5 results about "Morphological component analysis" patented technology

The invention belongs to the technical field of petroleum seismic exploration, and provides an exogenous interference suppression method based on background noise recognition and a related device, and the method comprises the steps: carrying out the first arrival time pickup of original single-shot data obtained through seismic collection, and dividing the single-shot data into a background noise region and a signal + noise mixed region according to the picked first arrival time; identifying seismic traces containing external interference in the background noise area according to the energy difference; in a signal + noise mixing area, for the identified seismic trace containing the external interference, sparse representation is carried out on seismic data through a morphological component analysis method (Q wavelet transform and cosine transform); the sparse distribution coefficient is screened by using the characteristic difference between the effective signal and the external interference, and gradual decomposition of the effective signal and the external interference is realized through an iteration mode; and reconstructing the screened Q wavelet coefficient to obtain a shot gather record after exogenous interference suppression. Compared with a conventional denoising method which only utilizes apparent velocity, frequency and energy differences, the method can more accurately realize separation of external interference and effective reflected waves, and the external interference suppression effect is better.

The invention discloses an underground pipeline scattered wave separation imaging method and system and a medium, and relates to the cross technical field of geophysical exploration and digital signal processing, and the method comprises the steps: obtaining and preprocessing original seismic data, taking an obtained two-dimensional time-space domain seismic record as an input, and constructing a scattered wave sparse dictionary based on discrete shear wave transformation; establishing an objective function based on morphological component analysis, performing iterative solution by using a block coordinate relaxation algorithm, and alternately updating a scattering wave sparse coefficient and an interference wave sparse coefficient until a convergence condition is met; reconstructing a pure scattered wave field through shear wave inverse transformation according to the finally obtained scattered wave sparse coefficient; performing migration imaging on the pure scattered wave field to obtain a spatial position image of the underground pipeline; according to the separation imaging method, a complete pipeline scattering form can be identified and captured under a strong noise background.

The invention discloses a form component analysis seismic abnormal amplitude suppression method and device based on pattern recognition and a storage medium, and belongs to the technical field of oil exploration seismic data processing. According to the seismic abnormal amplitude suppression method based on morphological component analysis of pattern recognition provided by the invention, a proper sparse dictionary is found for seismic data containing abnormal amplitude by using a morphological component analysis technology, so that the coefficient of the seismic data in the dictionary is sparse; separating the seismic data into different signal components, namely effective signals and noise (abnormal amplitude) according to the difference between the seismic data by using a signal separation theory, calculating the similarity between the background record containing the abnormal amplitude and the separated noise through pattern recognition, and determining the reliability and suppression degree of the separated abnormal amplitude, so as to achieve the purpose of noise suppression. Finally, large-range and strong-energy abnormal amplitude of seismic data can be effectively suppressed, and effective reflection signals can be protected to the greatest extent. The method is suitable for suppressing large-area and strong-energy seismic abnormal amplitude, the signal-to-noise ratio of seismic data can be effectively improved, and the processing precision of the seismic data is improved.

The invention belongs to the technical field of medical data processing, and particularly relates to a heart failure animal model multi-source physiological data fusion analysis method which comprises the following steps: acquiring an original arterial pressure digital signal sequence and cardiac ultrasound morphological parameters of a to-be-detected object; stripping the smooth trend component by using a morphological component analysis algorithm to obtain a pure arterial pressure sequence; mapping the pure arterial pressure sequence into a high-dimensional phase space trajectory and calculating a pressure dissipation entropy; fusing the left ventricular structure parameters, the late diastole flow velocity and the pressure dissipation entropy to construct an impedance mismatch coupling operator; and constructing a calibration function by using the impedance mismatch coupling operator to perform reverse compensation on an original ratio, and outputting an effective hemodynamic ratio. According to the method, the shielding effect of physiological compensation noise can be eliminated, false data normalization is avoided, and the real hemodynamic state of the to-be-detected object is restored.