daima

DTW is one of the method to identify speech and signature or any biometric hope to enjoy it

说明：  参数估计方法在目标跟踪中的应用,自己做的一个基于matlab的实验(Parameter estimation methods in target tracking application, have done an experiment based on matlab)

802.16e，该程序主要是仿真了发端，包括加扰码，编码，调制，FFT逆变换等。(802.16e， the program mainly simulate the transimte)

this is a book for antenna

蒙特卡洛算法的例程，包含所需的全部相关程序(Monte Carlo algorithm routine)

说明：  多目标跟踪，可处理多个目标，但8个以上效果就不行了。(Tracking, can handle multiple targets, but more than 8 results does not.)

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)

完整的ofdm，lmmse 算法 zf算法各种调制(ofdm simulink )

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)

The future 980 version of LS-DYNA will include Computational Fluid Dynamics (CFD) solvers. The main objective of these new solvers will be to perform fluid structure interactions by directly solving the Navier-Stokes equations and by using any LS-DYNA Lagrangian model for the solid part.