A non-parametric test for detecting the complex-valued nature of time series

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2773 PART 1, Issue , 2003, Pages 1364-1371

  Gautama, Temujin ^a   Mandic, Danilo P ^b   Van Hulle, Marc M ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIGITAL SIGNAL PROCESSING; LINEARIZATION; MATHEMATICAL MODELS; NATURAL SCIENCES; PHASE SPACE METHODS; SIGNAL FILTERING AND PREDICTION; STATISTICAL TESTS; TIME SERIES;

DATA FRAMEWORKS; IKEDA MAP; NON-PARAMETERIC TESTS; NONLINEAR MODELING; BIVARIATE; COMPLEX-VALUED; COMPLEX-VALUED SIGNAL; NATURAL SCIENCES AND ENGINEERINGS; NON-PARAMETRIC TEST; RADAR DATA; SURROGATE DATA;

TIME SERIES ANALYSIS; KNOWLEDGE BASED SYSTEMS;

EID: 8344257994     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45224-9_184     Document Type: Conference Paper

References (8)

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