Novel ISAR autofocusing method based on Bayesian inference
نویسندگان
چکیده
منابع مشابه
A One-Stage Two-Machine Replacement Strategy Based on the Bayesian Inference Method
In this research, we consider an application of the Bayesian Inferences in machine replacement problem. The application is concerned with the time to replace two machines producing a specific product; each machine doing a special operation on the product when there are manufacturing defects because of failures. A common practice for this kind of problem is to fit a single distribution to the co...
متن کاملImplementation of Traditional (S-R)-Based PM Method with Bayesian Inference
In order to perform Preventive Maintenance (PM), two approaches have evolved in the literature. The traditional approach is based on the use of statistical and reliability analysis of equipment failure. Under statistical-reliability (S-R)-based PM, the objective of achieving the minimum total cost is pursued by establishing fixed PM intervals, which are statistically optimal, at which to replac...
متن کاملimplementation of traditional (s-r)-based pm method with bayesian inference
in order to perform preventive maintenance (pm), two approaches have evolved in the literature. the traditional approach is based on the use of statistical and reliability analysis of equipment failure. under statistical-reliability (s-r)-based pm, the objective of achieving the minimum total cost is pursued by establishing fixed pm intervals, which are statistically optimal, at which to replac...
متن کاملComparison of two QTL mapping approaches based on Bayesian inference using high-dense SNPs markers
To compare different QTL mapping methods, a population with genotypic and phenotypic data was simulated. In Bayesian approach, all information of markers can be used along with combination of distributions of SNP markers. It is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. The simulated population included a basic population of ...
متن کاملMorphological Tagging Based Entirely on Bayesian Inference
The influence of various information sources on the ability of a statistical tagger to assign lexical categories to unknown words is investigated. The literal word form is found to be very much more important than other information sources such as the local syntactic context. Different ways of combining information sources are discussed. Methods for improving estimates based on scarce data are ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2019.0342