dr inż. Piotr Andrzej Kaczmarek
Zatrudnienie
- Prodziekan ds. kształcenia i dydaktyki w Wydział Elektroniki, Telekomunikacji i Informatyki
- Zastępca kier. katedry w Katedra Sygnałów i Systemów WETI
- Adiunkt w Katedra Sygnałów i Systemów WETI
Kontakt dla biznesu
- Lokalizacja
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Telefon
- +48 58 348 62 62
- biznes@pg.edu.pl
Media społecznościowe
Kontakt
- piotr.kaczmarek@pg.edu.pl
Adiunkt
- Miejsce pracy
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 544
- Telefon
- (58) 347 12 01
Prodziekan ds. kształcenia i dydaktyki
- Miejsce pracy
- Budynek B WETI pokój 151
- Telefon
- (58) 348 62 84
Zastępca kier. katedry
- Miejsce pracy
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 750
- Telefon
- (58) 347 17 17, (58) 347 25 11
Wybrane publikacje
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Application of regularized Savitzky–Golay filters to identification of time-varying systems
Savitzky–Golay (SG) filtering is a classical signal smoothing technique based on the local least squares approximation of the analyzed signal by a linear combination of known functions of time (originally — powers of time, which corresponds to polynomial approximation). It is shown that the regularized version of the SG algorithm can be successfully applied to identification of time-varying finite impulse response (FIR) systems....
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Central heating temperature control algorithm for systems with condensing boilers
The problem of control of a central heating system in a small residence is considered. It is assumed that the system is based on a condensing boiler. Since the boiler efficiency depends on a returning water temperature, the proposed control goal is to provide proper air temperature in the residence as well as the lowest possible water temperature. The proposed algorithm is applied to two buildings. Both of them have the same heating...
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Identification of Fast Time-varying Communication Channels Using the Preestimation Technique
Accurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state-of-the-art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately...
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