OFDM_Noise

说明：  Matlab 编程设计，适合初学者的书籍(Matlab program)

sift 图像拼接，先找到两幅图像对应的特征点，然后算出变换矩阵，然后投影拼接图像(find the feature points of two images,using them to find the translate matrix,then complete the image mosaic)

MATLAB 数学手册复合版内容详尽 包括矩阵及其基本运算，特征值与二次型数值计算与数据分析 插值、拟合与查表 常微分方程数值解偏微分方程的数值解 符号运算积分变换Taylor级数 概率统计 随机数的产生 随机变量的概率密度计算 随机变量的累积概率值(分布函数值)正整数的频率表 4.6.2 经验累积分布函数图形 最小二乘拟合直线 绘制正态分布概率图形 绘制威布尔(Weibull)概率图形 样本数据的盒图 给当前图形加一条参考线 在当前图形中加入一条多项式曲线 样本的概率图 附加有正态密度曲线的直方图在指定的界线之间画正态密度曲 假设检验 方差分析 foptions函数 非线性规划问题 隶属函数 模糊推理结构FIS 绘图与图形处理 含有基本实例代码 (MATLAB math composite version of the manual includes a detailed matrix and the basic computing, quadratic eigenvalue with numerical analysis and data interpolation, fitting with the look-up table the numerical solution of ordinary differential equations numerical solution of partial differential equations symbols computing integral transforms Taylor class the number of probability and statistics of the generated random number of random variables the probability density of random variable cumulative probability values (distribution function value) positive integer frequency table 4.6.2 graphical experience distribution function least-squares fitting a straight line Normal probability graph drawing Drawing Weibull (Weibull) probability graph Sample data box diagram To add a reference to the current graphics line In the current graph by adding a polynomial curve Additional samples have the probability map is the histogram density of states curve at the specified)

Konvolusi Citra: Highpass,lowpass,gaussian,sobel,etc

this is a source code about Function for allignment

MATLAB_Demystified matlab揭秘(MATLAB_Demystified)

用matlab实现的动态矩阵仿真程序，学预测控制的朋友可以看看啊(Achieved with dynamic matrix matlab simulation program, predictive control school friends can take a look at ah)

运用Matlab实现最小二乘的曲线拟合，经调试，基本符合应用要求。(Using least squares curve fitting Matlab implementation, the debugging, in line with application requirements.)

批量处理NC文件的IDL pro 因为某些数据以月为单位存放，故利用这一程序可将对应的层次的时间序列进行整合，以便做进一步的气候统计分析(Batch NC file via IDL)

说明：  matlab环境下的模式识别分类例程。高维样本投影到低维空间进行分类识别。(matlab environment classification pattern recognition routines. High-dimensional samples are projected onto low-dimensional space for classification and identification.)