randraw

matlab遗传算法，在数学中国中下载得(matlab genetic algorithm, in mathematics may be downloaded China)

TDMS的文件读取到Matlab。 优点： -支持读取v2的文件 -不需要使用NI的DLL，因此它不需要32位窗口 - 支持隔行扫描数据 -只允许读的名称及属性，以得到一个文件是什么感觉快 - 允许读数据的特定子集 (Reads TDMS files into Matlab. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - allows reading specific subsets of the data)

Otsu-最大类间方差Matlab代码 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2 部分。背景和目标之间的类间方差 ％ 大,说明构成图像的2 部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2 部 ％ 分差别变小。(Otsu- Otsu Matlab code Otsu Principle : Otsu law by Japanese scholars in the large-1979's, is an adaptive threshold established methodology, also known as big-law, referred to Otsu. It is based on image characteristics of the gray image can be divided into the background and objectives of Part 2. Background and objectives between the between-class variance%, which meant that the two images form part of the greater difference, When some background into the wrong target or part of the background into the wrong target will lead to sub-2% difference becomes smaller.)

快速对偶增广拉格朗日算法，目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。(Quick optimization for dual augmented Lagrangian algorithm for solving the objective function, commonly used in inverse problem solving, is typical of L1 norm algorithm.)

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)

基于粗细定位相结合的车牌识别方法，有别于一般的车牌识别算法，有兴趣的可以研究一下哈～(Based on the combination of coarse and fine positioning plate recognition, license plate recognition algorithm is different from the general, interested can look at Ha ~)

may be helpful to fresh man

网上流传的LLE原始代码无法运行的同学请看这里，这是我最新修改的代码，保证能在MATLAB2012上运行(Students circulated on the Internet can not run the original code LLE Look here, this is my latest revised code, guaranteed to run on MATLAB2012)

Spectral analysis of discrete deterministic signals

Commande Matlab de la MAS