Applied Research on Wavelet Transform in Signal De-noise

The basic principle of wavelet transform is analyzed.Using the wavelet transform and FFT,noisdopp signal is de-noised,and the results are contrasted.Results show that when the wavelet threshold de-noising it can well retain the peak portion and mutation of useful signal.The speech signal collected in real-time is simulated by computer.Results show that the wavelet transform can extract useful signal from the strong background noise and retains most of the energy of signals,while having better similarity with the original signal.The wavelet transform improves the signal-to-noise ratio greatly and has important value of engineering application in signal de-noising.