Title :
Reconstruction of Finite Signal Derivatives From Multiscale Extrema Representations: Application to Transient Estimation and Signal Approximation
Author :
Meignen, Sylvain ; Guméry, Pierre-Yves
Author_Institution :
LMC-IMAG Lab., Grenoble Univ.
fDate :
4/1/2007 12:00:00 AM
Abstract :
In this correspondence, we propose a novel approach to the reconstruction of finite signal derivatives from the extrema of a multiscale representation, first introduced by Berkner. We show that this reconstruction procedure naturally leads to the definition of a signal characteristic scale. We also focus on signal approximation from the multiscale extrema representation of one of its derivatives. Numerical applications involve the use of the signal characteristic scale for transient estimation and also the study of the new signal approximation method we propose
Keywords :
approximation theory; signal reconstruction; signal representation; finite signal derivatives reconstruction; multiscale extrema representations; reconstruction procedure; signal approximation; Approximation methods; Continuous wavelet transforms; Discrete wavelet transforms; Image reconstruction; Image sampling; Minimization methods; Reconstruction algorithms; Sampling methods; Spline; Wavelet transforms; Berkner decomposition; multiscale extrema representation; signal approximation; transient estimation;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.887570