Cited by 433Advanced Adaptive Filtering TechniquesAdvanced Signal Processing TechniquesSpeech and Audio Processing

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Discrete time techniques for time delay estimation

Jacovitti, G., Scarano, G.·1993·IEEE Transactions on Signal Processing

DOI 10.1109/78.193195

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Abstract

Basic aspects of time delay estimation (TDE) based on sampled signals are investigated. The direct cross-correlation method is analyzed and compared to the average square difference function (ASDF) and the (addition only based) average magnitude difference function (AMDF) estimators, Their relative accuracy is theoretically evaluated, and previous empirical results are explained. It is shown that both the ASDF- and the AMDF-based estimators outperform the direct cross-correlation based estimator for medium-high signal-to-noise ratios. Moreover, the AMDF-based estimator, which avoids any multiplications, significantly reduces the computational complexity of the estimation procedure while offering only a moderate performance loss with respect to the ASDF based estimator.>

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jacovitti, 1989, On the delay time measurement by the average magnitude difference function, Proc Twelfth GRETSI Symp Signal and Image Processing, 145

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Self-citation

Authors: Jacovitti, G., & Scarano, G.
Affiliations: Sapienza University of Rome (IT)
ORCID: Scarano, G.
Venue: IEEE Transactions on Signal Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 1993
Volume: 41
Issue: 2
Pages: 525-533
ISSN: 1053-587X (ISSN-L)
DOI: 10.1109/78.193195
OpenAlex: W2148886336
Cited by: 433
References: 11
Citations by year: 2026: 6 · 2025: 15 · 2024: 5 · 2023: 17 · 2022: 8 · 2021: 15 · 2020: 17 · 2019: 21 · 2018: 22 · 2017: 20 · 2016: 21 · 2015: 29 · 2014: 30 · 2013: 23 · 2012: 14
FWCI: 5.20
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Signal Processing (publishedVersion)
IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics: Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Signal Processing Techniques
Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
Keywords: time delay estimation, discrete-time signal processing, sampled signals, cross correlation function, average magnitude difference function, estimator accuracy, computational complexity, signal-to-noise ratio

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Discrete time techniques for time delay estimation

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