MATLAB7.0-course-book

说明：  局部均值分解，相比于emd好一点，自适应将信号分解几个物理量(Local mean decomposition, a little better than emd, adaptively decomposes the signal into several physical quantities)

讲述了基于空域和频域的迭代盲复原算法，是图像盲复原的一个研究热点，效果很好。(About the spatial and frequency domain based on the iterative blind restoration algorithm, image restoration is a hotspot, the effect is very good.)

规则网络模型囚徒困境的模拟 可以作为对演化博弈感兴趣的一个例子学习(Simulated network model rules Prisoner s Dilemma)

uwb 2-and derivative pulse gaussian simulation

高等电磁理论微带结构习题，电力线，等势线图等( higher electromagnetic theory exercises)

EMD经验模态分解,用于信号处理，常和hilbert-huang变换一起用于信号特征提取、信号消噪等领域。(EMD EMD for signal processing, often with hilbert-huang transform for signal feature extraction, signal de-noising and other fields.)

关于样条插值均匀与非均匀的示例，帮助挺大(Spline interpolation on uniform and non-uniformity of the sample to help big)

一个研究声多普勒计程仪很好的工具箱，不过我没有用过。(a study Acoustic Doppler- NG good toolbox, but I never used.)

这是一个数据归一化处理的程序，对于数据想要归一化处理，这是一个不错的参考。(This is a process of data normalization procedures for the data you want to normalize, which is a good reference.)

该函数将按照输入的优选对，输出相应的m序列和gold序列(The function will be preferred in accordance with the input that the output of the corresponding sequence of m sequences and gold)