首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >Potential benefit from the application of autoregressive spectral estimators in the analysis of homogeneous and isotropic turbulence
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Potential benefit from the application of autoregressive spectral estimators in the analysis of homogeneous and isotropic turbulence

机译:自回归谱估计器在均质和各向同性湍流分析中的应用可能带来的好处

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摘要

Spectral estimators other than the conventional periodogram technique exist. The autoregressive (AR) method is one of the alternative spectral estimation procedures currently available. The technique is particularly adapted to the detection of narrow-band components in the lower frequency domain for short data records. However, the technique may also be used in the analysis of more "standard" turbulent flow configurations where no specific wave modes are necessarily expected. An example is given here in the case of homogeneous and isotropic turbulence developing freely downstream of a heated grid. The results reported in this paper are in good agreement with earlier findings and would thus tend to confirm the idea that the technique might be used successfully over a wider range of signals in fluid dynamics. They provide us with the opportunity to highlight one particular additional benefit of the AR method with respect to the identification of spectral regions with constant slopes.
机译:存在不同于常规周期图技术的频谱估计器。自回归(AR)方法是当前可用的替代光谱估计程序之一。该技术特别适用于短数据记录在低频域中窄带分量的检测。但是,该技术也可以用于分析“标准”湍流配置,而无需特定的波动模式。在均匀且各向同性的湍流在加热格栅的下游自由发展的情况下,这里给出一个例子。本文报道的结果与早期发现非常吻合,因此倾向于证实这种技术可以成功地用于流体动力学中更广泛的信号的想法。它们为我们提供了机会,突出显示了AR方法在识别具有恒定斜率的光谱区域方面的另一个特殊优势。

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