Reduction of random noise for seismic data by time frequency peak filtering
用时频峰值滤波方法消减地震勘探资料中随机噪声的初步研究

Time-frequency peak filtering(TFPF) is a novel signal enhancement algorithm,which is based on time-frequency analysis.TFPF could eliminate random noise,and recover filtered signal.In this paper,we make use of TFPF to get a clean recovery of common shot records with 40 channels in random noise.It is concluded the errors of peak and valley are bigger and the relative errors of wavelet bandwidth is less than 25% through comparing the wavelet shape,the Wigner-Ville distribution and Fourier transform spectra of amplitude of two filtered channels chosen from the 40 channels at will.Here we choose the twenty-first channel and the seventh channel.The filtered records could clearly show the event of synthetic seismic data,and get a clean recovery of the records in noise level down to a signal-to-noise ratio(SNR) of-7dB.Therefore it indicates the efficiency of the algorithm as a noise-eliminated method for seismic data.