mle-(1)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

说明：  802.11a的方针，有维特比编译码，较之于结交志(the Matlab/Simulink system, matched filtering, carrier recovery, rehabilitation Timing important module, the better modulation and demodulation system 16Qam understanding)

Matlab自带的Simpowersystems电力仿真环境的指导材料。值得大家参考。(Matlab comes Simpowersystems guidance material power simulation environment. Worthy of your consideration.)

matlab robotics toolbox sample

最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

说明：  金融衍生物定价方法matlab程序，里面有说明文档，值得参考(Matlab program of financial derivatives pricing)

说明：  matlab gui 界面，很简单的一个界面(matlab gui interface, a simple interface)

Simulation for neural networks in matlab

对07 年b数学建模用matlab解决了如何求直达矩阵，程序简单(07 b of the use of mathematical modeling to solve how to find direct matlab matrix, the program simply)

The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear state observers used in control theory. Its principal advantage is that it does not require a detailed system model.