A scale-space approach with wavelets to singularity estimation

DOI10.1051/ps:2005007zbMath1136.62030OpenAlexW2003407084MaRDI QIDQ4671825

Jérémie Bigot

Publication date: 26 April 2005

Published in: ESAIM: Probability and Statistics (Search for Journal in Brave)

Full work available at URL: http://www.numdam.org/item?id=PS_2005__9__143_0

zbMATH Keywords

feature extractioncontinuous wavelet transformbaggingnon parametric estimationwavelet maximazero-crossingsscale-space representationlandmark-based matchingLipschitz singularity

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Numerical methods for wavelets (65T60)

Related Items (4)

Non parametric estimation of the structural expectation of a stochastic increasing function ⋮ Modified structural intensity for singularity localization in noisy signals: Application to coherent averaging for event‐synchronous ECG interference cancellation in diaphragmatic EMG signals ⋮ Singularity estimation via structural intensity: applications and modifications ⋮ Local comparison of empirical distributions via nonparametric regression

Uses Software

• fda (R)
• reccv
• SiZer

Cites Work

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