Radar signal recognition based on time-frequency representations and multidimensional probability density function estimator K Konopko, YP Grishin, D Jańczak 2015 Signal Processing Symposium (SPSympo), 1-6, 2015 | 28 | 2015 |
A detection algorithm of LPI radar signals K Konopko Signal Processing Algorithms, Architectures, Arrangements, and Applications …, 2007 | 16 | 2007 |
Detection of LFM radar signals and chirp rate estimation based on time-frequency rate distribution E Swiercz, D Janczak, K Konopko Sensors 21 (16), 5415, 2021 | 14 | 2021 |
Accuracy analysis of the indoor location system based on Bluetooth low-energy RSSI measurements D Janczak, W Walendziuk, M Sadowski, A Zankiewicz, K Konopko, ... Energies 15 (23), 8832, 2022 | 12 | 2022 |
Estimation and classification of nlfm signals based on the time–chirp representation E Swiercz, D Janczak, K Konopko Sensors 22 (21), 8104, 2022 | 12 | 2022 |
A Radar Signal Recognition Algorithm Based on the Wigner-Ville Distribution and the RBF Probability Density Function Estimation Y Grishin, K Konopko Proceedings of the International Symposium on Signals, Systems and …, 2004 | 11 | 2004 |
Development of an extensive workflow for comprehensive clinical pharmacogenomic profiling: lessons from a pilot study on 100 whole exome sequencing data A Tafazoli, M van der Lee, JJ Swen, A Zeller, N Wawrusiewicz-Kurylonek, ... The Pharmacogenomics Journal 22 (5), 276-283, 2022 | 6 | 2022 |
Time-chirp distribution for detection and estimation of LPI radar signals E Swiercz, K Konopko, D Janczak 2020 21st International Radar Symposium (IRS), 362-367, 2020 | 6 | 2020 |
An implementation of the Cohen’s class time-frequency distributions on a massively parallel processor K Konopko Prz. Elektrot 88 (9B), 289-291, 2012 | 6 | 2012 |
The Comparison of the Probability Density Function Estimators for Signal Detection in Impulse Noise K Konopko Przegląd Elektrotechniczny 86 (3), 36-37, 2010 | 5 | 2010 |
Classification method based on multidimensional probability density function estimation dedicated to embedded systems K Konopko, D Janczak IFAC-PapersOnLine 51 (6), 318-323, 2018 | 4 | 2018 |
Automatyczne rozpoznawanie sygnałów radiolokacyjnych z wykorzystaniem transformat Wignera-Villego J Griszin, K Konopko Biuletyn Wojskowej Akademii Technicznej 55 (2), 65-77, 2006 | 4 | 2006 |
Identification of parameters of high order polynomial phase signals E Swiercz, D Janczak, K Konopko 2021 21st International Radar Symposium (IRS), 1-10, 2021 | 3 | 2021 |
Nonlinear signal processing with minimization of spectral distortion for embedded systems K Konopko, D Janczak IFAC-PapersOnLine 51 (6), 450-455, 2018 | 3 | 2018 |
Maneuver detection algorithm based on probability density function estimation with use of RBF and HRBF neural network K Konopko, D Janczak Photonics Applications in Astronomy, Communications, Industry, and High …, 2004 | 3 | 2004 |
ESWSE-Elektroniczny System Wspomagania Skutecznej Ewakuacji W Walendziuk, D Jańczak, K Konopko, A Zankiewicz, M Sadowski, ... Wiadomości Elektrotechniczne 92, 2024 | 1 | 2024 |
Estymacja i generacja sygnałów szumowych z zastosowaniem procesorów masowo-równoległych K Konopko Przegląd Elektrotechniczny 92 (2), 54--57, 2016 | 1 | 2016 |
Realizacja nieliniowych metod przetwarzania sygnałów w systemach cyfrowych K Konopko Przegląd Elektrotechniczny 91 (1), 77-80, 2015 | 1 | 2015 |
Zastosowanie procesorów masowo-równoległych w addytywnej syntezie sygnałów. K Konopko Przegląd Elektrotechniczny 90 (11), 231--234, 2014 | 1 | 2014 |
An Adaptive Filter for Radar Clutter Supression Based on the TMS320c6701 DSP Y Grishin, K Konopko, A Zankiewicz Bialystok Technical University, Electrical Engineering Faculty, Białystok …, 2011 | 1 | 2011 |