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遗传算法工具包，matlab 7.0包含了这个工具箱，matlab7.0以前的版本没有这个工具箱，雷英杰编著《Matlab遗传算法工具箱及应用》对这个工具箱的使用进行了介绍(Genetic Algorithm Toolkit, matlab 7.0 contains the toolbox, matlab7.0 previous versions do not have this toolbox, LEI Ying-jie edited )

说明：  支持向量机入门，适合初学者，写的很好，通俗有趣(Support vector machine entry, suitable for beginners, well written, popular, interesting)

here is a program draw tiế p tuyế n above MATLAB

对瑞利信道进行仿真，得到清晰的瑞利分布。(For Rayleigh channel simulation, get a clear Rayleigh distribution.)

分别列出BP网络与som网络的代码，通过运行后可以看出同一种问题在不同网络下的处理差别。(A breakdown of BP network and som network code, by running after the same kind of problem can be seen in the different networks of processing differences.)

运用MATLAB实现大型复杂平面有限元问题的位移、应力、应变等功能的实现 (These codes are intent to be used for calculating the displacement, stress, strain in complex, large plane problems in Matlab rather than in FEM softwares.)

用于同时观察信号在时域和频域中的变化以及信号中的不同频率成分随时间的变化(For the simultaneous observation of different frequency components in the time domain and the signal spectrum of the signal changes over time)

该源代码为迭代控制源代码，自己辛苦编的，拿来分享(The source code to the the iterative control source code, their hard work, and for them and share)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

高分辨率雷达信号处理，PDF文档，送给感兴趣的朋友。(high-resolution radar signal processing, PDF files, as well as to interested friends.)