KLM

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

基于matlab的数字图像的二维傅立叶变换(FFT)以及二维离散余弦DCT变换，提供里详细代码，.m文件(Matlab-based digital image two-dimensional Fourier transform (FFT) and two-dimensional discrete cosine transform DCT offers in detailed code,. M file)

已知信源X的概率空间为 信道的传递概率矩阵P(Y|X)为 试用Matlab编写函数，求出信源X与信宿Y的平均互信息I(X Y)。 (IT ISeasy)

介绍一种有关卫星通信信号的快速盲检测方法(satellite communication signals quick blind detection)

自己年编写的matlab中bch码的仿真程序。有编码和译码2个主程序，附有运行结果。(Their own, prepared in BCH code in matlab simulation program. Coding and decoding has two main program, with the results.)

matlab编程实例,主要设计事项,请大家咄咄指教,希望大家多交流,(Matlab programming examples, the major design issues, please enlighten aggressiveness, we hope that more exchanges,)

很全面的matlab优化算法的代码集合，包括蚁群免疫等算法都在，很细致。(Very comprehensive collection of matlab code optimization algorithm, including the immune ant colony algorithms such are very detailed.)

ldpc编译码包括生成矩阵算法，稀疏矩阵编码，概率译码等等(ldpc encode and encode)

链路预测的matlab实验源代码，通过这些源代码可以得出链路预测的基本实验效果(Link prediction matlab experiment source code, the source code can be obtained through these basic experimental results link prediction)

说明：  稳健稀疏PCA算法，能够对噪音与异常点数据表现稳健(Robust Sparse PCA)