MATLAB-command

说明：  一种PSO和POWELL相结合的快速搜索算法，有很强的实用性(POWELL A combination of PSO and the fast search algorithm, has a strong practical)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)

用matlab读入各个通道载荷数据，计算最大幅值应力，并保存。没有次数。(max load )

火星探测器最优小推力变轨MATLAB程序(Optimal low-thrust orbit Mars probe )

Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but will be referenced from your current state, that is to say the random vector is added to your current state. depending on complexity

k-mean算法，使用matlab工具箱工具对图像进行聚类分割。(k-mean algorithm, using matlab clustering toolbox tool for image segmentation.)

kalman filter the kalman filter demo is here.

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

Joomla Component Development

对一个产生的离散序列作傅立叶变换，分析其频率响应特性（给出幅频与相频特性曲线）(A discrete sequence generated for the Fourier transform to analyze the frequency response characteristics (frequency and amplitude given phase frequency response curve))