Sentence examples for both performance and complexity from inspiring English sources

In the next section, we study both performance and complexity of our joint estimator.

The two algorithms were compared in terms of both performance and complexity.

Compared with traditional binary classifiers, as will be shown later, the proposed classifier is competitive in both performance and complexity.

Although this approach allows the decoder to operate in full pipeline with no idle cycles, it is actually suboptimal in terms of both performance and complexity.

In this study, we choose the fast wavelet transform (FWT) algorithm in order to perform the coarse sensing stage and compare its performance against the fast Fourier transform (FFT -based coarse detection in terms oFFT -basedformancoarse complexity.

The challenges associated with the proposed algorithm are mentioned as well as a comparison with FFT-based coarse detection in terms of both performance and complexity has been introduced.

Moreover, taking into account both performance and numerical complexity, CCA and CoM2 [8] were shown to be the best choice of BSS method for removing muscle artefacts from epileptic EEG [9].

The proposed blind sequential detection algorithm, which combines stack-based sequential detection with channel sparsity estimation using the MA, is described in Section 4. In Section 5, the proposed approach is compared to conventional joint channel estimation and data detection methods that use MP, OMP, and BP with respect to both performance and computational complexity.

The advantages of this proposed method is explored and stated, both from performance and complexity perspectives, through rigorous comparison with alternative available solutions.

However, detection of spatially multiplexed MIMO streams plays a key role in receiver design both in terms of performance and complexity [1] and has remained an active area of research.

A trade-off between performance and complexity for both decoding algorithms is established in this section.