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Bartlomiej Beliczynski
Bartlomiej Beliczynski
Verified email at ee.pw.edu.pl
Title
Cited by
Cited by
Year
Approximation of FIR by IIR digital filters: An algorithm based on balanced model reduction
B Beliczynski, I Kale, GD Cain
IEEE Transactions on Signal Processing 40 (3), 532-542, 1992
2011992
FIR filter order reduction: Balanced model truncation and Hankel-norm optimal approximation
I Kale, J Gryka, GD Cain, B Beliczyński
Vision, Image and Signal Processing, IEE Proceedings- 141 (3), 1994
481994
Induction motor speed estimation: neural versus phenomenological model approach
B Beliczynski, L Grzesiak
Neurocomputing 43 (1-4), 17-36, 2002
262002
Incremental approximation by onehidden-layer neural networks
V Kurková, B Beliczynski
Proc. Int. Conf. Artificial Neural Networks 1, 505-510, 1995
121995
Input preprocessing in tapped delay neural architecture for induction motor speed estimation
LM Grzesiak, B Beliczynski, B Ufnalski
EPE Conference CD-ROM, 2003
112003
Incremental approximation by one-hidden-layer neural networks: discrete functions rapprochement
B Beliczynski
Proceedings of IEEE International Symposium on Industrial Electronics 1, 392-397, 1996
101996
IIR filter design via Hankel-norm optimal approximation of FIR prototype filters: A streamlined approach
B Beliczyński, J Gryka, GD Cain, I Kale
Electronics Letters 30 (4), 1994
101994
Induction motor speed estimation: Limitations of certain neural schemes based on time instances of periodic signals
B Beliczynski, L Grzesiak
IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society …, 2001
92001
An incremental learning algorithm for gaussian radial-basis-function approximation
V Kurková, B Beliczynski
Second international symposium on methods and models in automation and …, 1995
91995
On input discretisation processes for tapped delay neural architecture
B Beliczynski
Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 2003
82003
Critical comparison of Hankel-norm optimal approximation and balanced model truncation algorithms as vehicles for FIR-to-IIR filter order reduction
B Beliczynski, J Gryka, I Kale
Proceedings of ICASSP'94. IEEE International Conference on Acoustics, Speech …, 1994
81994
A reduced-delay sampled-data hold
B Beliczynski, W Kozinski
IEEE transactions on automatic control 29 (2), 179-181, 1984
81984
A method of multivariable Hermite basis function approximation
B Beliczynski
Neurocomputing 96, 12-18, 2012
72012
Simple neural cascade architecture for estimating of stator and rotor flux vectors
L Grzesiak, B Beliczynski
EPE Conference CD-ROM, 1999
61999
Low-order modeling of head-related transfer functions using balanced model truncation
B Beliczynski, I Kale, GD Cain
IEEE Trans. Signal Processing 40 (3), 532-542, 1997
61997
Properties of the Hermite activation functions in a neural approximation scheme
B Beliczynski
International Conference on Adaptive and Natural Computing Algorithms, 46-54, 2007
52007
An almost analytical design of incremental discrete functions approximation by one-hidden-layer neural networks
B Beliczynski
Proceedings of World Congress on Neural Networks, San Diego, CA, USA, 988-991, 1996
51996
A balanced model reduction algorithm for transforming FIR to IIR approximants
B Beliczynski, I Kale, GD Cain
IEEE Transactions on Signal Processing 40 (3), 532-542, 1992
51992
Approximation of functions by multivariable hermite basis: a hybrid method
B Beliczynski
Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011
42011
Several enhancements to Hermite-based approximation of one-variable functions
B Beliczynski, B Ribeiro
International Conference on Artificial Neural Networks, 11-20, 2008
42008
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