Behavioral modeling of IC output buffers: A case study

2005 PhD Research in Microelectronics and Electronics - Proceedingsof the Conference

Volumn II, Issue , 2005, Pages 366-369

  Siviero, C ^a   Stievano, I S ^a   Maio, I A ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AVAILABILITY; BUFFER CIRCUITS; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS;

OUTPUT BUFFERS; OUTPUT PORTS; PARAMETRIC RELATIONS;

INTEGRATED CIRCUITS;

EID: 32444447743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RME.2005.1542963     Document Type: Conference Paper

References (10)

1. I. S. Stievano, I. A. Maio, F. G. Canavero, "Parametric Macromodels of Digital I/O Ports," IEEE Trans. on Adv. Pack., May 2002.
2. I. S. Stievano, I. A. Maio, F. G. Canavero, "Mπlog, Macromodels via Parametric Identification of Logic Gates," IEEE Trans, on Adv. Pack., Feb. 2004.
3. I. S. Stievano, I. A. Maio, F. G. Canavero, C.Siviero, "Reliable Eye-Diagram Analysis of Data Links via Device Macromodels," IEEE Transactions on Advanced Packaging, 2005. (submitted)
4. L. Ljung, System identification: theory for the user, Prentice-Hall, 1987.
5. A. Ponchet and J. L. Ponchet and G. S. Moschytz, "On the input/output approximation of nonlinear systems," Proceeding of ISCAS-95,pp. 1500-1503, May 1995.
6. J. Sjöberg et al., "Nonlinear black-box modeling in system identification: a unified overview," Automatica, Vol. 31, No. 12, pp. 1691-1724, 1995.
7. L. Ljung, System identification toolbox user's guide, The MathWorks, inc, Nov. 2000.
8. M. T. Hagan, M. Menhaj, "Training feedforward networks with the marquardt algorithm," IEEE Trans. on Neural Networks, Nov. 1994.
9. D. Nguyen, B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights," Proc. of the International Joint Conference on Neural Networks (IJCNN), San Diego, CA, USA, pp. 21-26, Jun. 17-21, 1990.
10. Y. H. Fang, M. C. E. Yagoub, F. Wang, Q. J. Zhang, "A new macromodeling approach for nonlinear microwave circuits based on recurrent neural networks," Proc of 2000 IEEE MTT-S Int. Microwave Symp., 2000.