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Similar to the application of FFT to perform a DFT, NFFT is an accelerated algorithm for computing the NDFT by reducing the computational complexity to O(MlogM) [ 12].
The results show that FEMOEA-Paral is able to maintain the effectiveness of the sequential version and this by reducing the computational costs.
In general terms, it was demonstrated that the BPF outperforms the APF, GPF, and the PBPF methods by reducing the computational time to find the optimal path at least by a factor of 1.59.
The authors of [18] improve the algorithm proposed in [16, 17] by reducing the computational complexity and making the recognition procedure faster.
The corresponding VLSI architecture is proposed to achieve significant power efficiency by reducing the computational complexity, using pipeline and parallel processing, and applying the supply voltage scaling technique.
Systematic encoding which is represented in Eq. (4), enables efficient information processing by reducing the computational complexity at the decoder and encoder side.
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This approach improves the filter performance by significantly reducing the computational complexity and response time.
Additionally, this method has also proved computationally efficient by greatly reducing the computational cost and can be easily adopted in the analysis of HTS data for other biological systems.
Additionally, this method has also proved computationally efficient by greatly reducing the computational cost and can be easily adopted in the analysis and interpretation of HTS data for other biological systems.
With these new AFE chips, only delay alignment and phase rotation need to be performed by DSP, substantially reducing the computational load.
Further, the simulation results show that by designing an efficient tree structure, depending on the picture content, the performance of a video coder can be improved by up to 2.0 dB, while reducing the computational complexity by 45 60% as well as the memory requirements by almost 29 35%.
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