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说明：  地震、测井方面matlab代码~可以适用于勘探开发中(SeisLab)

Interpolation refers to the process of converting a sampled digital signal (such as a sampled audio signal) to a higher sampling rate (Upsampling)

tutorial matlab gratis

计算hht 谱分析matlab 程序，仅供参考(hht spectral analysis program for matlab)

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.)

实现的Sara强化学习算法，动作选择策略为贪心策略，且存在收敛条件和最终状态。(The implemented Sara reinforcement learning algorithm, the action selection strategy is a greedy strategy, and there are convergence conditions and final states.)

说明：  数字信号处理对于信号的基本matlab运算操作，有助于理解信号(The basic matlab operation of digital signal processing is helpful to understand the signal)

ofdm信号的仿真程序，接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档(ofdm simulation)

matlab平台下的人脸检测程序,效果较好，能够准确识别出多张人脸.(matlab platform under the face detection process, Better able to accurately identify multiple faces.)

Coordinated Guidance of Autonomous UAVs via Nominal Belief-State Optimization