TY  - JOUR
AU  - Spasić, Slađana
AU  - Perović, Aleksandar
AU  - Klonowski, W
AU  - Đorđević, Zoran
AU  - Duch, W
AU  - Jovanović, Aleksandar
PY  - 2010
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/2820
AB  - Semantics of spectroscopy of biological signals and criteria of semantic stability are the initial issues in this
article. Motivated with some semantic confusion related to our cooperation and elsewhere, we are
investigating the circumstances in which spectroscopic features have direct meaning and when that is
questioned. Two problems arise immediately: what are additional ways in signal analysis through
spectroscopy and generalizations and how can we learn more on the processes investigated. Our aim is to
enrich the available methods and tools providing researchers with additional ways in detailed analysis of
biological signal spectra and help to overcome some of difficulties. We show some of our work in signal
spectroscopy, aiming to signal forensics and to uncover more details in the investigated signals, discuss
invariants of involved operators, addressing the WYSIWYG - “what you see is what you get” method
property. Ziggurat like structures of spectral features, parallel multiple resolution spectroscopy, application
of image processing tools on spectral features and second order spectroscopy take place in the investigation
of fine spectrogram feature details. Automatized feature detection and comparisons techniques, are used.
These set of procedures represent our improvements and contribution to this important method for analysis
of biological signals, illustrated on the examples from our practice, processed with our implementations.
PB  - International Society for Bioelectromagnetism
T2  - International journal for bioelectromagnetism
T1  - Forensics of Features in the Spectra of Biological Signals
EP  - 75
IS  - 2
SP  - 62
VL  - 12
UR  - https://hdl.handle.net/21.15107/rcub_rimsi_2820
ER  - 

@article{
author = "Spasić, Slađana and Perović, Aleksandar and Klonowski, W and Đorđević, Zoran and Duch, W and Jovanović, Aleksandar",
year = "2010",
abstract = "Semantics of spectroscopy of biological signals and criteria of semantic stability are the initial issues in this
article. Motivated with some semantic confusion related to our cooperation and elsewhere, we are
investigating the circumstances in which spectroscopic features have direct meaning and when that is
questioned. Two problems arise immediately: what are additional ways in signal analysis through
spectroscopy and generalizations and how can we learn more on the processes investigated. Our aim is to
enrich the available methods and tools providing researchers with additional ways in detailed analysis of
biological signal spectra and help to overcome some of difficulties. We show some of our work in signal
spectroscopy, aiming to signal forensics and to uncover more details in the investigated signals, discuss
invariants of involved operators, addressing the WYSIWYG - “what you see is what you get” method
property. Ziggurat like structures of spectral features, parallel multiple resolution spectroscopy, application
of image processing tools on spectral features and second order spectroscopy take place in the investigation
of fine spectrogram feature details. Automatized feature detection and comparisons techniques, are used.
These set of procedures represent our improvements and contribution to this important method for analysis
of biological signals, illustrated on the examples from our practice, processed with our implementations.",
publisher = "International Society for Bioelectromagnetism",
journal = "International journal for bioelectromagnetism",
title = "Forensics of Features in the Spectra of Biological Signals",
pages = "75-62",
number = "2",
volume = "12",
url = "https://hdl.handle.net/21.15107/rcub_rimsi_2820"
}

Spasić, S., Perović, A., Klonowski, W., Đorđević, Z., Duch, W.,& Jovanović, A.. (2010). Forensics of Features in the Spectra of Biological Signals. in International journal for bioelectromagnetism
International Society for Bioelectromagnetism., 12(2), 62-75.
https://hdl.handle.net/21.15107/rcub_rimsi_2820

Spasić S, Perović A, Klonowski W, Đorđević Z, Duch W, Jovanović A. Forensics of Features in the Spectra of Biological Signals. in International journal for bioelectromagnetism. 2010;12(2):62-75.
https://hdl.handle.net/21.15107/rcub_rimsi_2820 .

