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- W2110168861 abstract "We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that are computed as data is forwarded to the sink along a given routing tree and develop a tree-based Karhunen-Loeve Transform (KLT) that is optimal in that it achieves maximum data de-correlation among this class of transforms. As an alternative to this KLT (which incurs communication overhead in order to learn second order data statistics), we propose a backward adaptive filter optimization algorithm for distributed wavelet transforms that i) achieves near optimal performance and ii) has no communication overhead in learning statistics." @default.
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- W2110168861 date "2009-04-01" @default.
- W2110168861 modified "2023-09-26" @default.
- W2110168861 title "Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks" @default.
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- W2110168861 doi "https://doi.org/10.1109/icassp.2009.4960061" @default.
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