Local polynomial modelling of time-varying autoregressive processes and its application to the analysis of event-related electroencephalogram

ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Volumn , Issue , 2010, Pages 3124-3127

  Zhang, Z G ^a   Chan, S C ^a   Hung, Y S ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH SELECTIONS; BIOMEDICAL SIGNAL; CONVENTIONAL METHODS; DATA-DRIVEN; HIGH RESOLUTION; IDENTIFICATION METHOD; LEAST-SQUARES ESTIMATION; MEAN SQUARED ERROR; METHOD MODEL; NONSTATIONARY; POLYNOMIAL MODELING; SIMULATION RESULT; SPECTRAL INFORMATION; TIME FREQUENCY ANALYSIS; TIME-FREQUENCY CHARACTERISTICS; TIME-VARYING AUTOREGRESSIVE; TIME-VARYING AUTOREGRESSIVE PROCESS;

BANDWIDTH; BIOELECTRIC PHENOMENA; ELECTROENCEPHALOGRAPHY; FABRICS; POLYNOMIALS; TIME VARYING SYSTEMS; WAVELET TRANSFORMS;

MATHEMATICAL MODELS;

EID: 77955990253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2010.5537961     Document Type: Conference Paper

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