basic_exemples

降维的mimo测向算法，基于music算法的mimo侧向算法 (reduced dimensional music algorithm)

MATLAB实现振动信号预处理：最小二乘法消除多项式趋势项和五点滑动平均法平滑处理(MATLAB realize vibration signal preprocessing: least squares polynomial trend items and eliminate a five-point moving average smoothing)

用免疫克隆遗传算法优化一元函数，包括主程序和子程序，直接运行出结果。(With immune clonal genetic algorithm to optimize a function, including the main program and subroutine, run directly from the results.)

基于yule_walker,burg,协方差，改进协方差，最大熵方法这五种算法的matlab程序，并且是一个周期正弦信号与高斯白噪声的模型(Yule_walker, burg, covariance, improved covariance method of maximum entropy algorithm matlab these five programs, and is a periodic sinusoidal signal with Gaussian white noise model)

formant feature voice its important for extraction 14 coofeecient from lp

enhanced mapping algorith for loclaization and mapping problem

是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )

matlab实现小波去噪的经典，可供初学小波人学习(matlab implementation of the classical wavelet denoising, wavelet for beginners to learn)

This book is for people who want to solve ordinary differential equations (ODEs), both initial value problems (IVPs) and boundary value problems (BVPs) as well as delay differential equations (DDEs). Solving ODEs withMATLAB is a text for a one-semester course for upper-level undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis. Implicit in these prerequisites is some programming experience, preferably in Matlab, and some elementary matrix theory. Solving ODEs withMATLAB is also a reference for professionals in engineering, science, and mathematics. With it they can quickly obtain an understanding of the issues and see example problems solved in detail. They can use the programs supplied with the book as templates.

说明：  验证中心极限定理，即将若干个不相关随机变量相加(Verify the central limit theorem, not related to the forthcoming number of the sum of random variables)