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This is because these algorithms do not explicitly incorporate the WiMAX QoS parameters into their mechanisms and are highly static.
However, because these algorithms do not consider the presence of the broadband disturbances at the reference sensor, the degradation of the steady-state performance of the algorithms is inevitable.
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These algorithms don't always get it right.
But these algorithms do not allow the overlaps between clusters.
Most of these algorithms do not include inflammation.
These algorithms did not yield good results when applied to coronary angiography images because of complex nonrigid motions that exist in this type of angiography images.
This is because both algorithms do not contain random factors; hence, the same results are reached in each run.
It can also be applied with the conventional fast algorithms of other types such as search range adaptation and early mode determination, because the proposed algorithms do not theoretically overlap with the conventional fast algorithms.
Because the previous algorithms do not consider the presence of the broadband disturbance at the reference channel, their steady-state MSEs are higher than that of the proposed GAL narrowband ANC system.
This is because filter FSS algorithms do not depend on the classification method to obtain the subset of features.
Second, because many published algorithms do not include losses in the optimization criterion (e.g., Berglund et al., 2006; Ma et al., 2000; Tofigh et al., 2011; Zmasek and Eddy, 2001), we compared models with losses (DTLI, DTL) and without losses (DTI, DT).
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Justyna Jupowicz-Kozak
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