Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2001, Pages 3117-3120

  Cichocki, A ^a   Gharieb, R R ^a   Hoya, T ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ESTIMATION; MATHEMATICAL MODELS; RANDOM PROCESSES; SIGNAL TO NOISE RATIO; WHITE ACOUSTIC NOISE;

EVOKED POTENTIALS; SINGULAR VALUE DECOMPOSITION; SUBSPACE METHODS; WIENER FILTERING;

SIGNAL FILTERING AND PREDICTION;

EID: 0034854546     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Weighted averaging of evoked potentials
2. Subspace regularization method for the single-trial estimation of evoked potentials
3. Minimal repletion evoked potentials by modified adaptive line enhancement
4. Adaptive filter for event-related bioelectrical signals using an impulse correlated reference input: Comparison with signal averaging techniques
5. Visual evoked potential measurement by adaptive filtering
6. Principle component elimination method for the improvement of S/N in evoked neuromagnetic field measurements
7. Time-varying adaptive filters for evoke potential estimation