Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field
Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/23290/1/Blind%20Source%20Separation%20Using%20Two-Dimensional%20Nonnegative%20Matrix%20Factorization%20In%20Biomedical%20Field.pdf http://eprints.utem.edu.my/id/eprint/23290/2/Blind%20Source%20Separation%20Using%20Two-Dimensional%20Nonnegative%20Matrix%20Factorization%20In%20Biomedical%20Field.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://eprints.utem.edu.my/id/eprint/23290/1/Blind%20Source%20Separation%20Using%20Two-Dimensional%20Nonnegative%20Matrix%20Factorization%20In%20Biomedical%20Field.pdfhttp://eprints.utem.edu.my/id/eprint/23290/2/Blind%20Source%20Separation%20Using%20Two-Dimensional%20Nonnegative%20Matrix%20Factorization%20In%20Biomedical%20Field.pdf