dr inż. Agnieszka Wielgus
E-mail: agnieszka.wielgus@pwr.edu.pl
Jednostka: Wydział Elektroniki, Fotoniki i Mikrosystemów » Katedra Akustyki, Multimediów i Przetwarzania Sygnałów
ul. Z. Janiszewskiego 7/9, Wrocław
bud. C-5, pok. 302
tel. 71 320 2547
Konsultacje
- poniedziałek 9-11 Teams
- piątek 12:45-14:45 302 lub 308 C-5
Zainteresowania naukowe
- Przetwarzanie sygnałów; optymalizacja; algorytmy metaheurystyczne (signal processing, optimization, metaheuristics)
Najważniejsze publikacje z ostatnich lat
2018
- Wielgus A., Zarzycki J., Efficient Schur Parametrization and Modeling of p-Stationary Second-Order Time-Series for LPC Transmission, International Journal of Electronics and Telecommunications, 2018, vol. 64 (3), s. 343-350.
- Magiera W., Libal U., Wielgus A. Efficient Measurement of Higher-Order Statistics of Stochastic Processes - accepted to Kybernetika
- Wielgus A., Zarzycki J., Fast Algortihms for the Schur-Type Nonlinear Parametrization of Higher-Order Stochastic Processes. W: 2018, 26th European Signal Processing Conference, EUSIPCO 2018, Rome, Italy, 3-7 September 2018.
2017
- Wielgus A., Libal U., Magiera W.J., Nonlinear complexity reduction: Sparsity of the generalized schur coefficient matrices and frobenius norm criterion. W: 2017 Signal Processing Symposium (SPSympo), Jachranka village, Poland, 12-14 September 2017. Piscataway, NJ: IEEE, cop. 2017. s. 1-6.
- Wielgus A., Zarzycki J., Efficient Schur parametrization of near-stationary stochastic processes, 2017 International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE Conference Publications, Pages: 1-5, DOI: 10.1109/IWSSIP.2017.7
2015
- Rudek R., Wielgus A.:, A note 'On a single machine-scheduling problem with separated position and resource effects'. Optimization: A Journal of Mathematical Programming and Operations Research. 2015, vol. 64, nr 9, s. 2043-2046.