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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。
This paper introduces the principle of discrete binary wavelet transform and MALLAT tower algorithm to realize multi-scale discrete wavelet transform. An example is given to separate the signal and noise of tactical acoustic target using multi-scale discrete wavelet transform. The obtained computer Simulation results show that the use of discrete binary wavelet transform to filter out noise, can achieve higher signal to noise ratio.