2016
DOI: 10.1007/s11042-015-3216-y
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Robust image transmission over powerline channel with impulse noise

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Cited by 16 publications
(6 citation statements)
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“…Second, the selection of the optimal phase factor in the PTS has extremely high computational complexity. The search space of minimum PAPR increases exponentially with the number of partial sequences, and the simple utilization of the exhaustive method becomes infeasible (Satyendra Singh et al, 2015;Yassine and Abdelkrim, 2017;Li et al, 2023). Finally, signal blanking relying on a single threshold is less effective to deal with the scenario where low-amplitude impulse noise coexists with high-amplitude noise.…”
Section: Shimentioning
confidence: 99%
“…Second, the selection of the optimal phase factor in the PTS has extremely high computational complexity. The search space of minimum PAPR increases exponentially with the number of partial sequences, and the simple utilization of the exhaustive method becomes infeasible (Satyendra Singh et al, 2015;Yassine and Abdelkrim, 2017;Li et al, 2023). Finally, signal blanking relying on a single threshold is less effective to deal with the scenario where low-amplitude impulse noise coexists with high-amplitude noise.…”
Section: Shimentioning
confidence: 99%
“…In practice, watershed is often applied to image gradient [14], and watershed lines are used to separate uniform regions, thus giving the expected segmentation results [15]. Morphological gradients are usually used to obtain transformed gradient images.…”
Section: Related Workmentioning
confidence: 99%
“…To analyse the impact of IN on a PLC system, this study models the asynchronous IN i k as a BG random process [18]. It is given as…”
Section: System Noise Modelmentioning
confidence: 99%
“…To analyse the impact of IN on a PLC system, this study models the asynchronous IN ik as a BG random process [18]. It is given asik=bkgk,1emk=0,1,2,,N1,where gk is a complex white Gaussian noise with zero mean and 2σi2 variance and bk is the real Bernoulli process with probability mass functionPnormalrfalse(bkfalse)={1em4ptp,1embk=1,1p,1embk=0,1emk=0,1,2,,N1,where p is the probability of occurrence of IN.…”
Section: System Noise Modelmentioning
confidence: 99%