The temporal resolution of conventional S transform (ST) is not sufficient for the separation of local coherent noise. We present a revised S transform (RST) which uses an analyzing window function with two control parameters of the scalar σ and the exponential factor γ. Selecting proper parameter values (say σ = 1.1, γ = 1.08), the time–frequency representation (TFR) acquired by our method exhibits a higher temporal resolution. Applying an appropriate filter in the time–frequency domain, we are able to remove specific local noise. Distributed acoustic sensing (DAS) VSP section may suffer from fiber cable coupling noise, hindering the subsequent data processing and geologic interpretation. The real data example shows the coupling noise occurred in the DAS VSP can be removed by the presented RST.

传统S变换（ST）的时间分辨率不足以分离局部相干噪声。我们提出了一种改进的S变换（RST），该变换使用带有标量σ和指数因子γ的两个控制参数的分析窗口函数。选择适当的参数值（例如σ  = 1.1，γ = 1.08），我们的方法获得的时频表示（TFR）具有更高的时间分辨率。在时频域中应用适当的滤波器，我们能够消除特定的局部噪声。分布式声学传感（DAS）VSP部分可能会受到光缆耦合噪声的影响，从而阻碍了后续的数据处理和地质解释。实际数据示例显示，DAS VSP中发生的耦合噪声可以通过提出的RST消除。