Abstract This paper reviews different properties of non-stationary signals and white noise after wavelet decomposition, and presents a new method of white noise reduction based on wavelet transform which can be realized with fast algorithm. The simulation results show that the method can be applied to white noise reduction of non-stationary signals efficiently.