Effective-cooperative-wideband-sensing-using-ener

a program which implements a finite difference solution, explicit in time, of the time dependent 1D heat equation

基于压缩感知过程的语音增强,很好的文章。(Speech enhancement based on compressive sensing)

光谱提取,丰度调整 效果好，高光谱目标检测和端元提取(spectral abundance adjustment )

tsp蚁群算法，经过改良的........(tsp ant colony algorithm, improved ........)

for face detection using web cam

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

code about fdtd gooood4

介绍了控制系统性能评价的方法及步骤，其中包括单变量系统，多变量系统，串级控制系统等(Control system performance evaluation methods and procedures, including the single-variable systems, multivariable systems, cascade control system)

Conventional Optimal Power Flow Analysis Using the Matlab Optimization Toolbox

Opnet jacksons network with tutorial and model