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Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications
Open accessAbstract
A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The original work was circulated as a classified memorandum in 1942, because it was connected with sensitive wartime efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time-series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter."
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Citations
Cited by
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., AlMazroa, M. A., Amann, M., Anderson, H. R., Andrews, K. G., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61766-8 · Cited by 11,805
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
Variational Mode Decomposition
Dragomiretskiy, K., & Zosso, D. (2014) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2288675 · Cited by 9,184
Adaptive noise cancelling: Principles and applications
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Eugene Dong, Jr., & Goodlin, R. C. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10036 · Cited by 3,939
Metadata
- Authors
- Wiener, N.
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 1949-08-15
- OpenAlex
- W1510355813
- Cited by
- 4,826
- References
- 0
- FWCI
- 40.18
- Type
- book
- Language
- en
- Open access
- hybrid
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- Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications. The MIT Press eBooks. https://doi.org/10.7551/mitpress/2946.001.0001
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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.
