id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ufcw2a7d5rfhvjyra7j3cl3ejq	V.D. Lima	A wavelet-based expert system for digital subscriber line topology identification	2014	17	.pdf	application/pdf	9494	1069	72	This work proposes a new method for automatically identifying topologies of lines with one or more sections of line makeup (serial or bridge tap), the lengths of the line sections, and the corresponding cable type, pre-processing, S11.f / is analyzed in time domain, where important extracted features are interpreted through a system based on Bayesian networks for estimating the line topology. expert system proposed for automatically interpreting the signal features and obtaining an estimate of the line topology. Thus, the method was structured into three algorithms that estimate sequentially and, respectively, the following sets defined from the model established in Section 2 for the topology of a In order to evaluate the proposed wavelet-based expert system (WES) for line topology identification, a test set composed of measurements in twisted-pair copper cables was created . WES, wavelet-based expert system; SELT-tdr, single-ended line testing-time domain reflectometry.	./cache/work_ufcw2a7d5rfhvjyra7j3cl3ejq.pdf	./txt/work_ufcw2a7d5rfhvjyra7j3cl3ejq.txt