时域平均是从混有噪声的复杂周期信号中提取感兴趣周期分量的常用方法，但在其实施时往往由于周期截断误差的存在而不能取得满意的效果。本文提出了信号时域平均处理的新算法，基本上解决了周期截断误差对平均结果的影响问题。分析验证说明：新算法比过去的旧算法效果好得多 Time-domain averaging is a common method to extract the periodic components of interest from the complex periodic signal with noises. However, its implementation often can not achieve satisfactory results due to the existence of periodic truncation errors. In this paper, a new algorithm for signal average processing in time domain is proposed, which basically solves the problem of the effect of periodic truncation error on the average result. Analysis and verification shows that: the new algorithm is much better than the old algorithm