Sentence examples for much lower computations from inspiring English sources

The simulation results show that our proposed 2D-MMDGD, even in case 4 scenario outperform GRMM, SIR, and SCSM + SIR methods while having much lower computations.

Although, the main goal of the CS problem is to reduce the sampling rate lower than the Nyquist criterion, here we mainly focused on achieving accurate estimates for target parameters with much lower computations.

In contrast, the proposed DTCTH achieves comparable accuracy with much lower computation.

However, utilizing blocking island to guide the search and bandwidth allocation, BHS achieves a much lower computation complexity.

The online algorithm iteratively optimizes the detection threshold and SAPA with sub-optimal performance, with much lower computation complexity.  .

Nevertheless, it has been found to be applicable to implement in real plants with much lower computation effort, easier state initialization and unrequired a priori knowledge of thermodynamics.

We compared two matching mechanisms for linear dependency checking, and found that the rank-based matching mechanism RB-Matching) can achieve slightly lower performechanism RB-Matchingrecane machieve mechanislightlyse-Matching) with much lower comperformanced comparedation overhead.

The transmit beampattern design is accomplished under special characteristics such as minimum integrated sidelobe level or special 3 dB beamwidth in azimuth and elevation with much lower computation time.

This feature enables to employ the parallel block inverse matrix algorithm which can achieve the same BER performance with much lower computation complexity as compared with that of the direct inverse matrix calculation [15].

In [15], the parallel block inverse matrix algorithm is proposed for the symmetric banded matrix which can calculate the inverse matrix as the same accuracy as that for the direct inverse matrix calculation with much lower computation complexity.

Part I of this work introduced efficient reduced-order five-dimensional (5D) stress and strain spaces that can be used to predict ratcheting and mean stress relaxation phenomena at a much lower computation cost than in traditional 6D formulations.