Comparison of least-squares method and Bayes' theorem for deconvolution of mixture composition

Chemical Engineering Science

Volumn 57, Issue 13, 2002, Pages 2371-2379

  Langston, Paul A ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Bayes' theorem; Instrumentation; Mathematical; Mixture composition; Modelling; Particle

Indexed keywords

ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; PROBABILITY; SPECTRUM ANALYSIS;

DECONVOLUTION; PROBABILITY APPORTIONING METHODS (PAM);

COMPOSITION;

MIXTURE;

EID: 0037135367     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0009-2509(02)00133-1     Document Type: Article

References (9)

1. Particle and droplet size analysis from chord measurements using Bayes' theorem
2. Non-spherical 2-dimensional particle size analysis from chord measurements using Bayes' theorem
3. Deconvolution of Petrographic data from blended coals using Bayes' theorem
4. Particle size determination from spectral extinction using evolutionary programming
5. Relationship between bubble size distributions and chord-length distribution in heterogeneously bubbling systems
6. Measurement of drop sizes and flow patterns in liquid pipe flow
7. Particle and droplet size analysis from chord distributions