Noise reducing of data based on wavelet technology

The inverse engineering is a region of study that developed rapidly in recent years.To carry out noise reducing treatment on large-scaled data obtained from measurement is one of the key techniques of inverse engineering.On the basis of analyzing the now existed data noise reduction method and adopting the wavelet technology-a new time and frequency analysis tool,the noise reducing treatment was conducted on data obtained from measurement.By means of data reconstruction on the active threshold value of detailed coefficient,the target of noise reduction has not only been achieved but also the characteristics information of data itself has been retained.