Thomas C. Jannett

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Estimation of target position from multi-frame binary data provided by a wireless sensor network (WSN) can be done by optimizing a complex multimodal likelihood function. Deterministic quasi Newton-Raphson (QNR) schemes with line search are typically used for optimization in maximum likelihood estimation. However, these methods often find a local minimum,(More)
Available resources limit the performance and lifetime of a wireless sensor network. In order to increase network lifetime in the face of depleting resources, networks that can be reconfigured to meet specified performance criteria are of interest. For a target localization scenario using binary sensor data, we present an approach in which network(More)
Electrocardiogram (ECG) is the recording of electrical activity of the heart. Accurate measurement of ECG parameters is an important requirement of ECG analysis, particularly if the results are to be used for clinical purposes. Most automatic ECG diagnosis techniques require an accurate detection of the QRS complex. Almost all the analysis methods use the(More)
ECG is a very important tool for cardiac health status measurement and detection of various diseases at their early stage. Thus, it will be helpful in providing such analysis on the move using a mobile device. The basic aim for such implementation would be an accurate, efficient yet light-weighted algorithm that is simple to implement on mobile. With a lot(More)
This paper describes a localized performance-guided reconfiguration (PGR) algorithm for reconfiguring a distributed sensor network in a target localization scenario using binary sensor data. PGR works by activating redundant sensors available to replace failed sensors based on the improvement in target localization performance offered. Localized application(More)