Papers by Keyword: Generalized S Transform

Abstract: The precision of seismic reflection data does not fulfil to explore private and complex structure oil-gas pools. So we need to improve the resolution of seismic data. To achieve this, we used the inverse Q filter methods to improve the resolution for the seismic data. The results for processing the pre-stack seismic data indicated that the inverse Q filter method can improve peak frequency and frequency bandwidth. Low and middle-high frequency components in those results are reasonable, and its signal/noise ratios are obviously larger than that for other methods in middle-high frequency. Moreover, the results using various Q values indicated that the peak frequency is little added and the frequency bandwidth is expanded when Q value is reducing, but the signal/noise ratio is reducing. Moreover, the improving of the signal/noise ratio is very small when Q value is larger than 200.0, namely addition for Q value only gains reducing of the peak frequency and the bandwidth.

Abstract: Aimed at the problem of low resolution and cross term interference of the traditional time-frequency analysis methods, a new time-frequency filtering method based on generalized S transform is proposed. The method is extended under the premise of the linearity, lossless invertibility, high time-frequency resolution of S transform. On the basis, a coefficient which is direct to the signal energy distribution is introduced. In this way, the resolution of the S transform can be adjust adaptively. Eventually, this method is applied to the time-frequency filtering. The results of simulation and faulty bearing show that the proposed methodology can achieve good effect of noise reduction, and be more suitable for the non-stationary characteristics of vibration signals.