摘要
介绍了小波变换与傅立叶变换的基本原理,对γ能谱降噪引入了小波变换方法并将其与傅立叶变换方法做了比较,针对60Co的γ能谱分别用小波变换方法和傅立叶变换方法进行了噪声消除。MATLAB语言仿真结果表明,基于小波变换的降噪方法与传统的傅里叶变换方法相比具有较高的精度,应用于γ能谱降噪是非常理想的。
This paper introduces the basic principle of wavelet and Fourier transforms, applies wavelet transform method to denoise γ energy spectrum of ^6o Co and compares it with Fourier transform method. The result of simulation with MATLAB software tool shoshowed that as compared with troditional Fourier transform. Wavelet transform has comparatively higher accuracy for）, energy spectrum denoising and is more feasible to γ energy spectrum denoising.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
2007年第1期134-137,107,共5页
Nuclear Electronics & Detection Technology
关键词
Γ能谱
小波变换
傅立叶变换
降噪
γ energy spectrum
wavelet transform
fourier transform
comparative study
