PCR/PLSR optimization based on noise covariance estimation and Kalman filtering theory

Journal of Chemometrics

Volumn 16, Issue 8-10, 2002, Pages 401-407

  Ergon, Rolf ^a   Esbensen, Kim H ^b  

^a UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Covariance estimation; Kalman filtering; Optimization; PLSR PCR

Indexed keywords

KALMAN FILTERS; PRINCIPAL COMPONENT ANALYSIS;

COVARIANCE ESTIMATION; FILTERING THEORY; KALMAN-FILTERING; LATENT VARIABLE MODELING; MODEL FILTERING; NOISE COVARIANCE; OPTIMISATIONS; PARTIAL LEAST SQUARE REGRESSION; PARTIAL LEAST SQUARE REGRESSION/PRINCIPAL COMPONENT REGRESSION; PRINCIPAL COMPONENTS;

LEAST SQUARES APPROXIMATIONS;

CONFERENCE PAPER; COVARIANCE; FILTRATION; MODEL; NOISE; PRINCIPAL COMPONENT ANALYSIS; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SIMULATION; THEORY;

EID: 0036684330     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.732     Document Type: Conference Paper

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