Journal article
Statistical deconvolution
Journal of the Franklin Institute, v 302(2), pp 147-157
1976
Abstract
The Statistical Deconvolution Algorithm (SDA) is a technique for deconvolving two signals with only weak a priori knowledge about either of them. A statistical description of one signal and the assumption that the other signal is deterministic and minimum phase is required. The SDA is presented as part of a framework within which other formulations of the deconvolution problem can be subsumed.
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Details
- Title
- Statistical deconvolution
- Creators
- Bruce A. Eisenstein - Drexel UniversityLouis R. Cerrato - Frankford Arsenal Philadelphia, Pennsylvania USA U.S.A
- Publication Details
- Journal of the Franklin Institute, v 302(2), pp 147-157
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1976CL52200002
- Scopus ID
- 2-s2.0-0016990218
- Other Identifier
- 991019174057904721