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László Sujbert
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2020 – today
- 2022
- [c6]Bence Ország, László Sujbert:
Observer-based discrete Gabor transform. I2MTC 2022: 1-6 - 2021
- [j8]András Palkó
, László Sujbert
FFT-Based Identification of Gilbert-Elliott Data Loss Models. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [c5]András Palkó, László Sujbert:
Adaptive Fourier Analysis in the Case of Data Loss. I2MTC 2021: 1-6 - 2020
- [j7]László Sujbert
An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]. IEEE Signal Process. Mag. 37(4): 134-143 (2020) - [c4]András Palkó, László Sujbert:
FFT-based Identification of Gilbert-Elliott Data Loss Models. I2MTC 2020: 1-6
2010 – 2019
- 2016
- [j6]László Sujbert, György Orosz:
FFT-Based Spectrum Analysis in the Case of Data Loss. IEEE Trans. Instrum. Meas. 65(5): 968-976 (2016) - 2015
- [c3]László Sujbert, György Orosz:
FFT-based spectrum analysis in the case of data loss. I2MTC 2015: 800-805 - 2013
- [j5]György Orosz, László Sujbert
Analysis of Resonator-Based Harmonic Estimation in the Case of Data Loss. IEEE Trans. Instrum. Meas. 62(2): 510-518 (2013) - 2012
- [j4]György Orosz, László Sujbert
Adaptive filtering with bandwidth constraints in the feedback path. Signal Process. 92(1): 130-138 (2012)
2000 – 2009
- 2006
- [c2]Gyula Simon, László Sujbert:
Acoustic source localization in sensor networks with low communication bandwidth. WISES 2006: 155-163 - 2005
- [j3]László Sujbert
Resonator-based nonparametric identification of linear systems. IEEE Trans. Instrum. Meas. 54(1): 386-390 (2005) - 2002
- [j2]Gyula Simon
An efficient nonlinear least square multisine fitting algorithm. IEEE Trans. Instrum. Meas. 51(4): 750-755 (2002) - 2000
- [c1]Balázs Bank, Vesa Välimäki, László Sujbert, Matti Karjalainen:
Efficient physics-based sound synthesis of the piano using DSP methods. EUSIPCO 2000: 1-4
1990 – 1999
- 1998
- [j1]Annamária R. Várkonyi-Kóczy, Gyula Simon
A fast filter-bank for adaptive Fourier analysis. IEEE Trans. Instrum. Meas. 47(5): 1124-1128 (1998)
Coauthor Index
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