利用小波滤波方法对γ能谱进行处理

Manipulation of γ spectrum with wavelet filtering method

最小二乘平滑滤波是目前用来对带有统计涨落的γ能谱进行处理的主要方法 ,这种方法可以很好地去除γ能谱中的统计涨落。它的缺点是有可能使γ能谱的形状发生畸变。本文应用小波滤波对复杂的γ能谱进行滤波处理。由于小波变换的多分辨率特性 ,使得滤波既做到了对能谱统计涨落的消除 。

Least square smooth filtering is the general method used to treat the γ spectrum with fluctuation. The fluctuation can be well reduced, however, the shortcoming of this method is that the shape of the γ spectrum may be distorted. For its benefit of multi-resolution, wavelet analysis is used to filter the complex γ spectrum, the flucturation of γ spectrum is filtered, while the shape of characteristic peak is still kept well.