Document Detail


Signal recovery from autocorrelation and cross-correlation data.
MedLine Citation:
PMID:  15839268     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A signal recovery technique is motivated and derived for the recovery of several nonnegative signals from measurements of their autocorrelation and cross-correlation functions. The iterative technique is shown to preserve nonnegativity of the signal estimates and to produce a sequence of estimates whose correlations better approximate the measured correlations as the iterations proceed. The method is demonstrated on simulated data for active imaging with dual-frequency or dual-polarization illumination.
Authors:
Timothy J Schulz; David G Voelz
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Validation Studies    
Journal Detail:
Title:  Journal of the Optical Society of America. A, Optics, image science, and vision     Volume:  22     ISSN:  1084-7529     ISO Abbreviation:  J Opt Soc Am A Opt Image Sci Vis     Publication Date:  2005 Apr 
Date Detail:
Created Date:  2005-04-20     Completed Date:  2005-06-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9800943     Medline TA:  J Opt Soc Am A Opt Image Sci Vis     Country:  United States    
Other Details:
Languages:  eng     Pagination:  616-24     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Michigan 49931, USA. schulz@mtu.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Computer Simulation
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Information Storage and Retrieval / methods*
Models, Statistical
Pattern Recognition, Automated / methods*
Regression Analysis
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Statistics as Topic

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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