Howtosignalprocessing
- What are blind source separation methods?
- What is a convolutive mixture?
- What is convolutive blind source separation?
- What is blind source separation in machine learning?
What are blind source separation methods?
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.
What is a convolutive mixture?
Convolutive mixtures are mixtures where the mixing is of convolutive nature, i.e. the model is. yi (n) = ΣjdΣτMij-1 hij(τ)xj(n-τ) + Ni(n), for i=1.. m.
What is convolutive blind source separation?
Convolutive blind source separation (CBSS) is one of the main branches in the field of intelligent signal processing. Inspired by the thought of sliding discrete Fourier transform (DFT), an idea of the sliding Z-transform is introduced in the present study.
What is blind source separation in machine learning?
3.3 BSS and its application in BCI
BSS refers to a problem where the sources and the mixing matrix are indistinct and only observation signals are available for the separation procedure. The objective is to separate unknown and independent sources using observation signals.
