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HIGH VOLUME LDA EXPERIMENTAL DATA ANALYSIS USING AN OBJECT-ORIENTED APPROACH

机译:使用面向对象的方法进行大批量LDA实验数据分析

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The processing and analysis of large volumes of quantitative data that can be gathered by fluid flow diagnostics systems such as Laser-Doppler Anemometry systems and other computerised data acquisition systems can pose quite a challenge. Often, it is required to establish time-mean and RMS values of several cyclic parameters that have been measured continuously with time. Writing a simple routine in a procedural language can be more difficult than first imagined. The paper demonstrates an object-oriented approach that is surprisingly simple, yet extremely flexible and can handle many megabytes of raw data in a flash.
机译:诸如激光多普勒风速仪系统之类的流体流动诊断系统和其他计算机化数据采集系统所能收集和处理的大量定量数据可能会带来很大的挑战。通常,需要建立随时间连续测量的几个循环参数的时间平均值和RMS值。用程序语言编写一个简单的例程可能比最初想象的要困难。本文演示了一种面向对象的方法,该方法出奇的简单,但却非常灵活,并且可以在闪存中处理许多兆字节的原始数据。

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