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However, since we cannot make QM methods much faster, the only option is to make MM smarter.
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This makes our method much faster than MSVAR, which is dependent on the number of markers.
Filter methods are much faster than wrapper methods and therefore are better suited to high dimensional data sets [ 30].
Because this method will track the target according to the rate of increasing gradient; therefore in comparison to the template matching method, this method is much faster and requires less computational amount, because ignores blindly searching [36].
Yet, it is displayed that the convergence rate of present methods is much faster than that of the Haar wavelet method.
Simple correlation methods such as Pearson correlation are as accurate as much more complex methods, yet much faster and parameterless.
Simulation results show that in the presence of measurement noise, the ITD method and the SSI method have similar good performance, but the ITD method is much faster than the SSI method; and when there exit both ring-down signals and ambient noise signals (ring-downs contaminated by ambient noise), the ITD method performs better than the SSI method does.
Consequently, we confirmed that the proposed method was much faster than existing methods and, with respect to recognition accuracy, no worse than existing methods.
Moreover, our method is much faster than these methods.
It must be noted that our method is much faster than these methods.
It turns out that the phase-based sampling methods converge much faster to the asymptotic performance, which is defined as the performance for.
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