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Cited by 9 publications
(8 citation statements)
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“…As readily seen in Figures 4(a) and 4(b), for the noncoded IR-UWBoF systems, spectral lines appear in the PSDs at multiples of 1 GHz for both probabilities. This was expected, as it is known that for nonperfectly random (i.e., p 0 6 ¼ 1=2) data streams, y l , the binary PPM and BPM IR-UWB signals will show strong spectral lines in the PSD (see [1,11]). Furthermore, note that for B2B and 20-km SMF configurations the PSDs are not compliant with the FCC regulation.…”
Section: Resultsmentioning
confidence: 79%
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“…As readily seen in Figures 4(a) and 4(b), for the noncoded IR-UWBoF systems, spectral lines appear in the PSDs at multiples of 1 GHz for both probabilities. This was expected, as it is known that for nonperfectly random (i.e., p 0 6 ¼ 1=2) data streams, y l , the binary PPM and BPM IR-UWB signals will show strong spectral lines in the PSD (see [1,11]). Furthermore, note that for B2B and 20-km SMF configurations the PSDs are not compliant with the FCC regulation.…”
Section: Resultsmentioning
confidence: 79%
“…As previously mentioned, one of the main constraints when designing UWB systems is compliance with spectral masks [11]. Thus, several previous studies dealing with IR-UWBoF systems usually report measured and/or analytical PSDs for the analyzed IR-UWBoF signals [4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
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“…It is also assumed that Z n , I n , θ n , ξ n,k , a n,k , and c n,k are mutually independent of each other. The spectral analysis presented in this paper for correlated unbalanced or balanced data sources is based on the state-transition diagram model, which can be interpreted as a Moore finite-state sequential machine (FSSM) and its corresponding Markov chain (MC) model as outlined in [11,19,20]. In other words, signal generation process can be represented by a Moore-Markov model which can be straightforwardly used for the spectral analysis of systems where the PAM and the PPM data streams, (I n ,θ n ), are correlated.…”
Section: Signal and System Modelsmentioning
confidence: 99%
“…Thus, after using simplification, W I CBDM is formulated mathematically as (13). Now, according to the property of a regular ergodic MC, the γ'th-step transition probabilities P γ ij converges to the steady-state probabilities π i [11,19,20] (14). Substituting Eqs.…”
Section: Correlated Data Streammentioning
confidence: 99%