A new adaptive signal segmentation approach based on Hiaguchi's fractal dimension

Communications in Computer and Information Science

Volumn 304 CCIS, Issue , 2012, Pages 152-159

  Azami, Hamed ^a   Khosravi, Alireza ^b   Malekzadeh, Milad ^b   Sanei, Saeid ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

^c UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

adaptive segmentation; discrete wavelet transform; Hiaguchi's fractal dimension; Non stationary signal

Indexed keywords

ADAPTIVE SEGMENTATION; ADAPTIVE SIGNALS; EEG SIGNALS; ELECTRO-OCULOGRAM; ELECTROMYOGRAM; HIGHER FREQUENCIES; NONSTATIONARY SIGNAL PROCESSING; NONSTATIONARY SIGNALS; SEGMENTATION METHODS;

ALGORITHMS; DISCRETE WAVELET TRANSFORMS; ELECTROENCEPHALOGRAPHY; FINITE DIFFERENCE METHOD; FRACTAL DIMENSION; FREQUENCY BANDS; INTELLIGENT COMPUTING;

SIGNAL PROCESSING;

EID: 84865043949     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-31837-5_22     Document Type: Conference Paper

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