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Grimshaw (1999) and Grol (2001) have already proposed the complexity of the variables involved in the transferral of knowledge into clinical practice [ 7, 8].
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Among the methods introduced to implement GFDM receivers, authors in [18] proposed the lowest complexity modem for GFDM zero-forcing and matched filter receivers.
Ma et al. [2] proposed modeling the complexity of video frames by analyzing the individual module units of video decoders using an appropriate complexity model proposed by [5, 6], which adds a complexity profiler to video decoders.
In [12], a complete OFDMA detection scheme is proposed, but the complexity of the calculations makes impossible its practical hardware implementation.
We propose the low-complexity VFF-DRLS algorithms for distributed estimation in sensor networks.
Therefore, in this subsection, we propose the low-complexity analog beam selection algorithm by considering the sum rate of the uplink two-user hybrid beamforming system.
Our main contributions are summarized as follows: 1) We propose the low-complexity VFF-DRLS algorithms for distributed estimation in sensor networks.
This section proposes reducing the complexity of finding the optimal solution to the maximum-delay reduction problem.
Furthermore, the simulation results also reveal that the performance of the proposed low complexity iterative algorithm is comparable with that of the exhaustive search scheme.
In the decoding, the proposed computational complexity is much lower (better) than that of DISCOVER, which uses a high complexity error correction decoding.
It is worth mentioning that the proposed low complexity signal processing complements the work in [4] because the requirement for block alignment is loosened.
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