Low frequency signal classification using clustering methods
The article considers the problem of low frequency signal classification, as sound or vibration pattern footprints may describe types of objects very well. In cases of a priori absence of object signal pattern information, the unsupervised learning methods based on clustering looks good enough for c...
Saved in:
| Date: | 2024 |
|---|---|
| Main Authors: | Rahozin, D.V., Doroshenko, A.Yu. |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2024
|
| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/606 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Problems in programming |
| Download file: | |
Institution
Problems in programmingSimilar Items
-
Statistical data analysis for budget planning in the provision of medical and social rehabilitation injured persons
by: Fedorenko, S.M., et al.
Published: (2015) -
-calculus as a realistic formalization of a class of rewriting systems
by: Shevchenko, R.S., et al.
Published: (2025) -
An object classification technique on aerial and space imagery under low separability of recognition features
by: Andreiev, Artem
Published: (2023) -
Algebra-dynamic models for program parallelization
by: Doroshenko, A.Yu., et al.
Published: (2025) -
One model of optimal resource allocation in homogeneous multiprocessor system
by: Doroshenko, A.Yu., et al.
Published: (2025)