NESL Technical Report #: 2009-5-3
Compressive Sensing (CS) is a recently developed mechanism that allows signal acquisition and compression to be performed in one inexpensive step so that the sampling process itself produces a compressed version of the signal. This significantly improves systemic energy efficiency because the average sampling rate can be considerably reduced and explicit compression eliminated.
In this paper, we introduce a modiﬁcation to the canonical CS recovery technique that enables even higher gains for event detection applications. We show a practical implementation of this compressive detection with energy constrained wireless sensor nodes and quantify the gains accrued through simulation and experimentation.
Publication Forum: Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED)
Page (Start): 419
Page (End): 424
Page (Count): 6
Place: San Francisco, CA
Public Document?: Yes
NESL Document?: Yes
Document category: Conference Paper