The conditional average is a technique to extract a typical waveform from bursty or quasi-periodic phenomena regarded as a combination of deterministic trend and residual fluctuations (or probabilistic part). The article proposes a new conditional average technique that is an extension from what is called the template method that allows automatic selection, using the correlation analysis, of the identical events of the phenomena. The proposed method is applied on a quasi-periodic oscillation observed in a linear magnetized plasma, and successfully divides the phenomenon into the deterministic trend and residual fluctuations. Moreover, the statistical error analysis on the power of the residual fluctuations discloses the presence of mutual interactions between the deterministic trend and the residual fluctuations.

条件平均值是一种从突发性或准周期性现象中提取典型波形的技术，这些现象被视为确定性趋势和残余波动（或概率性部分）的组合。本文提出了一种新的条件平均技术，该技术是对所谓的模板方法的扩展，该模板方法允许使用相关分析自动选择现象的相同事件。将该方法应用于线性磁化等离子体中观察到的准周期振荡，并将该现象成功地划分为确定性趋势和残余波动。此外，对剩余波动的影响力的统计误差分析揭示了确定趋势与剩余波动之间存在相互影响。