Exact(14)
The impact of imperfect spectral sensing problems is beyond the scope of our consideration.
Therefore, controlling is a big challenge for the micro-nanorobot owing to the modeling and sensing problems.
Many emerging frame theories and compressed sensing problems involve estimating the singular values of a combinatorially large number of submatrices.
With the emerging fly-by-light concept, the fibre optic probe solves many sensing problems in aircrafts.
(iii) Finally, Markovian-based models are so versatile that they could be exploited to tackle spectrum sensing problems in different parts of open systems interconnection (OSI) reference.
It is believed that solving the target detection through foliage environment will significantly benefit sense-through-wall and many other subsurface sensing problems.
Similar(46)
The spectrum sensing problem is now casted as a change point f ν detection problem.
Secondly, multipath fading and time dispersion of the wireless channels complicate the sensing problem.
Too high sampling rate can cause immense computational costs and sensing problem.
To formulate the compressed sensing problem, we need to use a large, but finite, dictionary.
Hence [14] models the spectrum sensing problem as a noncooperative game.
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