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Use of Deconvolution to Infer Past Diet in Austria and the USSR
     Release time: 2018-01-26

 

 

Henri Pelkonen & Paul Cockshott

 

Abstract

Deconvolution is a technique commonly used in image processing. This study shows that it is possible to apply deconvolution to infer past nutritional levels if we know the recorded adult heights over a long time period. This study is a demonstration of how we can use deconvolution to investigate historical living standards. We apply it to investigating early Soviet and 18th to 19th century Austrian nutritional levels.

 

Keywords

Deconvolution, Richardson–Lucy Algorithm, Nutritional Levels, Food Estimate Modelling, Austria Diet, Human Growth, USSR, Austria

 

From: Critiquer 2017 45 (1-2)

Editor: Wang Yi

 

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