A new music-empirical wavelet transform methodology for time-frequency analysis of noisy nonlinear and non-stationary signals

Digital Signal Processing: A Review Journal

Volumn 45, Issue , 2015, Pages 55-68

  Amezquita Sanchez, Juan P ^a   Adeli, Hojjat ^b,c  

^a UNIVERSIDAD AUTÓNOMA DE QUERÉTARO   (Mexico)

^b OHIO STATE UNIVERSITY   (United States)

^c IEEE   (United States)

Author keywords

Fourier transform; Hilbert transform; Signal processing; Spectral decomposition; Wavelet transform

Indexed keywords

FOURIER TRANSFORMS; SIGNAL PROCESSING; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

HILBERT TRANSFORM; MULTIPLE SIGNAL CLASSIFICATION; NONLINEAR AND NON-STATIONARY SIGNALS; SPECTRAL DECOMPOSITION; TIME FREQUENCY ANALYSIS; TIME SERIES SIGNALS; TIME-FREQUENCY REPRESENTATIONS; WAVELET FILTER BANKS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84939265121     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2015.06.013     Document Type: Article

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