The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Discrete time techniques for time delay estimation
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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“Since its mathematical expectation is shown to be band limited and present a symmetric peak around the true time delay, the estimated crosscorrelation function can be approximated by a concave parabola in the neighborhood of its maximum [40, 63, 64].”
From Time Delay Estimation in Room Acoustic Environments: An Overview (2006) · cites this paper as [40]
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Metadata
- Authors
- Jacovitti, G., & Scarano, G.
- Affiliations
- Sapienza University of Rome (IT)
- ORCID
- Scarano, G.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1993
- Volume
- 41
- Issue
- 2
- Pages
- 525-533
- ISSN
- 1053-587X (ISSN-L)
- 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
- 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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