Vázquez Vilar, GonzaloGuillén i Fàbregas, AlbertKoch, Tobias MircoLancho Serrano, Alejandro2018-10-032018-10-032018-08-16IEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018, Vail, Colorado, USA. [Proceedings], 5 p.978-1-5386-4780-62157-8117https://hdl.handle.net/10016/27525We propose a saddlepoint approximation of the error probability of a binary hypothesis test between two i.i.d. distributions. The approximation is accurate, simple to compute, and yields a unified analysis in different asymptotic regimes. The proposed formulation is used to efficiently compute the meta-converse lower bound for moderate block-lengths in several cases of interest.5application/pdfeng© 2018 IEEE.Error probabilityTestingRandom variablesAWGN channelsLaplace equationsGaussian distributionconference paperElectrónicaTelecomunicacionesopen access15IEEE International Symposium on Information Theory (ISIT 2018) [Proceedings]CC/0000027956