Weighted l-1 Minimization for Event Detection in Sensor Networks

Event detection is an important application of wireless sensor networks. When the event signature is sparse in a known domain, mechanisms from the emerging area of Compressed Sensing (CS) can be applied for estimation with average measurement rates far lower than the Nyquist requirement. A recently...

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Bibliographische Detailangaben
Hauptverfasser:	Charbiwala, Zainul, Kin, Younghun, Zahedi, Sadaf, Balani, Rahul, Srivastava, Mani B
Format:	Report
Sprache:	eng
Schlagworte:	ALGORITHMS ANOMALIES BP(BASIS PURSUIT) CS(COMPRESSED SENSING) DETECTION DETECTION PROBABILITIES EVENT DETECTION FOURIER DOMAIN Miscellaneous Detection and Detectors MONITORING Operations Research PTT(PRECOMPUTED THRESHOLD TESTING) SIGNAL RECONSTRUCTION SPARSE SIGNALS WEIGHTING FUNCTIONS WSN(WIRELESS SENSOR NETWORKS) WTA(WINNER TAKES ALL) STRATEGIES
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