A linear source recovery method for underdetermined mixtures of uncorrelated AR-model signals without sparseness
Conventional sparseness-based approaches for instantaneous underdetermined blind source separation (UBSS) do not take into account the temporal structure of the source signals. In this work, we exploit the source temporal structure and propose a linear source recovery solution for the UBSS problem w...
Saved in:
Main Authors: | Khong, Andy Wai Hoong, Liu, Benxu, Reju, V. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/100623 http://hdl.handle.net/10220/20352 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Separation of underdetermined speech mixture based on sparse Bayesian recovery
by: Wang, Zhe
Published: (2017) -
Sparse uncorrelated linear discriminant analysis
by: Chu, D., et al.
Published: (2016) -
Estimation of powers of uncorrelated sources in linear arrays
by: Ko, C.C., et al.
Published: (2014) -
Underdetermined convolutive blind source separation via time-frequency masking
by: Reju, Vaninirappuputhenpurayil Gopalan, et al.
Published: (2011) -
Blind source separation of speech mixtures
by: Liu, Benxu
Published: (2015)