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Faced with the massive information and data, signal and information processing need to solve the problem of removing redundant information and obtain useful information. The PCA method is introduced, which can detect the effective information in noise. Taking the simulated seismic data as targets, the principle component is used to analysis the seismic data in different speeds and slopes in the first place . And then using the principle component to recover the original signals is studied. After the signal simulation experiment, the principle component effectiveness is verified further after comparing the original signals and the recovered signals not adding noise.

Using the Principal Component Analysis to Detect the Effective Information in Noise