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Meanwhile, the sparseness controlled RPAPA (SC-RPAPA) is presented to improve the performance for both sparse and dispersive system identification.
It has been shown that the IPMDF algorithm outperforms the MDF and IPNLMS algorithms for both sparse and dispersive echo path impulse responses.
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The resulting algorithms attain an attractive faster converge for both situations of sparse and dispersive channels while decreasing the average computational complexity due to the data discerning feature of the SMF approach.
The IPNLMS and IPAPA algorithms perform very well for both sparse and non-sparse systems.
Both sparse and full optimal preamble designs were addressed.
The results demonstrate that RECRA is effective for both sparse and dense networks.
It has been shown that the OMP algorithm is robust in recovering both sparse and near-sparse signals [13] with O(nmK) complexity [1].
The literature is both sparse and inconsistent in its description of age differences in the characteristics of constipation.
Therefore, data were pooled across experimental sessions during the analysis of both sparse and continuous data.
Specifically regarding back problems, however, the literature is both sparse and conflicting [ 9- 11].
When both nonlinearity and dispersive effects are positive, the KdV equation may result in a compressive soliton.
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