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- Gradient_pattern_analysis abstract "Gradient pattern analysis (GPA) is a geometric computing method for characterizing geometrical bilateral symmetry breaking of an ensemble of symmetric vectors regularly distributed in a square lattice. Usually, the lattice of vectors represent the first-order gradient of a scalar field, here an M x M square amplitude matrix. An important property of the gradient representation is the following: A given M x M matrix where all amplitudes are different results in an M x M gradient lattice containing asymmetric vectors. As each vector can be characterized by its norm and phase, variations in the amplitudes can modify the respective gradient pattern. The original concept of GPA was introduced by Rosa, Sharma and Valdivia in 1999. Usually GPA is applied for spatio-temporal pattern analysis in physics and environmental sciences operating on time-series and digital images.".
- Gradient_pattern_analysis wikiPageExternalLink EAA.2023.pdf.
- Gradient_pattern_analysis wikiPageExternalLink gpaplusplus.
- Gradient_pattern_analysis wikiPageID "22130202".
- Gradient_pattern_analysis wikiPageRevisionID "602119953".
- Gradient_pattern_analysis hasPhotoCollection Gradient_pattern_analysis.
- Gradient_pattern_analysis subject Category:Geometric_algorithms.
- Gradient_pattern_analysis subject Category:Signal_processing.
- Gradient_pattern_analysis comment "Gradient pattern analysis (GPA) is a geometric computing method for characterizing geometrical bilateral symmetry breaking of an ensemble of symmetric vectors regularly distributed in a square lattice. Usually, the lattice of vectors represent the first-order gradient of a scalar field, here an M x M square amplitude matrix.".
- Gradient_pattern_analysis label "Gradient pattern analysis".
- Gradient_pattern_analysis sameAs m.05p84tb.
- Gradient_pattern_analysis sameAs Q5591917.
- Gradient_pattern_analysis sameAs Q5591917.
- Gradient_pattern_analysis wasDerivedFrom Gradient_pattern_analysis?oldid=602119953.
- Gradient_pattern_analysis isPrimaryTopicOf Gradient_pattern_analysis.