基于小波技术的数据降噪

Noise reducing of data based on wavelet technology

逆向工程是近年来迅速发展起来的一个研究领域,对测量所获取的大规模数据进行降噪处理,是逆向工程的关键技术之一。在分析现有数据降噪方法的基础上,采用小波技术这一新的时-频分析工具,对测量得到的数据进行了降噪处理。通过对细节系数作用域值重构数据,既达到了降噪的目的,又保留了数据本身的特征信息。

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.