Developments in the Theory and Application of Importance Sampling

IEEE Transactions on Communications

Volumn 35, Issue 7, 1987, Pages 706-714

  Hahn, Peter M ^a   Jeruchim, Michel C ^a  

^a GENERAL ELECTRIC COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION SATELLITES; COMPUTER SIMULATION; MATHEMATICAL STATISTICS - MONTE CARLO METHODS; PROBABILITY; STATISTICAL METHODS - REGRESSION ANALYSIS;

BER ESTIMATOR; EIS ESTIMATOR; IMPORTANCE SAMPLING (IS); IMPULSE RESPONSE ESTIMATION;

DIGITAL COMMUNICATION SYSTEMS;

EID: 0023383278     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOM.1987.1096838     Document Type: Article

References (6)

1. M. C. Jeruchim, “Techniques for estimating the bit error rate in the simulation of digital communications systems,” IEEE J. Select. Areas Commun., vol. SAC-2, pp. 153–170, Jan. 1984.
2. K. S. Shanmugan and P. Balaban, “A modified Monte Carlo simulation technique for the evaluation of error rate in digital communications systems,” IEEE Trans. Commun., vol. COM-28, Nov. 1980.
3. M. C. Jeruchim, “On the application of importance sampling to the simulation of digital satellite and multihop links,” IEEE Trans. Commun., vol. COM-32, Oct. 1984.
4. B. R. Davis, “An improved importance sampling method for digital communication system simulations,”. IEEE Trans. Commun., vol. COM-34, pp. 715-719, July 1986.
5. P. M. Hahn, M. C. Jeruchim, and T. J. Klandrud, “Implementation of importance sampling in multi-hop communication simulation,” in Proc. GLOBECOM ’86, vol. 1, Houston, TX, Dec. 1–4, 1986, pp. 4.1.1-4.1.5.
6. S. Weisberg, Applied Linear Regression. New York: Wiley, 1980.