中文摘要：

拿 CVS (混乱震荡器系统) 的优点敏感 oflarge 规模对伪周期或周期的信号的周期的阶段状态反应，一系列数字实验被做理解 CVS 的能力由强壮的随机的噪音弄歪在普通射击的地震记录检测弱有效地震信号。结果证明 CVS 的大规模周期的阶段状态与从地震事件，噪音力量和表明的噪音失真度从水平行动构造的伪周期的小浪顺序的信号作文被相关。为事件的一样的类型，噪音失真度越高，越多降低可检测的 SNR 能被 CVS 到达。有一样的噪音失真度的 Forseismic 数据，越靠近扫描地震速度(试用外面移动速度) 精确速度的途径，可检测的 SNR 越 higher 由 CVS 装 ber eached。而且，截断扫描速度形成一条不对称的带，它间接地让 CVS 在事件完成一个大规模周期的阶段状态然后小浪失真系数的比率能是一个较大的可变范围。

英文摘要：

Taking the advantage of CVS （Chaotic Vibrator System） sensitivity of large-scale periodic phase-state response to quasi-periodic or periodic signals, a series of numerical experiments were made to understand the ability of CVS to detect weak effective seismic signals in the common-shot seismic record distorted by strong stochastic noise. The results demonstrate that the large-scale periodic phase-states of CVS are correlated with the signal composition of the quasi-periodic wavelet sequence constructing from horizontal moveout of seismic events, noise strength and the noise distortion degree to signal. For the same kind of events, the higher the noise distortion degree is, the lower the detectable SNR can be reached by CVS. For seismic data with the same noise distortion degree, the closer the scanning seismic velocity （the trial moveout velocity） approaches to the accurate velocity, the higher the detectable SNR can be reached by CVS. Moreover, the truncating scanning velocities form an asymmetric belt, which indirectly makes CVS achieve a large-scale periodic phase-state and then the ratio of wavelet distortion coefficients in events can be a biggish variable scope.