ICAlab 盲源信号分离

用matlab编写，实现对一幅图像进行线性灰度变换。(Prepared using matlab, achieve a linear gray transform the image.)

该源码用三种方法实现图像去噪，简单易懂实用(The source with the three methods of image denoising, easy to understand practical)

heat3 implecit heat3 implecit

高斯天线生成，利用高斯函数模拟实际的天线，(Gaussian antenna generated using Gaussian function simulates the actual antenna,)

可以实现4个艾里光束的合成,并且通过调制T的大小可以实现聚焦的各种情况(It can achive the combintion of 4 airy)

FMCW调频连续波雷达的测距测角，包括回归分析和概率统计，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，一种噪声辅助数据分析方法,用于特征降维，特征融合，相关分析等,线性调频脉冲压缩的Matlab程序。

系统辨识及其matlab仿真 《系统辨识及其MATLAB仿真》附带的光盘注释: 打开系统辨识及其MATLAB仿真程序与剖析夹 ： 1）“ch2,ch5,ch7辨识程序夹”文件夹为第2章、第5章、第7章的7个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；对应“*.doc文件”是ch2,ch5,ch7的各程序的注释与剖析。 2）“ch3,ch4,ch6辨识程序”文件夹为第3章、第4章、第6章的6个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；另一部分“*.doc文件”是ch3,ch4,ch6的各程序的注释与剖析。 3) 两个rar压缩文件解压时密码在本书的前言部分。(System identification and matlab simulation system identification MATLAB simulation that came with CD-ROM Note: open system identification MATLAB simulation program and analysis of the folder: 1) " ch2, ch5, ch7 recognition program folder" folder for Chapter 2 Chapter 5, Chapter 7 of 7 MATLAB simulation identification source, can be directly run MATLAB6.I environment corresponds to the " *. doc files ch2,, ch5, ch7 the program annotation and analysis of 2) " ch3, ch4, ch6 identification procedures" file folder for Chapter 3, Chapter 4, Chapter 6 of 6 MATLAB simulation identification source, can be run directly in MATLAB6.I environment another part of the " *. Doc Document ch3, ch4, the ch6' s program annotation and analysis of 3) extract the compressed files in two rar password in the foreword to the book section.)

芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。(Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performance function, you can view the simulation results.)

该matlab代码主要用于计算图像的边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。( calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation.)

A MATLAB code which solves navier-stokes in Cartesian coordinates with worticity and stream function aproach