摘要
针对水声目标信号检测与识别中,海洋环境噪声的存在所造成的检测性能下降问题,提出一种基于统计小波模型的信号去噪及原信号波形估计方法。通过对舰船声信号以及海洋环境噪声信号特性的分析,根据信号的概率密度函数,推导出信号小波系数的相邻尺度间关系,从而建立信号的去噪模型,对仿真和实测数据的分析都验证了方法的有效性。
Based on statistical wavelet model, a method for underwater signal denoising and signal waveform estimation is proposed to decrease the effect of the ambient noise. Through the analysis of ship-radiated noise and ambient noise, the interscale relationship of wavelet coefficients is induced according to signal power density function, and then the denoising model is proposed. Analysis of the data shows the effectiveness of the proposed method.
出处
《电声技术》
2011年第4期60-62,共3页
Audio Engineering
关键词
统计小波模型
线谱
去噪
statistical wavelet model
line spectrum signals
denoising
