@article {Naamane2016215,
	title = {A new semi-analytical performance prediction of a digital communication system},
	journal = {Lecture Notes in Electrical Engineering},
	volume = {380},
	year = {2016},
	note = {cited By 0},
	pages = {215-223},
	abstract = {This paper proposes a new semi-analytical method for estimating the error probability for any digital communication system. We show that the problem of the error probability estimation is equivalent to estimating the conditional probability density function (pdfs) of soft receiver outputs. The proposed method uses Fast Fourier transform inversion for predicting the pdf. Furthermore, we applied Bootstrap criterion for selecting the optimum smoothing parameter which makes this method more accurate. Simulation results have shown that the obtained error probability with the new approach is close to that measured by Monte-Carlo simulation method. {\textcopyright} Springer International Publishing Switzerland 2016.},
	doi = {10.1007/978-3-319-30301-7_23},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964523339\&doi=10.1007\%2f978-3-319-30301-7_23\&partnerID=40\&md5=23ff7e542019ffa42bc1eaf2b91eefd3},
	author = {Naamane, F.E.a and Et-tolba, M.b and Belkasmi, M.a}
}
@conference {Naamane2016,
	title = {A saddle-point based approach for semi-Analytical performance evaluation of a digital communication system},
	booktitle = {IEEE Wireless Communications and Networking Conference, WCNC},
	volume = {2016-September},
	year = {2016},
	note = {cited By 0},
	abstract = {Nowadays, it has become difficult to obtain the expected performance of a digital communication system using the Monte Carlo simulation method. This is due to advanced technologies used in the transmitter and the receiver. In this paper, we propose a new semi-Analytical approach for deriving the error probability. It combines the saddle-point approximation and bootstrap technique for estimating the probability density function. Simulation results show that the obtained semi-Analytical error probability is close to that measured with Monte Carlo simulation and provides a significant gain in terms of computing time. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/WCNC.2016.7565011},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989913404\&doi=10.1109\%2fWCNC.2016.7565011\&partnerID=40\&md5=a195d901faec2cafa27156b093772baf},
	author = {Naamane, F.E.a and Et-tolba, M.b and Belkasmi, M.c}
}
@article {Naamane2015,
	title = {A semi-analytical performance prediction of a digital communication system using Fourier transform inversion},
	journal = {Eurasip Journal on Wireless Communications and Networking},
	volume = {2015},
	number = {1},
	year = {2015},
	note = {cited By 0},
	abstract = {Analytical performance evaluation of a digital communication system remains a serious problem especially when a sophisticated digital signal processing is considered. Moreover, it is difficult to obtain the expected performance of such system using the Monte Carlo simulation method. In this paper, we propose a new semi-analytical approach for predicting error probability in a digital communication system. This approach is based on Fourier transform inversion formula to estimate the probability density function (pdf) of the observed soft sample at the receiver. Furthermore, we applied a bootstrap method for selecting the optimal smoothing parameter to make the proposed semi-analytical method more accurate. Simulation results show that the obtained semi-analytical error probability is close to the one measured using Monte Carlo simulation and provides a significant gain in terms of computing time. Besides, the use of the bootstrap method decreases the squared error between the true pdf and the estimated one. {\textcopyright} 2015, Naamane et al.},
	doi = {10.1186/s13638-015-0467-2},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945334687\&doi=10.1186\%2fs13638-015-0467-2\&partnerID=40\&md5=65b273dd6e260c94dadf1b8ec22e96ac},
	author = {Naamane, F.E.a and Et-tolba, M.b and Belkasmi, M.a}
}
