Exact risk analysis of wavelet spectrum thresholding rules

Exact risk analysis of wavelet spectrum thresholding rules

The signal analysis and processing based on wavelets has recently been a much used discipline, whose range of applications spreads steadily. One of its most important applications is signal denoising. In this area, the so-called thresholding is an important technique of signal processing. Besides co...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Rajmic, P.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Additive noise
Communications technology
Discrete wavelet transforms
Noise reduction
Risk analysis
Signal analysis
Signal denoising
Wavelet analysis
Wavelet coefficients
Wavelet transforms
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The signal analysis and processing based on wavelets has recently been a much used discipline, whose range of applications spreads steadily. One of its most important applications is signal denoising. In this area, the so-called thresholding is an important technique of signal processing. Besides common thresholding rules, several others has been developed. Their statistical properties obtained via so-called exact risk analysis are described in this paper.
DOI:10.1109/ICECS.2003.1301820