xcg

在MATLAB中实现动画效果 摘要: MATLAB是 MathWorks公司开发的新一代的科学与工程计算软件, 已经成为全球应用最广泛最流行的软件之一。随着该软 件应用的不断普及, 用户对其动画功能的需求也在不断增加。该文主要介绍了在 MATLAB 中实现程序动画、 Flash 动画和影片动画等效 果的方法。具有较强的针对性、 代表性和实用性。(To achieve animation effects in the summary of MATLAB: MATLAB is a MathWorks has developed a new generation of scientific and engineering computing software, has become the world' s most widely used one of the most popular software. With the growing popularity of the software applications, user demand for its animation capabilities are constantly increasing. This paper introduces the program is implemented in MATLAB animation, Flash animation and video animation and other effects of the method. Highly targeted, representative and practical.)

说明：  改程序实现了模糊控制与模糊神经网络的等价转换！欢迎下载！(Reform program to achieve a fuzzy control and fuzzy neural network is equivalent to conversion! Welcome to download!)

说明：  此程序是基于广义最小二乘法，运用递推算法。(This procedure is based on generalized least square method, the use of recursive algorithms.)

The program computes and plots the equation of time, the declination, and an analemma curve for various orbital parameters. The analemma is the curve traced by the position of the sun, measured at clock noon, over a year.

three phase inverter

Simple matlab code for erosion and dilation of an image for contrast enhancement....

说明：  绝对原创的matlab 量子免疫遗传算法。改程序功能是实现求一个函数的最小值。可运行 (又发一遍，说我格式不对，不知有没有成功)(matalab QGA.)

关于稀疏最小二乘算法的matlab程序，适于学习和运用！-(About sparse least squares algorithm matlab program, suitable for learning and use!-)

this program is a sample program for connecting MATLAB with Xplane9 using UDP comunication.

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)