Abstract. This article first briefly introduces the characteristic of the wavelets transform ,explains the concrete operations process that the conjugate gradient method restructuring signal, then narrates in detail the modulus maximum value de-noising's algorithm, finally using the dyadic wavelet transform modulus maximum value de-noising method respectively carries the processing on the synthesis and noisy signal and the actual seismic signal, the experimental result indicates that this algorithm makes the good progress, the seismic data quality is enhanced greatly
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shr...
In this paper, the principle of denoising with wavelet transform are discussed. The application of w...
The wavelet comprehensive threshold is used to inherit and develop the advantages of hard threshold ...
Seismic data processing is an important aspect to improve the signal to noise ratio. The main work o...
Soft thresholding method is a standard procedure in signal de-noising. Theoretically, it is also alm...
Previous studies indicated that the seismic breathing normal modes S-0(0) (period similar to 20.5 mi...
This paper proposes a new method to improve the resolution of the seismic signal and to compensate t...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
In seismic exploration, random noise deteriorates the quality of acquired data. This study analyzed ...
The delimitation of the very fines lithologies from seismic data is a crucial problem in geophysics,...
Seismologists working on the reflection of seismic data have been dealing with noise and trying to a...
Determining shear wave velocity is a critical technique in bender element tests, as it can be readil...
Seismologists working on the reflection of seismic data have been dealing with noise and trying to a...
We introduce a nondiagonal seismic denoising method based on the continuous wavelet transform with h...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shr...
In this paper, the principle of denoising with wavelet transform are discussed. The application of w...
The wavelet comprehensive threshold is used to inherit and develop the advantages of hard threshold ...
Seismic data processing is an important aspect to improve the signal to noise ratio. The main work o...
Soft thresholding method is a standard procedure in signal de-noising. Theoretically, it is also alm...
Previous studies indicated that the seismic breathing normal modes S-0(0) (period similar to 20.5 mi...
This paper proposes a new method to improve the resolution of the seismic signal and to compensate t...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
In seismic exploration, random noise deteriorates the quality of acquired data. This study analyzed ...
The delimitation of the very fines lithologies from seismic data is a crucial problem in geophysics,...
Seismologists working on the reflection of seismic data have been dealing with noise and trying to a...
Determining shear wave velocity is a critical technique in bender element tests, as it can be readil...
Seismologists working on the reflection of seismic data have been dealing with noise and trying to a...
We introduce a nondiagonal seismic denoising method based on the continuous wavelet transform with h...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shr...
In this paper, the principle of denoising with wavelet transform are discussed. The application of w...