References
- BEAULIEU, N. C. (1990a). 'An investigation of Gaussian tail and Rayleigh tail density functions for importance sampling digital communication system simulation', IEEE Transactions on Communications, 38, 1288-1292 https://doi.org/10.1109/26.61364
- BEAULIEU, N. C. (1990b). 'A composite importance sampling technique for digital communication system simulation', IEEE Transactions on Communications, 38, 393-396 https://doi.org/10.1109/26.52645
- DAVIS, B. R. (1986). 'An improved importance sampling method for digital communication system simulation', IEEE Transactions on Communications, 34, 715-719 https://doi.org/10.1109/TCOM.1986.1096598
- JERUCHIM, M. C. (1984). 'Techniques for estimating the bit error rate in the simulation of digital communication systems', IEEE Journal on Selected Areas in Communications, 2, 153-170 https://doi.org/10.1109/JSAC.1984.1146031
- OH, M-S. AND BERGER, J. O. (1992). 'Adaptive importance sampling in Monte Carlo integration', Journal of Statistical Computation and Simulation, 41, 143-168 https://doi.org/10.1080/00949659208810398
- OH, M-S. AND KIM, N. Y. (1994). 'Efficient random generation from extreme tail areas of t distribution', Korean Journal of Applied Statistics, 9, 165-177
- SCHLEBUSCH, H. J. (1990). 'Nonlinear importance sampling techniques for efficient simulation of communication systems', In Proceeding of IEEE International Conference on Communications, 631-635
- SHANMUGAM, K. S. AND BALABAN, P. (1980). 'A modified Monte-Carlo simulation technique for the evaluation of error rate in digital communication systems', IEEE Transactions on Communications, 28, 1916-1924 https://doi.org/10.1109/TCOM.1980.1094613
- STADLER, J. S. AND Roy, S. (1993). 'Adaptive Importance Sampling', IEEE Journal on Selected Areas in Communications. 11. 309-316 https://doi.org/10.1109/49.219545