Spasić, Slađana, Perović, Aleksandar, Klonowski, W, Đorđević, Zoran, Duch, W, Jovanović, Aleksandar, "Forensics of Features in the Spectra of Biological Signals" in International journal for bioelectromagnetism, 12, no. 2 (2010):62-75,
https://hdl.handle.net/21.15107/rcub_rimsi_2820 .

TY  - JOUR
AU  - Jovanović, Aleksandar
AU  - Perović, Aleksandar
AU  - Klonowski, Wlodzimierz
AU  - Duch, Wlodzislaw
AU  - Đorđević, Zoran
AU  - Spasić, Slađana
PY  - 2010
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/381
AB  - In this article structures in biological signals are treated. The simpler-directly visible in the signals, which still demand serious methods and algorithms in the feature detection, similarity investigation and classification. The major actions in this domain are of geometric, thus simpler sort, though there are still hard problems related to simple situations. The other large class of less simple signals unsuitable for direct geometric or statistic approach, are signals with interesting frequency components and behavior, those suitable for spectroscopic analysis. Semantics of spectroscopy, spectroscopic structures and research demanded operations and transformations on spectra and time spectra are presented. The both classes of structures and related analysis methods and tools share a large common set of algorithms, all of which aiming to the full automatization. Some of the signal features present in the brain signal patterns are demonstrated, with the contexts relevant in BCI, brain computer interfaces. Mathematical representations, invariants and complete characterization of structures in broad variety of biological signals are in the central focus.
PB  - Springer, New York
T2  - Journal of Signal Processing Systems for Signal Image and Video Technology
T1  - Detection of Structural Features in Biological Signals
EP  - 129
IS  - 1
SP  - 115
VL  - 60
DO  - 10.1007/s11265-009-0407-7
ER  - 

@article{
author = "Jovanović, Aleksandar and Perović, Aleksandar and Klonowski, Wlodzimierz and Duch, Wlodzislaw and Đorđević, Zoran and Spasić, Slađana",
year = "2010",
abstract = "In this article structures in biological signals are treated. The simpler-directly visible in the signals, which still demand serious methods and algorithms in the feature detection, similarity investigation and classification. The major actions in this domain are of geometric, thus simpler sort, though there are still hard problems related to simple situations. The other large class of less simple signals unsuitable for direct geometric or statistic approach, are signals with interesting frequency components and behavior, those suitable for spectroscopic analysis. Semantics of spectroscopy, spectroscopic structures and research demanded operations and transformations on spectra and time spectra are presented. The both classes of structures and related analysis methods and tools share a large common set of algorithms, all of which aiming to the full automatization. Some of the signal features present in the brain signal patterns are demonstrated, with the contexts relevant in BCI, brain computer interfaces. Mathematical representations, invariants and complete characterization of structures in broad variety of biological signals are in the central focus.",
publisher = "Springer, New York",
journal = "Journal of Signal Processing Systems for Signal Image and Video Technology",
title = "Detection of Structural Features in Biological Signals",
pages = "129-115",
number = "1",
volume = "60",
doi = "10.1007/s11265-009-0407-7"
}

Jovanović, A., Perović, A., Klonowski, W., Duch, W., Đorđević, Z.,& Spasić, S.. (2010). Detection of Structural Features in Biological Signals. in Journal of Signal Processing Systems for Signal Image and Video Technology
Springer, New York., 60(1), 115-129.
https://doi.org/10.1007/s11265-009-0407-7

Jovanović A, Perović A, Klonowski W, Duch W, Đorđević Z, Spasić S. Detection of Structural Features in Biological Signals. in Journal of Signal Processing Systems for Signal Image and Video Technology. 2010;60(1):115-129.
doi:10.1007/s11265-009-0407-7 .

Jovanović, Aleksandar, Perović, Aleksandar, Klonowski, Wlodzimierz, Duch, Wlodzislaw, Đorđević, Zoran, Spasić, Slađana, "Detection of Structural Features in Biological Signals" in Journal of Signal Processing Systems for Signal Image and Video Technology, 60, no. 1 (2010):115-129,
https://doi.org/10.1007/s11265-009-0407-7 . .