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压缩感知文献及相应的程序(Compressed sensing literature and the corresponding program)

说明：  本文正是在研究WIMAX/802.16e协议和FMIPv6协议的基础之 上，提出了基于FMIPv6的WIMAX网络快速切换机制，该方案采用跨 层切换的思想，MAC层联合网络层同时进行切换，在链路尚未断开 之前即完成新转交地址(NCOA)获取等功能，从而加快了切换进程， 减小了切换时延和切换时的丢包率。在提出本切换机制的基础上，本 文在NSZ仿真平台上对所提出的切换方案做了系统性的性能仿真，通 过仿真结果验证了方案的可行性和优越性。 ( In this paper, IEEE802.16e standard is described at first. Then an introduction for the basic knowledge and research in MIPv6 and FMIPv6 protocol is given. A fast handover scheme of WiMAX network which based on FMIPv6 protocol is suggested, which implements the fast handover at IP layer associating with MAC layer at the same time. scheme minimizes handover latency by predicting and preparing This the impending handover in advance. Finally, simulation are carried out to evaluate the performance of this fast handover scheme. The result of the simulation shows that the fast handover scheme has good performance. )

codings for fiber optics

用matlab编写的关于流体计算和传热的几个程序(Fluid flow calculation and heat transfer program written by MATLAB)

there is an example given

matlab函数文件 绘制卫星视角的三维地球视图 清晰逼真(matlab function file rendering three-dimensional perspective of the Earth satellite view vivid)

这不是一个标准MATLAB的函数 H = hpfilter （类型，男，氮， D0 ， n ）的创建传递函数的高通滤波器，氢，指定的类型和大小MxN 。可能的值类型， D0和N是： 理想 理想高通滤波器的截止频率D0 。 Ifsupplied ， n是被忽略。 btw 巴特沃思高通滤波器 n阶和截止D0 。 gaussn 高斯高通滤波器的截止（标准偏差） D0 。 如果提供，正被忽略。 M和N应该是偶数的密度泛函过滤。(THIS IS NOT A STANDARD MATLAB FUNCTION H = hpfilter (type,M,N,D0,n) creates the transfer function of a highpass filter, H, of the specified type and size MxN. Possible values for type, D0, and n are: ideal Ideal highpass filter with cutoff frequency D0. Ifsupplied, n is ignored. btw Butterworth highpass filter of order n, and cutoff D0. gaussn Gaussian highpass filter with cutoff (standard deviation)D0. )

这一课我们用 4 个按键来控制播放音乐。K1－K3 每个键播放一首音乐，K4 按键停止 音乐的播放 (this)

说明：  多种方式求解TSP问题，有遗传算法，A*算法，D算法，模拟退火，神经网络等(A variety of ways to solve TSP problem, a genetic algorithm, A* algorithm, D algorithm, simulated annealing, neural networks)

A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [