Multidimensional seismic data processing information
Multidimensional seismic data processing forms a major component of seismic profiling, a technique used in geophysical exploration. The technique itself has various applications, including mapping ocean floors, determining the structure of sediments, mapping subsurface currents and hydrocarbon exploration. Since geophysical data obtained in such techniques is a function of both space and time, multidimensional signal processing techniques may be better suited for processing such data.
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Multidimensionalseismicdataprocessing forms a major component of seismic profiling, a technique used in geophysical exploration. The technique itself...
In signal processing, multidimensional empirical mode decomposition (multidimensional EMD) is an extension of the one-dimensional (1-D) EMD algorithm...
the processing of multidimensional volumetric data, including video processing, seismic image processing, and medical image analysis. Some other advantages...
Array processing is a wide area of research in the field of signal processing that extends from the simplest form of 1 dimensional line arrays to 2 and...
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide...
In signal processing, multidimensional discrete convolution refers to the mathematical operation between two functions f and g on an n-dimensional lattice...
Dan E. Dudgeon, Russell M. Mersereau, “Multidimensional Digital Signal Processing”, Prentice-Hall Signal Processing Series, ISBN 0136049591,pp. 291-294,...
In digital signal processing, multidimensional sampling is the process of converting a function of a multidimensional variable into a discrete collection...
detection. A seismic array differs from a local network of seismic stations mainly by the techniques used for data analysis. The data from a seismic array is...
In signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is...
However, blind signal separation is now routinely performed on multidimensionaldata, such as images and tensors, which may involve no time dimension...
Hermitian wavelets. The Ricker wavelet is frequently employed to model seismicdata, and as a broad-spectrum source term in computational electrodynamics...
faint contacts, such as quiet, low noise-emitting submarine threats, or seismic signals. A towed array offers superior resolution and range compared with...
ultrasound imaging, computational photography, Synthetic Aperture Radar (SAR), seismic imaging etc. The integration of the sensing and the computation in computational...
signals, beam forming and direction finding in radars, Seismicdata estimation and processing, array of sensors and antennas and vibrational analysis...
Dan E. Dudgeon, Russell M. Mersereau, “Multidimensional Digital Signal Processing”, Prentice-Hall Signal Processing Series, ISBN 0136049591,pp. 291-294,...
S. (2008). Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing. Geophysical references. Society of Exploration Geophysicists...
diffusion-based image processing, and several other image processing problems. The structure tensor can be also applied in geology to filter seismicdata. The three-dimensional...
forming the normalized correlation matrices of the matrix equations of multidimensional stochastic objects. Journal of Automation and Information Sciences...
Equity Data Portal". World Bank. Archived from the original on 15 February 2015. Retrieved 6 June 2015. "25 Countries Halved Multidimensional Poverty...