WAVELET PACKET DECOMPOSITION FOR THE IDENTIFICATION OF CORROSION TYPE FROM ACOUSTIC EMISSION SIGNALS

DOI10.1142/S0219691309003069zbMath1178.94165OpenAlexW2010892572MaRDI QIDQ3397626

Marc M. Van Hulle, Gert Van Dijck, Martine Wevers

Publication date: 22 September 2009

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691309003069

zbMATH Keywords

waveletspattern recognitioninformation theory

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Numerical methods for wavelets (65T60) Information theory (general) (94A15)

Related Items (3)

STRONGLY SINGULAR CONVOLUTION OPERATORS ON MODULATION SPACES ⋮ Joint Markov blankets in feature sets extracted from wavelet packet decompositions ⋮ THE DESIGN OF COMPLEX WAVELET PACKET TRANSFORMS BASED ON PERFECT TRANSLATION INVARIANCE THEOREMS

Cites Work

• Applied mathematics meets signal processing.
• Discriminant feature extraction using empirical probability density estimation and a local basis library
• A theory for multiresolution signal decomposition: the wavelet representation
• MONITORING MACHINING PROCESSES BASED ON DISCRETE WAVELET TRANSFORM AND STATISTICAL PROCESS CONTROL
• COMPARATIVE STUDY OF WAVELET BASED NEURAL NETWORK AND NEURO-FUZZY SYSTEMS
• Elements of Information Theory

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