2020 International Conference on Sensing, Measurement &Amp; Data Analytics in the Era of Artificial Intelligence (ICSMD) 2020
DOI: 10.1109/icsmd50554.2020.9261696
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Super-Resolution Imaging Using Very Deep Convolutional Network in Terahertz NDT Field

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Cited by 5 publications
(4 citation statements)
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“…SRT is a technique to simplify the maximum likelihood estimation problem by reducing the number of parameters in regression problems. In regression analysis, for an objective function l(x) with q independent variables, we define (1) , x (2) x…”
Section: Parameter Estimation With Ls Sequential Estimators and Srtmentioning
confidence: 99%
See 3 more Smart Citations
“…SRT is a technique to simplify the maximum likelihood estimation problem by reducing the number of parameters in regression problems. In regression analysis, for an objective function l(x) with q independent variables, we define (1) , x (2) x…”
Section: Parameter Estimation With Ls Sequential Estimators and Srtmentioning
confidence: 99%
“…Assume that x(2) x (1) is the maximum likelihood value of x (2) when x (1) is fixed. x(2) can be derived from ∂l(x)…”
Section: Parameter Estimation With Ls Sequential Estimators and Srtmentioning
confidence: 99%
See 2 more Smart Citations