matlab

MATLAB基础编程 学习MATLAB很好的一本基础教程 MATLAB中文论坛首发(MATLAB program based on a good one to learn MATLAB Tutorial MATLAB based forum for starting Chinese)

learning matlab software for simulation

说明：  杂波的一个MATLAB仿真，杂波的产生：先生成一个（0，1）分布的随机数r，让后根据poission分布产生杂波的个数n，这n个杂波是服从均匀分布(Clutter a MATLAB simulation, the resulting clutter: a President (0,1) distribution of the random number r, let poission distributed according to the number of clutter have n, that n is subject to a uniformly distributed clutter)

Matlab+常用图像函数,包括图像的读写,显示,模拟噪声生成函数等(Matlab+ common image functions, including reading and writing images, display, analog functions, such as noise generated)

利用matlab计算copula函数的代码及程序，希望可以给大家带来帮助(Copula function calculated using matlab code and procedure, hoping to give us help)

using L in profile storage. We may solve Ly  b accessing L by row and either LTx  y accesing LT by column or equivalently xTL  yT accessing L by row

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

通过读取GPS RINEX格式观测和星历文件，实现了GPS伪距单点定位，经过数据验证，该算法定位结果有效。(By reading the GPS RINEX format observation and ephemeris file, the GPS pseudorange single point positioning is realized, and the positioning result is valid through data verification.)

Matlab_presentation for new stars

Matlab Coce for PCA 4