@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 {ElBouanani2014, title = {Novel results for the spectral efficiency and symbol error rate of GSC receiver over identical and uncorrelated weibull fading channels}, booktitle = {2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014}, year = {2014}, note = {cited By 0}, abstract = {In this work, we introduce a novel probability density function (PDF)-based expression to obtain the maximum average spectral efficiency (MASE) and the average symbol error rate (ASER) of L-branch Generalized Selection Combining (GSC) receiver over independent and identical Weibull fading channels. Approximating the output SNR by a simple H-distribution, useful expressions of outage probability, MASE and ASER for some M-Ary modulation schemes are derived in terms of Meijer G-function. The approximated PDF is validated by computed simulations using Mathematica software. {\textcopyright} 2014 IEEE.}, doi = {10.1109/WCCAIS.2014.6916586}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908675984\&doi=10.1109\%2fWCCAIS.2014.6916586\&partnerID=40\&md5=3d3e87c25c4705f20eb8ff4c6e7a5025}, author = {El Bouanani, F.a and Ben-Azza, H.b and Belkasmi, M.a} }