直升机声信号的特征分析

根据传统语音信号的分析方法分析了直升机声信号，采用MATLAB软件进行了仿真，提取出了两种直升机声信号的短时自相关函数、短时频谱图和线性预测系数LPC，并分析对比了两种不同型号直升机声信号的特征。实验结果表明短时自相关、短时频谱和LPC等特征参数能较好地分析与识别不同类型的直升机声信号。

Feature Analysis of Helicopter Acoustical Signals

In this paper, helicopter acoustical signals were analyzed by the means of traditional acoustical signal analysis methods. Short-term autocorrelation function, short-term frequency spectrum and LPC co- efficients of two different kinds of helicopter acoustical signals were extracted, by the simulation of MAT- LAB software. Features of these two kinds of helicopter acoustical signals were analyzed by comparison. The experimental results show that short-term autocorrelation function, short-term frequency spectrum and LPC coefficients can analyze and compare different kinds of helicopter acoustical signals relatively well.