An intelligent noise reduction method for chaotic signals based on genetic algorithms and lifting wavelet transforms

Information Sciences

Volumn 218, Issue , 2013, Pages 103-118

  Han, Xiaohong ^a   Chang, Xiaoming ^a  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Chaotic signal; Genetic algorithm; Lifting wavelet transform; Noise reduction

Indexed keywords

CENTER-BASED; CHAOTIC SIGNAL; DE-NOISING; LIFTING WAVELET; LIFTING WAVELET TRANSFORMS; NOISE REDUCTION METHODS; OBSERVED DATA; POTENTIAL APPLICATIONS; POWER-SPECTRA; PREPROCESS; QUANTITATIVE METRICS; ROOT-MEAN-SQUARE ERRORS; SIGNALTONOISE RATIO (SNR); THRESHOLD OPTIMIZATION; VISUAL QUALITIES; WIDE-BAND;

COMPUTER SIMULATION; DYNAMICAL SYSTEMS; GENETIC ALGORITHMS; NOISE ABATEMENT;

SIGNAL TO NOISE RATIO;

EID: 84867405522     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.06.033     Document Type: Article

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