ROC

基于信息熵的图像分割方法研究及其在DSP中的快速实现(Entropy-based image segmentation method and its fast implementation in the DSP in)

双基地MIMO雷达利用ESPRIT算法实现目标二维方位角联合估计 (The ESPRIT algorithm bistatic MIMO radar goals 2D azimuth joint estimation)

Cooperative Communications for Cognitive Radio Networks — From Theory to Applications

一个简单的四则运算计算器，它能实现两个数据的加减乘除运算，数据需手动输入。因为界面相对简单，方便初学者使用学习(A simple four-function calculator, it can achieve two data arithmetic operations, data to be entered manually. Because the interface is relatively simple and easy to learn for beginners)

过程工业中带有粘滞的阀门数据驱动模型，模型采用SCI论文《Two-layer banary tree data-driven model for valve stiction》中提出的算法，本人自己独立编制转化，成功运行，性能良好。模型由Matlab文件和Simulink模型两部分完成，且内设注释，可直接运行。(A data-driven model of valve stiction. The algorithm is from the paper"Two-layer banary tree data-driven model for valve stiction," and the model runs successfully in MATLAB/SIMULINK.)

用于提取小波特征的机械振动信号，很好地结合了特征提取和随机信号处理方法，附带数据，实测可用。(For extracting wavelet feature mechanical vibration signal, a good combination of feature extraction and stochastic signal processing method accompanying data, we found available.)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

基于稀疏贝叶斯学习的稀疏向量恢复算法，里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)

Simple threshold segmentation of medical CT data in DICOM data representation.

Aproximacion a una funcion usando una red perceptron