pmsm_control_new2

异构网垂直切换的仿真，内含有matlab代码，以及jakes模型，大尺度衰落(Simulation of heterogeneous network vertical handoff, containing matlab code, and the jakes model, large scale fading)

对声音信号的时域分析频域分析采样并显示时域分析结果，还有录音并显示(Time-domain analysis of the sound signal frequency domain analysis of the sample and displays the time domain analysis, as well as recording and display)

正弦波的LP建模 能显示原正弦波波形及它的频谱图，LP模型的频谱图，LP模型的极点图，LP模型的脉冲响应图。(This demonstration illustrates the modelling of a sinewave with an LP model The displays show the sinewave,it spectrum, the spectrum of the LP model,the poles of the LP model and the impuse response of the LP model.)

其基本思想是：采用信号与噪声的状态空间模型，利用前一时刻地估计值和现时刻的观测值来更新对状态变量的估计，求出现时刻的估计值。它适合于实时处理和计算机运算。 (The basic idea is: use of signal and noise state-space model, the estimated value of the previous time and are always observations to update the estimated state variables, find an estimate of time there. It is suitable for real-time processing and computing.)

自适应窗口平滑,萨达是拉发牢骚复旦大学，说什么至少20个字？？(adaptive window smoothing)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

analyze data association algorithms (Nearest Neighbour and JCBB) in SLAM. Data association is basically a combinatorial optimization problem whose goal is to find the “best” set of associations between the observations and predictions according to a particular criterion (e.g. individual compatibility). Form this point of view, near- est neighbour (NN, a.k.a. ML) is simply a “greedy” algorithm in which the “compatibility” of individual associations with each other is not examined. On the contrary, JCBB, by considering both the individual and joint compatibility, is able to yield much better results. JCBB uses the branch and bound technique in order to prune the search tree

三个改进的径向基网络的matlab源程序(RBF)

cstering in mtlb.to cstetring in

基于SIMP法的169行连续体结构三维拓扑优化程序，采用优化准则法求解。(A 169 LINE 3D TOPOLOGY OPITMIZATION CODE)