Fast empirical mode decompositions of multivariate data based on adaptive spline-wavelets and a generalization of the Hilbert-Huang-Transformation (HHT) to arbitrary space dimensions

Advances in Adaptive Data Analysis

Volumn 2, Issue 3, 2010, Pages 337-358

  Pabel, Roland ^a   Koch, Robin ^a   Jager, Gabriela ^a   Kunoth, Angela ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

adaptive wavelet nD EMD; arbitrary space dimension; Clifford algebra; empirical mode decomposition (EMD); Hilbert Huang Transform (HHT); intrinsic mode functions (IMFs); monogenic function; Multivariate data analysis; Riesz transform; tensor product spline wavelets

Indexed keywords

ADAPTIVE WAVELET-ND-EMD; ARBITRARY SPACES; CLIFFORD ALGEBRA; EMPIRICAL MODE DECOMPOSITION; HILBERT-HUANG- TRANSFORM (HHT); INTRINSIC MODE FUNCTIONS; MONOGENIC FUNCTION; MULTIVARIATE DATA ANALYSIS; RIESZ TRANSFORM; TENSOR PRODUCT SPLINE WAVELETS;

ALGEBRA; DATA REDUCTION; DECOMPOSITION; MULTIVARIANT ANALYSIS; NUMERICAL METHODS; SIGNAL PROCESSING; SPECTROSCOPY; SPLINES; TENSORS; TIME SERIES; TIME SERIES ANALYSIS; WAVELET TRANSFORMS;

METADATA;

EID: 79960155979     PISSN: 17935369     EISSN: 17937175     Source Type: Journal    
DOI: 10.1142/S1793536910000513     Document Type: Article

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