DV_HOP

计算两组数据的相关性，皮尔森相关性分析,大家可以参考下(Two sets of data to calculate the correlation, Pearson correlation analysis, you can refer to)

锅炉燃烧系统的模糊预测控制，完整的程序设计流程图(Boiler combustion system of fuzzy predictive control, complete the program flow chart)

Matlab 实例-编写M脚本文件，涉及比较深层的 MATLAB 内容：脚本；函数（一般函数、内联函数、子函数、私用函数、方法函数）；程序调试和剖析；数据结构（类、对象）；重载和继承；面向对象编程。本章配备了许多精心设计的算例。这些算例是完整的，可直接演练的。读者通过这些算例，将真切感受到抽象概念的内涵、各指令间的协调，将从感知上领悟到面向对象编程的优越和至关要领。(Matlab Examples- the preparation of M script file, involving comparison MATLAB deeper content: script function (general function, inline function, Functions, Private Functions, methods, functions) program debugging and analysis data structure (class, object) Overloading and inheritance object-oriented programming. This chapter with a number of carefully designed examples. These examples are complete, can directly exercise. Through these examples the reader will really feel the meaning of abstract concepts, the coordination between commands from realizing that the perception of object-oriented programming and to the superior customs essentials.)

模式识别工具箱 包含大部分duda的《pattern classification》的习题程序(pattern recognition toolbox)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

实现（2，1，7）卷积编码以及相应的viterbi译码(achieve (2,1,7) convolutional code and the corresponding Viterbi decoding)

用MATLAB编写的经典的LMS算法，实现和验证了该滤波器的功能和性能。(Classical LMS algorithm using MATLAB, implement and verify the functionality and performance of the filter.)

this paper talks about ofdm synchronization,hope it to be of help to evrybody

Kalman_matlab 滤波，预测测量数据(Kalman_matlab filtering, predictive measurement data)

永磁同步电机（PMSM）位置滑模变结构控制仿真，SVPWM(Permanent Magnet Synchronous Motor (PMSM) position variable structure control simulation, SVPWM)