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]
Citations
Cites
Coherence and time delay estimation
Carter, G. C. (1987) · Proceedings of the IEEE · doi:10.1109/proc.1987.13723 · Cited by 1,221
Crosscorrelation functions of amplitude-distorted gaussian signals
Bussgang, J. (1952) · Cited by 716
Average magnitude difference function pitch extractor
Ross, M., Shaffer, H. L., Cohen, A., Freudberg, R. L., & Manley, H. (1974) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1974.1162598 · Cited by 491
Time delay estimation via cross-correlation in the presence of large estimation errors
Ianniello, J. (1982) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1982.1163992 · Cited by 268
Analysis of discrete implementation of generalized cross correlator
Boucher, R., & Hassab, J. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1981.1163623 · Cited by 111
On the determination of the position of extrema of sampled correlators
Moddemeijer, R. (1991) · IEEE Transactions on Signal Processing · doi:10.1109/78.80788 · Cited by 87
Comparison of various time delay estimation methods by computer simulation
Fertner, A., & Sjölund, A. (1986) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1986.1164930 · Cited by 76
On a fast digital method of estimating the autocorrelation of a gaussian stationary process
Jacovitti, G., Neri, A., & Cusani, R. (1984) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1984.1164439 · Cited by 27
Self-citationPerformance of fast time delay estimators
Cusani, R. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.17568 · Cited by 19
An efficient technique for high correlation estimation
Jacovitti, G., & Cusani, R. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165195 · Cited by 15
Self-citationPerformances of the hybrid-sign correlation coefficient estimator for Gaussian stationary processes
Jacovitti, G., & Cusani, R. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164614 · Cited by 10
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Research works printed but not linked: 1
- 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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Loupas, T., Powers, J., & Gill, R. W. (1995) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/58.393110 · Cited by 574
Yang, J., Chen, J., Liu, Y., Yang, W., Su, Y., & Wang, Z. L. (2014) · ACS Nano · doi:10.1021/nn4063616 · Cited by 488
A fast normalized cross-correlation calculation method for motion estimation
Luo, J., & Konofagou, E. E. (2010) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2010.1554 · Cited by 385
Time Delay Estimation in Room Acoustic Environments: An Overview
Chen, J., Benesty, J., & Huang, Y. (2006) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/asp/2006/26503 · Cited by 370
Fundamental Performance Limits in Image Registration
Robinson, D., & Milanfar, P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.832923 · Cited by 211
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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