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The theoretical analysis indicates the proposed algorithm has better time complexity degree compared with other similar algorithms.
SubXPCA not only has better time performance but is also superior in its summarization of variance as compared to SubPCA.
However, as it is based on the continuous wavelet transform, its time-frequency representation (TFR) has better time but worse frequency resolution in higher frequency region, while worse time but better frequency resolution in lower frequency region.
Compared with the Yan's O(n2.38) optimal algorithm [5], it is proved that our proposed optimal algorithm has better time complexity in O(n2) time and the experimental results show that our proposed algorithm reduces 46.5% of CPU time for eight tested examples on the average.
Obviously, this model has better time and space performance than the previous agent-based version.
It is because the SRRC pulse with higher RO factor has better time domain localization.
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Even though the ST has better time-frequency resolution compared to STFT, the resolution is far from perfect and needs improvement.
The GH method has better gene-profile accuracy than KNN, while KNN has better time-profile accuracy.
The Recurrent Neural Network (RNN), having better time tracking capability, provides a viable alternative with certain challenges.
The Hybrid based Digital Pulse Width Modulation seems to have better time transient response than the Delay line based Digital Pulse Width Modulation.
Younger surgeons, although initially slower, later proved to have better time savings (Table 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com