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- W2725033853 abstract "Wireless sensor networks, including wireless acoustic sensor networks, have found applications in diverse areas including hearing aids, hands-free telephony, and target tracking. The objective of this brief is to introduce a new sparsity regularization parameter in sparse distributed network estimation, to achieve a better estimation accuracy in comparison with existing sparse-aware algorithms. In order to further reduce the computational complexity, the algorithm has also been designed for heterogeneous sensor networks, where only a fraction of the sensor nodes use sparse-aware adaptive estimation schemes." @default.
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- W2725033853 date "2018-03-01" @default.
- W2725033853 modified "2023-09-23" @default.
- W2725033853 title "Polynomial Sparse Adaptive Estimation in Distributed Networks" @default.
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- W2725033853 doi "https://doi.org/10.1109/tcsii.2017.2720181" @default.
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