................................

说明：  基于遗传算法寻优参数的支持向量机算法，使得算法的参数达到全局最优，避免陷入具备最小(Support Vector Machine Algorithms Based on Genetic Algorithms for Optimizing Parameters)