Abstract
Wavelet transform requires more computation time than Fourier transform. That leads to an obstacle of its engineering application. So the authors propose an efficient calculation method of wavelet transform. Using this method, the authors extract an acoustic signal embedded in noise. The performance of this method is demonstrated via comparing with band-pass filter approach.