MULTIRESOLUTION SIGNAL DECOMPOSITION AND APPROXIMATION BASED ON SUPPORT VECTOR MACHINES

DOI10.1142/S0219691308002513zbMath1157.94318OpenAlexW2122173098MaRDI QIDQ3618913

Bin Fang, Zhaowei Shang, Yat Zhou Ong, Jing Wen, Yuan Yan Tang

Publication date: 3 April 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/s0219691308002513

zbMATH Keywords

multiresolution analysisreproducing kernelsupport vector machinesnon-stationary signalssignal approximation

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Application of orthogonal and other special functions (94A11)

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A WAVELET METHOD COUPLED WITH QUASI-SELF-SIMILAR STOCHASTIC PROCESSES FOR TIME SERIES APPROXIMATION ⋮ FEATURE EXTRACTION OF SEWER PIPE DEFECTS USING WAVELET TRANSFORM AND CO-OCCURRENCE MATRIX ⋮ IMAGE DENOISING BASED ON THE DYADIC WAVELET TRANSFORM AND IMPROVED THRESHOLD ⋮ MODEL SELECTION OF C-SUPPORT VECTOR MACHINES BASED ON MULTI-THREADING GENETIC ALGORITHM ⋮ Multiple sub-hyper-spheres support vector machine for multi-class classification

Cites Work

• Unnamed Item
• Unnamed Item
• TUNING SVM PARAMETERS FOR CLASSIFYING GEOGRAPHICAL ORIGINS OF CHINESE MEDICAL HERBS
• Ideal spatial adaptation by wavelet shrinkage
• De-noising by soft-thresholding
• Nonparametric decentralized detection using kernel methods

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