Title :
Time Delay Estimation: A New Insight Into the Woody´s Method
Author :
Cabasson, Aline ; Meste, Olivier
Author_Institution :
Lab. I3S, CNRS-Univ. of Nice-Sophia Antipolis, Sophia Antipolis
fDate :
6/30/1905 12:00:00 AM
Abstract :
This letter introduces a new insight into the Woody´s method, a well-known time delay estimator. Firstly, we show that this classical technique used to analyze a variable latency signal is suboptimal. Thereby, we present an improved version of the Woody´s method that formalizes and outperforms the previous one with an unknown signal using an iterative maximum likelihood estimator. Unlike recent approaches, the problem is expressed in the time domain in order to produce a general framework that allows the inclusion of some a priori information.
Keywords :
delay estimation; electrocardiography; iterative methods; maximum likelihood estimation; medical signal processing; Woody method; a priori information; bioelectrical signal processing; biomedical processing; electrocardiography; iterative maximum likelihood estimator; time delay estimation; time domain; variable latency signal; Biomedical signal processing; Delay effects; Delay estimation; Electrocardiography; Electromyography; Enterprise resource planning; Iterative methods; Maximum likelihood estimation; Shape; Signal analysis; Bioelectrical signal processing; electrocardiography (ECG); maximum likelihood estimation; time delay estimation;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2001558