The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Time-Frequency Signal Analysis and Processing
Abstract
Chapter 14: (t,f) Methods in radar, sonar, and acousticsChapter 15: (t,f) Diagnosis and monitoring; Chapter 16: Biomedical TFSP; Chapter 17: Getting started with the TFSAP software package; I.4 Conclusions and Advice to the Reader; I.5 Additional Exercises; References; Chapter 1: Time-Frequency and Instantaneous Frequency Concepts0; Introduction and Overview; 1.1 The Benefits of Time-Frequency Distributions (TFDs); 1.1.1 Representation of Three Real-Life Signals; 1.1.2 Time-Domain Representation; 1.1.3 Spectral Characteristics of Typical signals; 1.1.4 Joint Time-Frequency Representation
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
Cites
On the Quantum Correction For Thermodynamic Equilibrium
Wigner, E. (1932) · Physical Review · doi:10.1103/physrev.40.749 · Cited by 9,283
Some features of time-frequency representations of multicomponent signals
Flandrin, P. (2005) · ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1984.1172741 · Cited by 239
Cited by
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Shao, S., McAleer, S., Yan, R., & Baldi, P. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2864759 · Cited by 1,635
A deep learning approach for fault diagnosis of induction motors in manufacturing
Shao, S.-Y., Sun, W.-J., Yan, R.-Q., Wang, P., & Gao, R. X. (2017) · Chinese Journal of Mechanical Engineering · doi:10.1007/s10033-017-0189-y · Cited by 167
Time-frequency analysis of normal and abnormal biological signals
Mahmoud, S. S., Hussain, Z. M., Cosic, I., & Fang, Q. (2006) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2006.02.001 · Cited by 50
Automatic Crack Classification by Exploiting Statistical Event Descriptors for Deep Learning
Siracusano, G., Garescì, F., Finocchio, G., Tomasello, R., Lamonaca, F., Scuro, C., Carpentieri, M., Chiappini, M., & La Corte, A. (2021) · Applied Sciences · doi:10.3390/app112412059 · Cited by 39
Domingos, L. C. F., Santos, P. E., Skelton, P. S. M., Brinkworth, R. S. A., & Sammut, K. (2022) · IEEE Access · doi:10.1109/access.2022.3220265 · Cited by 37
Metadata
- Publisher
- Elsevier
- Published
- 2016
- OpenAlex
- W1861537833
- Cited by
- 1,340
- References
- 2
- Type
- other
- 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: Time-Frequency Signal Analysis and Processing. https://app.cochat.ai/papers/10.1016/c2012-0-00024-5
- The paper
- Time-Frequency Signal Analysis and Processing. (2016). https://doi.org/10.1016/c2012-0-00024-5
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.
