matlab实现智能预测控制算法

文章讲述了现在韩国的频谱政策和动态频谱接入技术。过去韩国的频谱管理政策需要特权，并且只有一小部分频谱可以公用。随着无线技术的发展，现在，韩国政府，使用了机遇动态频谱接入的新型频谱策略，例如LBT技术用于REID，UWB和FACS等。MIC还考虑如何在DTV过渡完成后，重新分配频谱。新型的无线电技术如认知无线电和SDR将在UHF边带中应用新的服务。MIC试图用一用有效地方式开放频谱并接受新技术用于频谱策略中。(In this paper, we introduce spectrum policies and dynamic spectrum access technologies in Korea. In the past, Korea spectrum management was the command and control with exclusive usage rights and small portions of spectrum commons bands. With the development of the radio technologies, Recently, Korea government, MIC(ministry of information and com- munication), has been adopting new spectrum policies based on dynamic spectrum access technology such as LBT(Listen Before Talk) for RFID, UWB, and FACS(Flexible Access Common Spectrum) etc. MIC is also considering spectrum reallocation of digital dividend bands after DTV transition. New radio techniques such as cognitive radio and SDR will be applied to new services in this UHF band. MIC is trying to open the radio spectrum in an efficient way and adopt new technology into spectrum policy. Thus MIC is extending the open spectrum such as spectrum commons and spectrum liberalization bands. )

codigo para el reconocimiento de voz

含均匀和非均匀传输线计算，滤波，判断奇异点-with uniform and non-uniform transmission line, filtering, judgment singular point

2003年Park关于超分辨图像重建的综述性文献，文中回顾了时域与频域的各种重建方法，并进行了比较。比较全面(2003 Park on the super-resolution image reconstruction is summarized in literature, the paper recalled the time domain and frequency domain of various reconstruction methods and compared. More comprehensive)

现代通信系统书第四章程序（电子工业出版社）(Modern communications systems book chapter IV procedures (Electronics Industry Press))

　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate. )

Telnet Connect Server Application in C#, Visual Studio 2010

切比雪夫加权波束形成算法，与最优阵列信号处理书籍配套。(Cut Chebyshev weighted beam forming algorithm, and the optimal array signal processing books matching.)

利用MATLAB编程解飞秒激光与物质相互作用时所用到的双温方程(solve two tempture model)

simple code for rotating spinor in the bloch sphere . Not that great . Used quaternion to do the job.