一种基于子波变换的水声被动信号去噪方法

An Underwater Passive Signal Denoising Method Based on Wavelet Transform

根据水声被动信号的特点，采用二进子波变换理论，对水声被动信号进行多尺度分解，在子波变换的时频域对各分量进行分时分频相关分析和加权处理，然后通过子波反变换算法恢复出目标信号的时域分布。最后经舰船辐射噪声信号的去噪实验验证，表明该方法对水声被动信号的去噪具有良好的效果。

In the light of the features of underwater passive signalwe decompose underwater passive signals using the multiscale analysis of dyadic wavelet transformso some time frequency components are formed in the time frequency domain．To each component correlation analysis and weighting processing are made respectively． Using the wavelet inverse transform we recover the target signal of the ship．We finally illustrate the performance of the method by the denoising experiment of actual ship－radiated noise signals．