viterbi_decode

圆阵列的自适应干扰抑制方法，给出了圆阵的自适应方向图，多个投影方向的平面图和两种坐标系的三维图(Circular array of adaptive interference suppression methods, gives the circular array of adaptive pattern, the direction of the plan more than one projector and two three-dimensional map coordinates)

无刷直流电动机矢量控制模型,控制IGBT而改变输入的.(The vector control model of Brushless DC Motor. Brushless DC Motor drived by IGBT)

宽带信号测向的几种直接处理算法，主要用于宽带目标的DOA估计(Broadband signal measurements to directly deal with several algorithms, the main goal for broadband DOA estimate)

说明：  一篇关于SIMULINK实时设计的文章，很不错的资料，互相学习一下吧。(SIMULINK real-time design of an article on the article, very good information, learn from each other about it.)

数值计算常用程序 牛顿法了 阿达姆斯了 雅克比 等十多个 本人自己编的 很适合初学者 C语言和matlab的 欢迎下载(Newton numerical procedure used the Adams Jacques ratio of more than 10, I made themselves very suitable for beginners are welcome to download)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

基于MMC逆变器的MATLAB的模型，初学者学习用。电力电子行业与电气工程行业学习资料。(MMC converter)

说明：  用选主元的Gauss-Jordan方法计算矩阵的逆矩阵 matlab(With pivoting Gauss-Jordan method of inverse matrix matlab)

一个端点检测程序，用matlab编写。endpoint detection(an endpoint detection procedures, using Matlab prepared. Endpoint detection)

Q 学习方面的MATLAB程序，对于研究强化学习和自适应动态规划的朋友很有参考价值(Q learning MATLAB. For the study of reinforcement learning and adaptive dynamic programming )