Feacheap_archive

一篇关于，多普勒雷达的文章，我仔细看过，还是可以，我也是做雷达方面的，希望大家又资源共享！！！！！！(It is about PD radar .I think it is very usefull.)

High Capacity Filter Based Steganography

Numerical analysis continues this long tradition of practical mathematical calculations. Much like the Babylonian approximation of sqrt{2}, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors.

计算二维光子晶体的带隙和能带面，适合comsol3.5版本(Calculation of band gap and band surface of photonic crystal)

基于FFT的超分辨率算法,该算法使用原始数据的梯度信息,不用加入先验的约束(Super-resolution based on FFT)

video transmission throgh MIMO testbed

将idNO类中序列相差2以内的子序列进行连接，用于交流留的数据处理(Conecting the subsequences which are next to others (less than 2). This is used for data processing of transpotation flow)

提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局 部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算， 表明该算法是求解大规模复杂多目标优化问题的一种有效手段。(A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed algorithms employs three techniques: adaptive grid algorithms, which can obtain the valid density value of particles in Archive set Pareto optimal solution searching algorithm, which can equalize the ability of global and local searching Archive pruning techniques, which can remove inferior particles in Archive set to fix the size of Archive set. The algorithm is applied to solve multi-objective optimal regulation of Three Gorges. The simulation performance indicates the effectiveness of the presented algorithm with regard to solving the large scale complex multi-objective optimization problem.)

结合HCM和FCM优点的一种新的高效算法。(HCM and FCM combines the advantages of a new efficient algorithm.)

利用关联规则发对市场篮子的数据进行挖掘，对同一交易购买的物品的可能性进行了分析。(Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed to analyse market-basket data, in which the likelihood of items being purchased together within the same transaction were analysed.)