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说明：  实现可见光通信的仿真，用OFDM的调制方式(VLC communication OFDM)

说明：  matlab中应用BP神经网络对模式识别的源码(matlab application of BP neural network for pattern recognition of the source)

image classification using SVM

自己写的SAR相干斑去噪matlab代码 包括：小波去噪，contourlet变换去噪，小波-contourlet去噪，基于PCA的小波-contourlet去噪(Write your own SAR Speckle Denoising matlab code comprising: wavelet de-noising, contourlet denoising, wavelet-contourlet de-noising, wavelet-based PCA denoising-contourlet)

matlabr2008a的下载和安装详细过程，非常好用，比一般网上找的下载安装要好的多了(matlabr2008a the download and installation process in detail, very easy to use, than the general Internet is far better to download and install more)

ACA_TSP是用蚁群算法（ant colony algorithm）解决旅行商问题（travelling salesman problem）。文件打开后运行ACA_TSP.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(ACA_TSP is to solve the traveling salesman problem (travelling salesman problem) ACO (ant colony algorithm). Run ACA_TSP.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论(Draw the theoretical curve between input SNR and detection probability)

Space–time block coding is a technique used in wireless communications to transmit multiple copies of a data stream across a number of antennas and to exploit the various received versions of the data to improve the reliability of data-transfer. The fact that the transmitted signal must traverse a potentially difficult environment with scattering, reflection, refraction and so on and may then be further corrupted by thermal noise in the receiver means that some of the received copies of the data will be better than others. This redundancy results in a higher chance of being able to use one or more of the received copies to correctly decode the received signal. In fact, space–time coding combines all the copies of the received signal in an optimal way to extract as much information from each of them as possible.

说明：  独立分量分析代码（matlab编写）有很强的试用价值(Independent Component Analysis code (matlab preparation) has a very strong trial value)

自编的神经网络的matlab程序，可以运行哦。(Self matlab neural network program, you can run, oh.)