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Wyszukujesz frazę "Kus, A." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
The realisation of selected signal processing functions by means of stack filters
Autorzy:
Kuś, Z.
Nawrat, A.
Powiązania:
https://bibliotekanauki.pl/articles/200003.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
stack filters
median
opening opetarions
closing operations
mediana
operacje otwierania
operacja zamykania
Opis:
The goal of the paper was to shorten the calculation time by realising all used signal processing algorithms in the form of stack filters. The architecture of these filters allows us to process signals using the advantages of hardware processing and simultaneous signal processing. This paper elaborated on the synthesis of stack filters which realise median, averaging, opening and closing operations. The novel achievement was to develop the binary box method which allows us to obtain stack filters for more complex algorithms. This method consists of two stages and requires that we construct a spatial structure of the data. This structure allows us to examine the stacking property in two steps. Obtained in this way architecture of the function is predisposed to VLSI implementation. The authors devised this method transforming the averaging filter into stack filter; however, the invented binary box method allows us to synthesise stack filter which realises more complex signal processing algorithms. The only assumption which limits the class of acceptable algorithms is the fact that the algorithm has to satisfy the stacking property at each stage of the signal processing. The proposed approach allows us to convert well-known signal processing algorithms into realisation which guarantees significantly greater speeds of signal processing.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 2; 193-208
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
User-centered design of brain-computer interfaces: OpenBCI.pl and BCI Appliance
Autorzy:
Durka, P.
Kuś, R.
Żygierewicz, J.
Michalska, M.
Milanowski, P.
Łabęcki, M.
Sputek, T.
Laszuk, D.
Duszyk, A.
Kruszyński, M.
Powiązania:
https://bibliotekanauki.pl/articles/201581.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
brain-computer interface
BCI
steady-state visual evoked potentials
SSVEP
eyetracker
assistive technologies
Opis:
Brain-Computer Interface (BCI) allows for non-muscular communication with external world, which may be the only way of communication for patients in a locked-in state. This paper presents a complete software framework for BCI, a novel hardware solution for stimuli rendering in BCIs based on Steady State Visual Evoked Potentials (SSVEP), and a univariate algorithm for detection of SSVEP in the EEG time series. OpenBCI is a complete software framework for brain-computer interfaces. Owing to an open license and modular architecture, it allows for flexible implementations of different communication channels in the serial or parallel hybrid mode, minimization of costs and improvements of stability and efficiency. Complete software is freely available from http://openbci.pl. BCI Appliance is a hardware solution that allows for dynamic control of menus with stable generation of stimuli for the SSVEP paradigm. The novelty consists of a design, whereby the LCD screen is illuminated from behind using an array of LEDs. Design pioneers also proposed a new line of thought about the user-centered design of BCI systems: a simple box with one on/off button, minimum embedded software, wireless connections to domotic and EEG acquisition devices, and user-controlled mode switching in a hybrid BCI.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 427-431
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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