摘要
探测时间序列中隐藏的周期信号是超导重力仪观测数据分析的目标之一,进行超导重力仪观测数据中隐含信号的检测,最常用的方法是快速傅里叶变换(Fast Fourier Transform ation,FFT)。首先对快速傅里叶变换的原理加以介绍,然后,结合1998年加拿大站全年的超导重力观测数据实例,详细讨论了用快速傅里叶变换进行谱分析的步骤,最后对数据结果进行了分析。
Detection of a periodic signal hidden in noise is frequently a goal in superconducting gravimeter. The Fast Fourier Transform （FFT） algorithm is the most popular spectral estimation technique for determing the power spectrum. This paper introduces the principle of FFT first, then the strategy of experimental studies of FFT is given to the data from Canadian Superconducting Installation in 1998. Finally, the detection of the periodic signal probably existed in time series through spectrum analysis is carried out.
出处
《海洋测绘》
2008年第2期40-43,共4页
Hydrographic Surveying and Charting
基金
国家海洋信息中心青年基金(25074402D)
关键词
超导重力仪
快速傅里叶变换
谱分析
superconducting gravimeter
Fast Fourier Transform
spectrum analysis
