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Compressive sensing (CS) is a burgeoning technique being applied to diverse areas including wireless sensor networks (WSNs). In WSNs, it has been applied in the context of data gathering and aggregation, particularly aimed at reducing data transmission cost and improving power efficiency. Existing CS-based data gathering work in WSNs utilize the property that under certain conditions, only O(K log...
Nonuniform Discrete Fourier Transform (NDFT) has been well-investigated for performing fast computation of the frequency content of nonequispaced data samples. This nonuniform formulation is also well-suited for Fourier analysis of data samples collected in randomly deployed wireless sensors. However, most of the existing NDFT formulations employ global communication patterns and thus are inefficient...
Reduced execution time and increased power efficiency are important objectives in the distributed execution of collaborative signal processing tasks over wireless sensor networks. The power-efficient implementation of the Fourier transform computation is an exemplar of distributed data communication and processing task widely used in the signal processing field. Past work has presented some energy-efficient...
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