NLS

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

A book that is about MIMO communication.

solar simulation program

批量读取nc数据，求nc数据月平均，IDW插值，点数据转shapefile(Read the nc data in batches.)

Digital Signal Processing Using Matlab V4 - Ingle & Proakis 1997

基于稀疏表示的图像模糊复原算法，利用Alternating Method以及FFT变换分别进行稀疏编码和模糊复原，复原图像的效果很好。(An algorithm for image debluring based on sparse represetation. It takes the AM and FFT for sparse coding and debluring respectively. The result get good visualization.)

4D可视化程序，非常适合初级学者。很好的参考资料，期待共同进步(4D visualization program, is ideal for junior scholars. A good reference, look forward to progress together)

可调增益基于Lyapunov定理的模型参考自适应算法(Adjustable gain model reference adaptive algorithm based on Lyapunov Theorem)

这个一个MATLAB的小程序，PUMA560的一个控制仿真界面(This a little MATLAB program, PUMA560 a control simulation interface)

matlab 指纹源代码实现fingerprint matlab source code to achieve(fingerprint matlab source code to achieve fingerprint matlab source code to achieve)