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SFM信号分析的总程序,包括产生信号,信号时域分析等(SFM signal analysis of the total procedures, including signal, the signal time-domain analysis)

天线结构的生成，散射算法的源程序，表面电流分布的三维图(Antenna structure generation, three-color algorithm, the surface current distribution)

This program describes the use of Inverse Synthetic Aperture Radar (ISAR) with stepped-frequency waveform (SFWF) to produce a high-resolution, 2D image of a target.

EMD处理及处理结果的显示 完整 直接处理即可(EMD treatment and treatment results display can be integrated directly with)

PSCAD学习资料，适合初学者学习应用，希望对大家有所帮住(PSCAD learning materials, suitable for beginners learning applications, we hope to help to live)

书本上的几个例子，很好用，可以直接运行。对于初学者比较有用！(Book a few examples of good use, can be directly run. More useful for beginners!)

This is traning by ica.

各种各样的不同代码源打包，都是经过运行的，绝对可以使用。(A variety of different source code packages are run through, and absolutely can be used.)

重型汽车车内声压级预测与主要噪声源分析 中国重型汽车正成为中国汽车产业在国际市场上最具竞争力的强势产业，但 目前国产重型汽车的 NVH（Noise,Vibration and Harshness）性能和国际先进水平 之间仍存在一定的差距。 (Heavy automotive interior SPL prediction and analysis of the major sources of noise China National Heavy Duty Truck is becoming China s auto industry the most competitive in the international market a strong industry, but At present, the domestic heavy-duty vehicles of NVH (Noise, Vibration and Harshness) performance and the international advanced level There is still a gap between.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)