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 | 201 | 1992 |
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 | 48 | 1994 |
Induction motor speed estimation: neural versus phenomenological model approach B Beliczynski, L Grzesiak Neurocomputing 43 (1-4), 17-36, 2002 | 26 | 2002 |
Incremental approximation by onehidden-layer neural networks V Kurková, B Beliczynski Proc. Int. Conf. Artificial Neural Networks 1, 505-510, 1995 | 12 | 1995 |
Input preprocessing in tapped delay neural architecture for induction motor speed estimation LM Grzesiak, B Beliczynski, B Ufnalski EPE Conference CD-ROM, 2003 | 11 | 2003 |
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 | 10 | 1996 |
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 | 10 | 1994 |
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 | 9 | 2001 |
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 | 9 | 1995 |
On input discretisation processes for tapped delay neural architecture B Beliczynski Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 2003 | 8 | 2003 |
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 | 8 | 1994 |
A reduced-delay sampled-data hold B Beliczynski, W Kozinski IEEE transactions on automatic control 29 (2), 179-181, 1984 | 8 | 1984 |
A method of multivariable Hermite basis function approximation B Beliczynski Neurocomputing 96, 12-18, 2012 | 7 | 2012 |
Simple neural cascade architecture for estimating of stator and rotor flux vectors L Grzesiak, B Beliczynski EPE Conference CD-ROM, 1999 | 6 | 1999 |
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 | 6 | 1997 |
Properties of the Hermite activation functions in a neural approximation scheme B Beliczynski International Conference on Adaptive and Natural Computing Algorithms, 46-54, 2007 | 5 | 2007 |
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 | 5 | 1996 |
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 | 5 | 1992 |
Approximation of functions by multivariable hermite basis: a hybrid method B Beliczynski Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011 | 4 | 2011 |
Several enhancements to Hermite-based approximation of one-variable functions B Beliczynski, B Ribeiro International Conference on Artificial Neural Networks, 11-20, 2008 | 4 | 2008 |