Title :
Combining statistical information in set theoretic estimation
Author :
Combettes, Patrick L. ; Chaussalet, Thierry J.
Author_Institution :
Dept. of Electr. Eng., City Univ. of New York, NY, USA
fDate :
3/1/1996 12:00:00 AM
Abstract :
Statistical information has been used extensively to define feasible solutions in set theoretic signal processing. However, the reliability of the set theoretic estimates resulting from the combination of multiple statistical constraints has thus far not been investigated. We address this question in order to provide a basis for a better use of statistical information in set theoretic estimation problems.
Keywords :
estimation theory; set theory; signal processing; statistical analysis; multiple statistical constraints; set theoretic estimation; set theoretic signal processing; statistical information; Constraint theory; Estimation theory; Image processing; Probability; Random processes; Reliability theory; Signal processing; State estimation; Statistical analysis; Testing;
Journal_Title :
Signal Processing Letters, IEEE
