DocumentCode
2624589
Title
Approximate ML-estimates of random processes
Author
Vajda, Igor
Author_Institution
Inst. of Inf. Theory & Autom., Acad. of Sci., Prague, Czech Republic
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
436
Abstract
Computationally feasible versions of maximum likelihood estimations (MLEs), called approximate MLEs (AMLEs), are introduced. Estimation models with all, some, or no AMLEs consistent are presented
Keywords
maximum likelihood estimation; random processes; signal detection; approximate MLE; approximate maximum likelihood estimation; computationally feasible versions; estimation models; maximum likelihood estimation; random processes; Additive noise; Automation; Chromium; Entropy; Information theory; Light rail systems; Maximum likelihood estimation; Random processes; Statistics; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.395051
Filename
395051
Link To Document