The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Blind deconvolution through digital signal processing
Abstract
This paper addresses the problem of deconvolving two signals when both are unknown. The authors call this problem blind deconvolution. The discussion develops two related solutions which can be applied through digital signal processing in certain practical cases. The case of reverberated and resonated sound forms the center of the development. The specific problem of restoring old acoustic recordings provides an experimental test. The important effects of noise and non-stationary signals lead to the detailed part of the presentation. In addition, the paper presents results for the case of images degraded by some common forms of blur.
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Citations
Cites
Speech Analysis Synthesis and Perception
Flanagan, J. L. (1972) · doi:10.1007/978-3-662-01562-9 · Cited by 1,469
Cited by
The cepstrum: A guide to processing
Childers, D. G., Skinner, D. P., & Kemerait, R. C. (1977) · Proceedings of the IEEE · doi:10.1109/proc.1977.10747 · Cited by 600
Blind Motion Deblurring Using Image Statistics
Levin, A. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0110 · Cited by 396
Introduction to Digital Speech Processing
Rabiner, L. R., & Schafer, R. W. (2007) · Foundations and Trends® in Signal Processing · doi:10.1561/2000000001 · Cited by 319
Wang, X., Qin, X., Zhu, T., Wang, C., Zhang, S., & Li, M. (2021) · 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge · doi:10.21437/asvspoof.2021-3 · Cited by 27
Metadata
- Authors
- Stockham, T. G., Cannon, T. M., & Ingebretsen, R. B.
- Venue
- Proceedings of the IEEE
- Published
- 1975
- Volume
- 63
- Issue
- 4
- Pages
- 678-692
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2143570353
- Cited by
- 341
- References
- 1
- FWCI
- 12.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Blind deconvolution through digital signal processing. https://app.cochat.ai/papers/10.1109/proc.1975.9800
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- Stockham, T. G., Cannon, T. M., & Ingebretsen, R. B. (1975). Blind deconvolution through digital signal processing. Proceedings of the IEEE. https://doi.org/10.1109/proc.1975.9800
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
