其中任何一种元素，都可能产生，有五条分立谱线的光电子能谱。
Any one of these different elements could actually produce a photoelectron spectroscopy spectrum that has five distinct lines.
本文提出的分立谱线辨识方法普遍适用于各种周期性时域信号的精密谱分析工作。
The method of discrete spectral line identification presented in this paper applies to the precise spectral analysis of all kinds of periodic time domain signals.
那么我们会问，比如，有哪些不同的元素可以产生，一个有五条分立谱线的光谱？
We might be asked, for example, to determine what all of the different elements could be that would produce a spectrum that gave us 5 different lines.
这一方法的测量精度远优于其它方法，并可适用于一切具有分立谱线的时域变量的测量。
This method, with superior measurement precision, is applicable to the measurement of time domain variable with discrete spectral lines.
相继两次DFT分析（实为一次复时域信号分析）可精确确定诸分立谱线的频率、幅度与相位。
The frequency and amplitude and phase of discrete spectral lines can be calculated through two DFT analyses one after another, which is one complex time domain signal analysis virtually.
我们要做的最要紧的事，如果我们在思考这种问题的话，其实只不过是,准确地确定哪些轨道会导致,这五条分立谱线在光谱中出现。
So the first thing that we want to do, if we're thinking about something like this, is just to determine exactly what orbitals are causing the five different lines that we're seeing in the spectrum.
因此，我们在光谱中看不到,分立的谱线。
So that's why we're not seeing separate lines in this spectrum.
结果表明，在堆积脉冲的强度谱中存在一系列分立的频率边带，这些频率边带对强度起伏有贡献。
The results show that there are several separated frequency sidebands in the intensity spectrum of the stacked pulse, responsible for the intensity fluctuation.
结果表明，在堆积脉冲的强度谱中存在一系列分立的频率边带，这些频率边带对强度起伏有贡献。
The results show that there are several separated frequency sidebands in the intensity spectrum of the stacked pulse, responsible for the intensity fluctuation.
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