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Cognitive radio network is expected to use flexible radio frequency spectrum sharing techniques for achieving more efficient frequency spectrum usage.
In this article, the proposed schemes using frequency reuse in multi-cells have more efficient frequency utilization than the conventional scheme.
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This minimization of the respective error signal powers is in accordance with the sample-based normalized least-mean-square (NLMS) algorithm as shown here in the time domain or alternatively via the more efficient frequency-domain adaptive filter (FDAF) [49].
As an alternative to time-domain adaptive filters, frequency-domain and subband adaptive filters are frequently used as they enable more efficient and frequency-dependent filter updates [2, 21 25].
Among those are soft frequency reuse (SFR) [2] and a more efficient modified SFR MSFRR) frequency allocation scheme [3].
3. The proposed ST-VSG with self-tuning virtual inertia and virtual damping is analyzed in Sect. 4. The ST-VSG-based method is more efficient than the frequency droop method as well as the CP-VSG in attenuating frequency variations.
The iterative method using real modes is more efficient than direct frequency response method.
In this paper a new and more efficient algorithm for frequency measurement using pulse coincidence is introduced.
They usually provide more efficient splitting of frequency band into lower range for power input with high gain for performance, and higher range with small gain for robustness.
Replica exchange molecular dynamics (REMD) becomes more efficient as the frequency of swap between the temperatures is increased.
This is slightly more expensive in terms of bits than discarding the phase but improves the perceived quality and is much more efficient than separate frequency and phase transmission.
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