Conventional time-space domain and frequency-space domain prediction filtering methods assume that seismic data consists of two parts, signal and random noise. That is, the so-called additive noise model. However, whe...Conventional time-space domain and frequency-space domain prediction filtering methods assume that seismic data consists of two parts, signal and random noise. That is, the so-called additive noise model. However, when estimating random noise, it is assumed that random noise can be predicted from the seismic data by convolving with a prediction error filter. That is, the source-noise model. Model inconsistencies, before and after denoising, compromise the noise attenuation and signal-preservation performances of prediction filtering methods. Therefore, this study presents an inversion-based time-space domain random noise attenuation method to overcome the model inconsistencies. In this method, a prediction error filter （PEF）, is first estimated from seismic data; the filter characterizes the predictability of the seismic data and adaptively describes the seismic data＇s space structure. After calculating PEF, it can be applied as a regularized constraint in the inversion process for seismic signal from noisy data. Unlike conventional random noise attenuation methods, the proposed method solves a seismic data inversion problem using regularization constraint; this overcomes the model inconsistency of the prediction filtering method. The proposed method was tested on both synthetic and real seismic data, and results from the prediction filtering method and the proposed method are compared. The testing demonstrated that the proposed method suppresses noise effectively and provides better signal-preservation performance.展开更多
We investigate Benford's law based on the 2003 version of atomic mass evaluation.It is demonstrated that the first non-zero digit distribution functions for a number of experimental quantities are in reasonable ag...We investigate Benford's law based on the 2003 version of atomic mass evaluation.It is demonstrated that the first non-zero digit distribution functions for a number of experimental quantities are in reasonable agreement with those predicted by Benford's law.The data that we investigate here include 3001 sets of Sp,3060 sets of Sn,2943 sets of two-neutron separation energies S_(2n),2826 sets of two-proton separation energies S_(2p),1643 sets ofβ^(+)-decay energies Q(β^(+)),1243 sets ofβ^(-)-decay energies Q(β^(-)),2595 sets of double,β^(-)-decay energies Q(ββ^(-)),and 2711 sets of energies in electron-capture proton processes Q(εp).The first non-zero digits of these data favor the smaller ones in a logarithmic pattern.展开更多
By the enlightmenf of the anharmonic vibrator description for the yra.st bands of the even-even 38≤Z≤82 nuclei with 2.05≤R(=E_(4)_(1)+/E_(2)^(+)_(1))≤3.15,a similar regularity for the non-yrast bands is revealed.T...By the enlightmenf of the anharmonic vibrator description for the yra.st bands of the even-even 38≤Z≤82 nuclei with 2.05≤R(=E_(4)_(1)+/E_(2)^(+)_(1))≤3.15,a similar regularity for the non-yrast bands is revealed.This systematics suggests that the excitations of the non-yrast bands may be regarded as the multi-phonon excitations above the corresponding bandhead,or the intrinsic states.展开更多
基金supported by the National Natural Science Foundation of China(No.41474109)the China National Petroleum Corporation under grant number 2016A-33
文摘Conventional time-space domain and frequency-space domain prediction filtering methods assume that seismic data consists of two parts, signal and random noise. That is, the so-called additive noise model. However, when estimating random noise, it is assumed that random noise can be predicted from the seismic data by convolving with a prediction error filter. That is, the source-noise model. Model inconsistencies, before and after denoising, compromise the noise attenuation and signal-preservation performances of prediction filtering methods. Therefore, this study presents an inversion-based time-space domain random noise attenuation method to overcome the model inconsistencies. In this method, a prediction error filter （PEF）, is first estimated from seismic data; the filter characterizes the predictability of the seismic data and adaptively describes the seismic data＇s space structure. After calculating PEF, it can be applied as a regularized constraint in the inversion process for seismic signal from noisy data. Unlike conventional random noise attenuation methods, the proposed method solves a seismic data inversion problem using regularization constraint; this overcomes the model inconsistency of the prediction filtering method. The proposed method was tested on both synthetic and real seismic data, and results from the prediction filtering method and the proposed method are compared. The testing demonstrated that the proposed method suppresses noise effectively and provides better signal-preservation performance.
基金Supported by the Science and Technology Program of Shanghai Maritime University under Grant No 20100086.
文摘We investigate Benford's law based on the 2003 version of atomic mass evaluation.It is demonstrated that the first non-zero digit distribution functions for a number of experimental quantities are in reasonable agreement with those predicted by Benford's law.The data that we investigate here include 3001 sets of Sp,3060 sets of Sn,2943 sets of two-neutron separation energies S_(2n),2826 sets of two-proton separation energies S_(2p),1643 sets ofβ^(+)-decay energies Q(β^(+)),1243 sets ofβ^(-)-decay energies Q(β^(-)),2595 sets of double,β^(-)-decay energies Q(ββ^(-)),and 2711 sets of energies in electron-capture proton processes Q(εp).The first non-zero digits of these data favor the smaller ones in a logarithmic pattern.
基金Supported by the Scientific Researcli Fund of Southeastem Universitypartially by the National Natural Science Foundation of ChinaDoctoral Education Fund of National Education Comniittee.
文摘By the enlightmenf of the anharmonic vibrator description for the yra.st bands of the even-even 38≤Z≤82 nuclei with 2.05≤R(=E_(4)_(1)+/E_(2)^(+)_(1))≤3.15,a similar regularity for the non-yrast bands is revealed.This systematics suggests that the excitations of the non-yrast bands may be regarded as the multi-phonon excitations above the corresponding bandhead,or the intrinsic states.
