inter_recons

使用matlab仿真随机编码过程，可以成功运行(To use matlab simulation of random coding process can be run successfully)

一种下垂控制的模型，参数设好，可以运行，仅供参考学习。( One kind of droop control model, the parameters had set up, you can run it,just for reference study.)

说明：  Advanced Engineering Mathematics using MATLAB by Harman, Dabney, Richert,书中全部源码(Advanced Engineering Mathematics using MATLAB by Harman, Dabney, Richert, book all the source code)

应用平面波法模拟蜂窝状二维光子晶体的te模带隙结构(Application of plane-wave simulation of two-dimensional honeycomb photonic crystal band-gap structure of te model)

列阵信号处理中，采用MUSIC算法，解决相干信号源的方向估计。(Array signal processing, the use of MUSIC algorithm to resolve the direction of coherent sources estimate.)

说明：  先进pid控制matlab仿真（第二版） 1、所有仿真算法按章归类，光盘中的程序名与书中一一对应。 2、将光盘中的仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。 3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。 4、程序chap1_11.mdl；chap3_2.mdl；chap3_5.mdl；chap6_2.mdl；chap6_4.mdl需要在Matlab6.5下运行，特此说明。 5、假如您对仿真程序有疑问，请及时通过 E-mail 与作者联系。 北京航空航天大学 刘金琨 E-mail 地址： ljk@dept3.buaa.edu.cn或ljk@buaa.edu.cn (advanced pid control Matlab simulation (2nd Edition) 1, all simulation algorithm grouped by chapter, the CD-ROM from the procedure he gathers with the book. Two of the CD-ROM simulation program MATLAB copied to the hard drive running in the path, the simulation can be run. 3, the book algorithm in MATLAB 5.3 version running success, and applicable to other versions. 4, procedures chap1_11.mdl; Chap3_2.mdl; Chap3_5.mdl; Chap6_2.mdl; Chap6_4.mdl need Matlab6.5 running, it is noted. Five, if you are right simulation program have queries, please timely adoption of E-mail contact with the author. Beijing University, Hangzhou aviation space E-mail address : ljk@dept3.buaa.edu.cn or ljk@buaa.edu.cn)

两个信号源，八个阵元，采用DML实现DOA方位角估计，给出空间谱图。(Using DML algorithm to estimate the azimuth of DOA)

说明：  核极限学习机，验证过可用，核极限学习机(ELM algorithm USES the kernel function, can obtain better results)(kernel-elm(ELM algorithm USES the kernel function, can obtain better results))

MATLAB 潮流计算程序，前推回代方法计算潮流分布(MATLAB flow calculation procedure, forward and backward substitution trend of the distribution method)

Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of the hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute pointto- point distance estimates. Because coarse accuracy is sufficient for most sensor network applications, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches.