Amœbas and structural stability of multidimensional systems: a test algorithm based on Monte-Carlo integration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Link
https://link.springer.com/content/pdf/10.1007/s11045-023-00869-9.pdf
Reference40 articles.
1. Anderson, B., & Jury, E. (1974). Stability of multidimensional digital filters. IEEE Transactions on Circuits and Systems, 21(2), 300–304. https://doi.org/10.1109/TCS.1974.1083834
2. Benidir, M. (1991). Sufficient conditions for the stability of multidimensional recursive digital filters. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4, 2885–2888
3. Bistritz, Y. (1984). Zero location with respect to the unit circle of discrete-time linear system polynomials. Proceedings of the IEEE, 72(9), 1131–1142.
4. Bistritz, Y. (1999). Stability testing of two-dimensional discrete linear system polynomials by a two-dimensional tabular form. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 46(6), 666–676. https://doi.org/10.1109/81.768823
5. Bogdanov, D. V., Kytmanov, A. A., & Sadykov, T. M. (2016). Algorithmic computation of polynomial amoebas. In V. P. Gerdt, W. Koepf, W. M. Seiler, & E. V. Vorozhtsov (Eds.), Computer Algebra in Scientific Computing (pp. 87–100). Cham: Springer.
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