Hopping Time Estimation of Frequency-Hopping Signals Based on HMM-Enhanced Bayesian Compressive Sensing With Missing Observations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3184173
Abstract: The hopping time reflects the time-varying characteristics of frequency-hopping (FH) signals, which are essential parameters for the spectrum estimation of FH signals. In this study, we address the problem of estimating the hopping time of… read more here.
Keywords: time; hopping time; frequency; missing observations ... See more keywords
Optimal Estimation With Missing Observations via Balanced Time-Symmetric Stochastic Models
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2689685
Abstract: We consider data fusion for the purpose of smoothing and interpolation based on observation records with missing data. Stochastic processes are generated by linear stochastic models. The paper begins by drawing a connection between time… read more here.
Keywords: missing observations; time; estimation missing; observations via ... See more keywords
Erratum to: What impact do assumptions about missing data have on conclusions? a practical sensitivity analysis for a cancer survival registry
Sign Up to like & getrecommendations! Published in 2017 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-017-0323-7
Abstract: Background: Within epidemiological and clinical research, missing data are a common issue and often over looked in publications. When the issue of missing observations is addressed it is usually assumed that the missing data are… read more here.
Keywords: cancer; missing data; missing observations; sensitivity analysis ... See more keywords