Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: A comparison

IEEE Signal Processing Letters

Volumn 17, Issue 3, 2010, Pages 237-240

  Gao, Jianbo ^a   Sultan, Hussain ^b   Hu, Jing ^c   Tung, Wen Wen ^d  

^a PMB Intelligence LLC   (United States)

^b J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^c Thermo Fisher Scientific   (United States)

^d PURDUE UNIVERSITY   (United States)

Author keywords

Adaptive denoising algorithm; Eeg signal; Lorenz; Wavelet

Indexed keywords

CHAOTIC LORENZ SYSTEM; CORRELATION DIMENSIONS; DE-NOISING; DE-NOISING ALGORITHM; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; LYAPUNOV EXPONENT; NONLINEAR TIME SERIES; PREPROCESS; ROOT MEAN SQUARE ERRORS; SLEEP APNEA; THRESHOLDING; WAVELET DENOISING; WAVELET SHRINKAGE;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; CHAOTIC SYSTEMS; DIFFERENTIAL EQUATIONS; ELECTROENCEPHALOGRAPHY; TIME SERIES;

ADAPTIVE ALGORITHMS;

EID: 75749108283     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2009.2037773     Document Type: Article

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