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西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第5.mvdr章的程序， 大家学习交流，觉得有用的自己下载，(西蒙赫gold Adaptive Filtering Theory matlab program book, and now continue to upload the first chapter 5.mvdr procedures, everyone learning exchanges, and find useful to download their own,)

说明：  语音库-爱尔兰国内大学梅努斯内部版本-结合matlab使用说明(Voice Library- University of Maynooth Ireland within the domestic version- for use with matlab)

Matlab基于卡尔曼的视频序列帧图像的跟踪程序(Matlab based Calman frames of a video sequence image tracking procedures)

MATLAB的基本知识，基本运算与函数整理(MATLAB basic knowledge, basic calculations and function finishing)

本章先分析说明伪谱法求解波动方程的算法原理，再给出弹性波场伪谱法数值模拟的改进算法；然后，通过直接引入P波波场变量和S波波场变量，给出可实现弹性波场的P波和S波分解的波动方程，并用伪谱法实现弹性波场的P波和S波分解的数值模拟；最后用伪谱法对井间地震的复杂波场作数值模拟，分析井间地震波场中各种波的传播规律。(In this chapter, the principle of pseudo-spectral method for solving wave equation is analyzed, and then an improved algorithm for numerical simulation of elastic wave field is given. Then, by directly introducing P-wave field variable and S-wave field variable, the wave equation which can realize P-wave and S-wave decomposition of elastic wave field is given, and the P-wave sum of elastic wave field is realized by pseudo-spectral method. Numerical simulation of S-wave decomposition; finally, pseudo-spectral method is used to simulate the complex cross-well seismic wave field and analyze the propagation law of various waves in cross-well seismic wave field.)

说明：  基于模板的图像匹配，使用matlab实现，代码简洁， 有清晰注释(Template-based image matching, the use of matlab, the code is concise, clear notes)

实现一个单相不控的全桥整流器 交流母线电阻R1，直流滤波电容C，负载电阻R(achieve a single-phase control is not a full-bridge rectifier AC Bus resistor R1, DC filtering capacitor C, load resistor R)

model reference with simulink

Generalized Method of Moments(GMM) 广义矩方法，是用来估计模型参数的计量经济学过程。具体说明见其中的gmmdoc.pdf。(Generalized Method of Moments (GMM) GMM method is used to estimate model parameters Econometrics process. See which specify gmmdoc.pdf.)

能量有效的无线传感器网络部署将无线传感器网络的节点部署问题抽象为圆覆盖问题(Energy efficient wireless sensor network deployments will deploy wireless sensor networks for the circle covering problem is abstracted)