Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models.
Angel L. CedeñoRafael OrellanaRodrigo CarvajalBoris I. GodoyJuan C. AgüeroPublished in: IEEE Access (2023)
Keyphrases
- gaussian mixture model
- finite impulse response
- maximum likelihood
- mixture model
- fir filters
- filter bank
- em algorithm
- filter design
- feature vectors
- expectation maximization
- feature space
- probability density function
- frequency response
- perfect reconstruction
- fast fourier transform
- pattern recognition
- digital filters
- low pass filter
- multiscale
- high dimensional
- signal processing
- dimensionality reduction
- prior knowledge