dft_nfir

本文是基于MATLAB的具有时延和丢包的网络控制系统的补偿控制分析研究(Predictive Control of Network Control System w ith Network Delay and Data PacketDropout)

it is code matlab for calling every dataser

EMD方法最新国外普林斯顿大学论文，有关生物，医疗，故障检测方面(EMD method latest foreign Princeton University thesis, biological, medical, fault detection)

Easily editable files to simulate three MIMO predictive control algorithms. These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation. (Easily editable files to simulate three MIMO predictive control algorithms.These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation.)

testpscad用以通过matlab来调用PSCAD程序，并执行PSCAD的模型，结束后关闭程序； testwrite是对PSCAD的模型进行修改的一个例子(testpscad matlab to call for the adoption of PSCAD program, and execute PSCAD model, after the close of the program testwrite PSCAD model is an example of modification)

说明：  本程序给出了认知无线电中的能量检测方法，并实现了在不同的虚警概率下的检测性能比较。(This procedure gives the method of energy detection of cognitive radio , and the comparison of detection performance at different false alarm probability .)

多目标DOA估计,均匀线阵，波达方向，线形调频信号，(many DOA estimation，ULA，Driection of arrival，LFM)

瑞利信道的仿真，以及瑞利信道下的编码解码过程的matlab实现(Rayleigh channel simulation, and the Rayleigh channel encoding and decoding process under the matlab implementation)

本资料包包含了系统的matlab建模用算法(This pack contains the system matlab modeling algorithm used)

该损伤模型通过 商用有限元软件ABAQUS /Explicit 的用户子程序VUMAT 实现，并使用该模型对碳纤维增强环氧树脂 复合材料层合板在横向低速冲击作用下的损伤和变形行为进行预测分析． 数值仿真的结果与试验结 果进行了比较，吻合良好，验证了该模型的有效性．(Through coding user subroutine VUMAT of finite element software ABAQUS /explicit， and applied the model to an example，carbon fiber reinforced epoxy composite laminates under low velocity impact，the prediction for damage and deformation were good agreement with the experimental results．)