A new music-empirical wavelet transform methodology for time-frequency analysis of noisy nonlinear and non-stationary signals.
Juan Pablo Amezquita-SanchezHojjat AdeliPublished in: Digit. Signal Process. (2015)
Keyphrases
- non stationary
- wavelet transform
- biomedical signals
- empirical mode decomposition
- blind source separation
- white noise
- audio signals
- multiresolution
- noisy environments
- low frequency
- multiscale
- high frequency
- wavelet decomposition
- hilbert transform
- signal analysis
- audio signal
- autoregressive
- speech signal
- image compression
- wavelet domain
- frequency modulation
- signal processing
- adaptive algorithms
- subband
- financial time series
- music information retrieval
- wavelet analysis
- wavelet coefficients
- stock price
- soft threshold