| bibtype |
J -
Journal Article
|
| ARLID |
0500658 |
| utime |
20240103221447.0 |
| mtime |
20190129235959.9 |
| SCOPUS |
85060729194 |
| WOS |
000456723400001 |
| DOI |
10.1186/s13634-018-0598-9 |
| title
(primary) (eng) |
Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising |
| specification |
| page_count |
15 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0308598 |
| ISSN |
1687-6180 |
| title
|
EURASIP Journal on Advances in Signal Processing |
| volume_id |
2019 |
| publisher |
|
|
| keyword |
Signal segmentation |
| keyword |
Signal smoothing |
| keyword |
Signal approximation |
| author
(primary) |
| ARLID |
cav_un_auth*0371530 |
| name1 |
Novosadová |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0298515 |
| name1 |
Rajmic |
| name2 |
P. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0108377 |
| name1 |
Šorel |
| name2 |
Michal |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0338628 |
| project_id |
GA16-13830S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Segmentation and denoising of signals often rely on the polynomial model which assumes that every segment is a polynomial of a certain degree and that the segments are modeled independently of each other. Segment borders (breakpoints) correspond to positions in the signal where the model changes its polynomial representation. Several signal denoising methods successfully combine the polynomial assumption with sparsity. In this work, we follow on this and show that using orthogonal polynomials instead of other systems in the model is beneficial when segmenting signals corrupted by noise. The switch to orthogonal bases brings better resolving of the breakpoints, removes the need for including additional parameters and their tuning, and brings numerical stability. Last but not the least, it comes for free! |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2020 |
| num_of_auth |
3 |
| mrcbC52 |
4 A hod 4ah 20231122143800.0 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0293326 |
| mrcbC61 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0314450 |
| name |
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií |
|
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS |
| confidential |
S |
| article_num |
6 |
| mrcbC86 |
3+4 Article Engineering Electrical Electronic |
| mrcbC91 |
A |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.384 |
| mrcbT16-s |
0.383 |
| mrcbT16-B |
27.424 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2019 |
| mrcbTft |
\nSoubory v repozitáři: sorel-0500658.pdf |
| mrcbU14 |
85060729194 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000456723400001 WOS |
| mrcbU63 |
cav_un_epca*0308598 EURASIP Journal on Advances in Signal Processing 1687-6180 1687-6180 Roč. 2019 č. 1 2019 Springer |
|