运用离散二进小波变换分离声目标的信号与噪声

Discrete Binary Wavelet Transform Used to Distinguish Signal and Noise of Tactical Acoustic Targets

本文介绍离散二进小波变换的原理和实现多尺度离散二进小波变换的MALLAT塔式算法,给出了一个利用多尺度离散二进小波变换对战术声目标进行信号与噪声分离的实例;所得计算机模拟结果表明,运用离散二进小波变换滤除噪声,能够获得更高的信噪比。

The theory of discrete binary wavelet transform and the MALLAT - pyramidal algo ithm to compute the multiscale wavelet transform are described in this paper. An example of signal processing concerning an acoustic target in the battlefield is provided by use of the discrete binary wavelet transform. The computer-simulated result shows that the method of discrete wavelet transform is very effective for distinguishing signal and noise and for improving the signal - to - noise ratio.