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时域平均是在时域中从混有噪声的信号里提取周期性分量的有效方法,不仅对正弦信号,对其它任意波形的周期信号的提取,都可得到满意的结果。如果进行N次时域平均,可将信噪比提高√N倍。本文叙述了时域平均的数学原理,对机床的振动、噪声信号用时域平均方法提取了正弦分量,对人呼吸准周期非正弦信号,得到了统计平均的周期和呼吸信号变化的直观图形,为供应氧气装置的设计提供了参考。
Time-domain averaging is an effective way to extract periodic components from a noisy signal in the time domain. Satisfactory results are obtained not only for sinusoidal signals but also for the periodic signal extraction of any arbitrary waveform. If you do N time-domain averaging, you increase the signal-to-noise ratio by √N. This paper describes the mathematical principle of time-domain averaging. The vibration and noise signals of the machine tool extract the sinusoidal components by the time-domain averaging method. The non-sinusoidal signals of the human breathing quasi-periodic are obtained. The statistical average period and the change of the respiratory signal are obtained. Oxygen supply device design provides a reference.