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An Introduction to the Theory of Random Signals and Noise
Abstract
This "bible" of a whole generation of communications engineers was originally published in 1958. The focus is on the statistical theory underlying the study of signals and noises in communications systems, emphasizing techniques as well s results. End of chapter problems are provided. Sponsored by: IEEE Communications Society
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Cited by
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Turin, G. (1960) · IEEE Transactions on Information Theory · doi:10.1109/tit.1960.1057571 · Cited by 1,254
Sampling and reconstruction of wave-number-limited functions in N-dimensional euclidean spaces
Petersen, D. P., & Middleton, D. (1962) · Information and Control · doi:10.1016/s0019-9958(62)90633-2 · Cited by 614
A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
Rahman, S., & Xu, H. (2004) · Probabilistic Engineering Mechanics · doi:10.1016/j.probengmech.2004.04.003 · Cited by 567
The Quantum Theory of Optical Communications
Shapiro, J. H. (2009) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2009.2024959 · Cited by 145
Metadata
- Authors
- Davenport, W. B., & Root, W. L.
- Venue
- Institute of Electrical and Electronics Engineers eBooks
- Publisher
- IEEE
- Published
- 1987
- OpenAlex
- W4205447762
- Cited by
- 1,452
- References
- 0
- FWCI
- 52.50
- Type
- book
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: An Introduction to the Theory of Random Signals and Noise. https://app.cochat.ai/papers/10.1109/9780470544143
- The paper
- Davenport, W. B., & Root, W. L. (1987). An Introduction to the Theory of Random Signals and Noise. Institute of Electrical and Electronics Engineers eBooks. https://doi.org/10.1109/9780470544143
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.
