基于小波分析的湍流采样数据量缩减算法

根据缩减数据必须反映与原数据统计同等的湍流流动信息准则，利用小波分析良好的时频双局域性信号处理特点，结合统计检测理论提出了一种相对合理的湍流采样数据量缩减算法.与传统算法及已有算法比较，由该算法缩减所得的数据量稍大但更能合理反映与原数据统计同等的湍流流动信息.选取湍动能为统计特征量，对沟槽壁面减阻机制实验数据进行了缩减分析，结果验证了该数据缩减算法的合理性和可靠性.

Algorithm of Reducing the Sample Size of Turbulent Experiment Based on Wavelet Analysis

Based on the statistic detecting methods,a reasonable algorithm was put forward to reduce the sample size of turbulent experiment.Wavelet analysis method was adopted in the algorithm to get the characteristic parameters of turbulent flow in both time domain and frequency domain.Comparing with the former algorithms,the reduced data size by the algorithm is larger,but it includes the same information with the initial sample data statistically.An example was provided to prove the reliability and rationality of the algorithm,where the sample data is from the experiment on the mechanism of rib-lets drag reduction and the turbulent kinetic energy is selected as the statistic characteristic parameter.