The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Symbolic dynamic analysis of complex systems for anomaly detection
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Citations
Cites
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 1×
“Phase space reconstruction: Based on the Takens Embedding theorem [22], time lagged or delayed variables are used to construct the state vector x(n) in a phase space of dimension dE (which is diDeomorphically equivalent to the attractor of the original dynamical system) as follows:”
Method
Cited by
Karimipour, H., Dehghantanha, A., Parizi, R. M., Choo, K.-K. R., & Leung, H. (2019) · IEEE Access · doi:10.1109/access.2019.2920326 · Cited by 355
Symbolic time series analysis via wavelet-based partitioning
Rajagopalan, V., & Ray, A. (2006) · Signal Processing · doi:10.1016/j.sigpro.2006.01.014 · Cited by 267
Self-citationShen, J., Yang, M., Zou, B., Wan, N., & Liao, Y. (2012) · Complexity · doi:10.1002/cplx.21390 · Cited by 7
Metadata
- Authors
- Ray, A.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2004-07
- Volume
- 84
- Issue
- 7
- Pages
- 1115-1130
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2169739344
- Cited by
- 374
- References
- 1
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Symbolic dynamic analysis of complex systems for anomaly detection. https://app.cochat.ai/papers/10.1016/j.sigpro.2004.03.011
- The paper
- Ray, A. (2004). Symbolic dynamic analysis of complex systems for anomaly detection. Signal Processing. https://doi.org/10.1016/j.sigpro.2004.03.011
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.
