Maximum A Posteriori Bayesian Estimation of Chromatographic Parameters by Limited Number of Experiments

2015 ◽  
Vol 87 (14) ◽  
pp. 7241-7249 ◽  
Author(s):  
Paweł Wiczling ◽  
Łukasz Kubik ◽  
Roman Kaliszan
2004 ◽  
Vol 57 (6) ◽  
pp. 764-772 ◽  
Author(s):  
Lorraine D. Ralph ◽  
Alison H. Thomson ◽  
Nicola A. Dobbs ◽  
Chris Twelves

2002 ◽  
Vol 41 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Fr??d??ric Leger ◽  
Jean Debord ◽  
Yann Le Meur ◽  
Annick Rousseau ◽  
Mathias B??chler ◽  
...  

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 240
Author(s):  
Muhammad Umar Farooq ◽  
Alexandre Graell i Amat ◽  
Michael Lentmaier

In this paper, we perform a belief propagation (BP) decoding threshold analysis of spatially coupled (SC) turbo-like codes (TCs) (SC-TCs) on the additive white Gaussian noise (AWGN) channel. We review Monte-Carlo density evolution (MC-DE) and efficient prediction methods, which determine the BP thresholds of SC-TCs over the AWGN channel. We demonstrate that instead of performing time-consuming MC-DE computations, the BP threshold of SC-TCs over the AWGN channel can be predicted very efficiently from their binary erasure channel (BEC) thresholds. From threshold results, we conjecture that the similarity of MC-DE and predicted thresholds is related to the threshold saturation capability as well as capacity-approaching maximum a posteriori (MAP) performance of an SC-TC ensemble.


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