Sentence examples for both the proposed algorithm from inspiring English sources

Figure 1 compares the fastest convergence characteristics of both the proposed algorithm and the NLMS algorithm.

It is shown that from both the proposed algorithm and the RCRB that the angle estimation performances vary little with the target range.

Two performance indicators, root mean square error (RMSE) and computational cost, are discussed for both the proposed algorithm and the reference algorithms in this section.

The rate loss of both the proposed algorithm and MT is independent of the distance of D2D users and the number of D2D pairs.

From Fig. 13, it can be seen that both the proposed algorithm and the existing technique of Luo et al. [7], have high reliability initially, then the reliability is seen decreasing as number of tampered node increase.

Experimental results show that both the proposed algorithms to compute TMs and inverse Tchebichef moments (ITMs) perform better than existing methods in term of computation speed.

Also notice that n ≥ 4 is required for both the proposed algorithms.

Measurement results show excellent linearisation capabilities of both the proposed algorithms in terms of adjacent channel power suppression.

In 'Methods' section, we present our algorithms as well as the theoretical analysis of both the proposed algorithms and the MK CP problem.

Since both the proposed algorithms make use of the sequential minimum MSE estimation, they monotonically decrease the MSE of the estimation and converge to a stationary point.

Both the proposed algorithms remain functional in the presence of TH codes, unknown channel, and distortion due to Tx/Rx antennas.