Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm.
Milos BrajovicLjubisa StankovicMilos DakovicPublished in: Digit. Signal Process. (2020)
Keyphrases
- non stationary
- genetic algorithm
- blind source separation
- eigenvalue decomposition
- biomedical signals
- empirical mode decomposition
- covariance matrix
- eigenvalues and eigenvectors
- singular value decomposition
- white noise
- fourier analysis
- single channel
- wavelet packet
- eigenvalue problems
- affinity matrix
- autoregressive
- intrinsic mode functions
- principal component analysis
- spectral clustering
- adaptive algorithms
- signal processing
- signal reconstruction
- correlation matrix
- random fields
- concept drift
- laplacian matrix
- multi channel
- higher order
- spectral analysis
- autocorrelation function
- low rank
- discrete valued
- independent component analysis
- instantaneous frequency
- gaussian markov random fields