Meyer J U, Intaglietta M
Ann Biomed Eng. 1986;14(2):109-17. doi: 10.1007/BF02584262.
The diameter of the arteriolar vessels of the microcirculation undergoes a continuous variation as a consequence of vasomotion. The quantification of this process requires the implementation of spectral analysis techniques that model short data records of a finite number of superposed sinusoidal waveforms. The following techniques were tested with artificially synthetized records and actual data: the fast Fourier transform, the high-resolution autoregressive method, the maximum entropy method, and the Prony Spectral Line Estimator (PSLE). It was found that the PSLE provides the most accurate estimation of the spectral components of the dynamics of diameter changes because it does not require any assumption on the nature of the data outside the interval under analysis.
由于血管运动，微循环中微动脉血管的直径会持续变化。对这一过程进行量化需要采用光谱分析技术，该技术对有限数量叠加正弦波形的短数据记录进行建模。以下技术通过人工合成记录和实际数据进行了测试：快速傅里叶变换、高分辨率自回归方法、最大熵方法和普龙谱线估计器（PSLE）。结果发现，PSLE能够最准确地估计直径变化动态的光谱成分，因为它不需要对分析区间之外的数据性质做任何假设。
