Email: urszula.libal@pwr.edu.pl

Unit: Faculty of Electronics, Photonics and Microsystems (N) » Department of Acoustics, Multimedia and Signal Processing

ul. Z. Janiszewskiego 7/9, 50-372 Wrocław
building C-5, room 304
phone +48 71 320 2547

Office hours

• Wednesday 11.00-13.00
• Thursday 9.00-11.00

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Research fields

• Signal processing; pattern recognition.

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Recent papers

2017

• Libal U., Hasiewicz Z., Risk upper bound for a NM-type multiresolution classification scheme of random signals by Daubechies wavelets. Engineering Applications of Artificial Intelligence 62, pp. 109-123.
• Libal U., Wielgus A., Magiera W., Nonlinear Orthogonal Parametrization and Modeling of Higher-Order Non-Gaussian Time-Series. Signal Processing Symposium, Jachranka village, Poland, 12-14 September 2017.

2015

• Libal U., Hasiewicz Z.,Wavelet algorithm for hierarchical pattern recognition. Stochastic Models, Statistics and Their Applications, pp.391-398.

2014

• Libal U., Spyra K., Wavelet based shock wave and muzzle blast classification for different supersonic projectiles. Expert Systems with Applications 41 (11), pp. 5097-5104.
• Libal U., Płaskonka J., Noise sensitivity of selected kinematic path following controllers for a unicycle. Bulletin of the Polish Academy of Sciences: Technical Sciences 62 (1), pp. 3-13.

Papers in DONA database

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1	Article 2024 Urszula Libal, Paweł Biernacki, MFCC-based sound classification of honey bees. International Journal of Electronics and Telecommunications. 2024, vol. 70, nr 4, s. 849-853. ISSN: 2081-8491; 2300-1933 Resources:DOISFX
2	Article 2024 Urszula Libal, Paweł Biernacki, Non-intrusive system for honeybee recognition based on audio signals and maximum likelihood classification by autoencoder. Sensors. 2024, vol. 24, nr 16, art. 5389, s. 1-19. ISSN: 1424-8220 Resources:DOIURLSFX
3	Article 2024 Urszula Libal, Paweł Biernacki, Drone flight detection at an entrance to a beehive based on audio signals. Archives of Acoustics. 2024, vol. 49, nr 3, s. 459-468. ISSN: 0137-5075; 2300-262X Resources:DOIURLSFX
4	Article 2024 Urszula Libal, Paweł Biernacki, MFCC selection by LASSO for honey bee classification. Applied Sciences. 2024, vol. 14, nr 2, art. 913, s. 1-21. ISSN: 2076-3417 Resources:DOIURLSFX
5	Proceeding paper 2023 Urszula Libal, Paweł Biernacki, Detecting drones at an entrance to a beehive based on audio signals and autoencoder neural networks. W: 2023 Signal Processing Symposium (SPSympo), September 26-28, 2023 Karpacz, Poland. Piscataway, NJ : IEEE, cop. 2023. s. 99-104. ISBN: 979-8-3503-9942-4; 978-83-956020-7-8 Resources:DOI
6	Proceeding paper 2020 Urszula Libal, John S Baras, Karl H Johansson, Dimensionality reduction of Volterra kernels by tensor decomposition using higher-order SVD. W: 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, December 14-18, 2020. [Danvers, MA] : IEEE, cop. 2020. s. 5935-5941. ISBN: 978-1-7281-7447-1 Resources:DOIURL
7	Proceeding paper 2019 Urszula Libal, Karl H Johansson, Yule-Walker equations using higher order statistics for nonlinear autoregressive model. W: 2019 Signal Processing Symposium (SPSympo), 17-19 September 2019, Kraków, Poland. Piscataway, NJ : IEEE, cop. 2019. s. 227-231. ISBN: 978-1-7281-1715-7 Resources:DOIURL
8	Proceeding paper 2019 Bartłomiej Zubrzak, Paweł Bieńkowski, Urszula Libal, Paweł Cała, Fault detection for isotropic electromagnetic field probes by nearest neighbours classifiers. W: 23rd International Conference Electronics, ELECTRONICS 2019, 17th-19th June 2019, Palanga, Lithuania : proceedings / eds. Algimantas Valinevičius, Darius Andriukaitis, Tomyslav Sledevič. Danvers, MA : IEEE, 2019. s. 1-5. ISBN: 978-1-7281-2209-0 Resources:DOI
9	Proceeding paper 2018 Urszula Libal, Pattern recognition based on multidimensional nonlinear schur parametrization. W: 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 Nov. 2018. [Piscataway, NJ] : IEEE, cop. 2018. s. 1-5. ISBN: 978-1-5386-6812-2; 978-1-5386-6811-5 Resources:DOIURL
10	Proceeding paper 2018 Władysław Magiera, Urszula Libal, Statistical properties of signals approximated by orthogonal polynomials and Schur parametrization. W: Signal processing, algorithms, architectures, arrangements, and applications, SPA 2018 : conference proceedings, Poznań, 19th-21st September, 2018. [Danvers, MA : IEEE, cop. 2018]. s. 229-234. ISBN: 978-83-62065-31-8 Resources:DOIURL