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Figure 3 shows a comparison of the mean square error MSE behavior for different algorithms from the LMS family (i.e., NLMS, FXLMS, FeLMS, MFXLMS), the NLMF, and our proposed ones.
Using a larger step size μ may lead the algorithm to diverge. Figure 4 shows a comparison of the mean square error MSE behavior for different algorithms with fixed step size but this time for low SNR with a value of 5 dB.
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Table 3 Processing times for different algorithms.
Fig. 8 ARR versus different SNRs for different algorithms.
Hence it is adequate to look for exact methods in solving (RKP) and it is interesting to compare the behavior of different algorithms.
Figure7 reports the performance behavior of these different algorithms.
Figure 4 Algorithm convergence behavior for different initialization points.
To numerically model the above phase change behavior, there exist several different algorithms so far.
Alignment methods may show different behaviors for different protein types.
The objective is to analyze the performance of the different algorithms for the design of behaviors in mobile robotics, and to extract some general rules that can help in the process to design new behaviors.
Apple has a different catalog of music and (hopefully) different algorithms for selecting music for a radio station.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com