Abstract:In this paper, linear superposition algorithm and zero-delay multiplication algorithm are used in transient signal detection experiments in synthetic data respectively, and their effects in transient signal recognition are compared. The results show that the zero-delay multiplication of multi-channel on the same station and multi-channel on multi-station data can suppress the interference and noise more effectively, magnify the quasi-synchronous transient signal, and realize the preliminary detection and recognition of transient abnormal signal. On this basis, the zero-delay multiplication algorithm is used to process the fixed-point deformation observation data of Yunnan from 2002 to 2022, and 11 sets of transient short-duration signals are identified from the data, and the spatio-temporal correlation between the signals and the earthquakes above MS5.0 in Yunnan is further analyzed.
ZHANG Yuan,CUI Qinggu. Research on Detection Methods of Transient Short-Duration Abnormal Signals of Fixed-Point Deformation Data[J]. jgg, 2024, 44(1): 100-104.