The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Signal detection by complex spatial filtering
Abstract
In the past, spatial filtering in coherent optical systems has been limited by the inability to realize practically a general complex filter. This paper describes a technique for realizing such a filter, and gives an application of spatial filtering to the problem of detecting isolated signals in a variety of noise backgrounds. The experimental results obtained to date indicate that this technique provides an excellent two-dimensional filtering capability that will play a key role in such problems as shape recognition and signal detection.
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Citations
Cites
Optical data processing and filtering systems
Cutrona, L. J., Leith, E., Palermo, C. J., & Porcello, L. J. (1960) · IEEE Transactions on Information Theory · doi:10.1109/tit.1960.1057566 · Cited by 331
O’Neill, E. L. (1956) · IEEE Transactions on Information Theory · doi:10.1109/tit.1956.1056785 · Cited by 134
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Savvides, M., Vijaya Kumar, B. V. K., & Khosla, P. K. (2004) · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · doi:10.1109/icpr.2004.1334679 · Cited by 273
Metadata
- Authors
- Lugt, A. V.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1964-04
- Volume
- 10
- Issue
- 2
- Pages
- 139-145
- ISSN
- 0018-9448 (ISSN-L)
- 1557-9654
- OpenAlex
- W2161376274
- Cited by
- 1,604
- References
- 2
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lugt, A. V. (1964). Signal detection by complex spatial filtering. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.1964.1053650
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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.