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基于MATLAB语言之心电信号处理的文件(MATLAB language-based ECG processing)

无功补偿matlab/simulink仿真图，建模详细，有一定参考价值！(Reactive power compensation matlab/simulink simulation map, detailed modeling, there is a certain reference value!)

说明：  认知无线电频谱感知方法和程序 希望对大家有用谢谢(Cognitive radio spectrum sensing methods and procedures for the hope that useful thank you)

系统辨识与自适应控制课程的实例，里面有十几个程序值得大家借鉴(Examples of system identification and adaptive control of the curriculum, a dozen programs refer to the reference inside)

Probabilistic Neural Network

将示波器存的*.csv数据文件用MATLAB读取，并进行FFT 详细介绍：http://blog.sina.com.cn/s/blog_155063c740102w4ca.html(*.csv data files stored on the oscilloscope with MATLAB read, and FFT http://blog.sina.com.cn/s/blog_155063c740102w4ca.html)

这是一个关于未编码IDMA系统的仿真程序，调制方式是用BPSK(This is a study on non-coded IDMA system simulation program, using BPSK modulation)

matlab 模式识别工具包 希望能对你们有用(pattern recognition matlab toolkit hope to be useful to you)

平台式惯性导航系统仿真，可用于学习误差分析，静基座卡尔曼滤波对准(Platform inertial navigation system simulation,can be used to study error analysis ，the static Kalman filter aligned base)

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.)