The DOI matches its Crossref record.
ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noise
Abstract
The application of a subspace invariance approach (ESPRIT) to the estimation of parameters (frequencies and powers) of cisoids in noise is described. ESPRIT exploits an underlying rotational invariance of signal subspaces spanned by two temporally displaced data sets. The new approach has several advantages including improved resolution over Pisarenko's technique for harmonic retrieval.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
Hua, Y., & Sarkar, T. K. (1990) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.56027 · Cited by 1,537
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Wei, Z., Qu, H., Wang, Y., Yuan, X., Wu, H., Du, Y., Han, K., Zhang, N., & Feng, Z. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3235618 · Cited by 686
Subspace-based signal analysis using singular value decomposition
Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348
Song, Q., & Ou, Z. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3328814 · Cited by 9
FFT-Based Efficient Algorithms for Time Delay Estimation
Wu, R., Wang, W., & Ji, Q. (2012) · Fourier Transform - Signal Processing · doi:10.5772/36242 · Cited by 2
“Because of this, many well-known sinusoidal parameter estimation algorithms, such as MUSIC (Schmidt, 1986), ESPRIT (Roy et al., 1986), PRONY (Kay, 1988), are not directly applicable to our problem of interest.”
Method
Metadata
- Authors
- Roy, R., Paulraj, A., & Kailath, T.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1986-10
- Volume
- 34
- Issue
- 5
- Pages
- 1340-1342
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2033332370
- Cited by
- 1,088
- References
- 0
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noise. https://app.cochat.ai/papers/10.1109/tassp.1986.1164935
- The paper
- Roy, R., Paulraj, A., & Kailath, T. (1986). ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noise. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1986.1164935
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.