基于自回归模型的信号特征提取研究

Research on Feature Extraction of Signal Based on Autoregressive Model

自回归参数模型系数法是信号特征提取的重要方法。采用了自回归模型的不同算法对声信号数据进行了对比分析讨论。通过实验仿真证明了信号预处理的重要性及不同特征提取方法对检测结论的不同影响。

Parameter method of using autoregressive model is one of most important way to signal extraction. The signal data from different algorithms of autoregressive model is analyzed. Simulation results prove that different outcomes attributes different extractions and the importance of preprocessing.