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Several possible methods to solve these problems are proposed, for example, conceived solutions, hybrid nanostructures, multiple sensor arrays, and new recognition algorithm.
Based on the technology of microelectromechanical systems, multiple sensor arrays, in which every unit has different heterostructure and shows different sensing characteristics, can be assembled and expected to have higher sensitivity and improved selectivity.
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The estimation of the directions of arrival (DoA) of multiple sources using sensor arrays is an old problem and plays a key role in array signal processing.
Over the past decades, PARAFAC ideas have been applied in multiple-invariance sensor array processing with emphasis on identifiability results [18].
In fact, if you have a 4G smartphone, you are probably using a multiple-input-multiple-output (MIMO) sensor array!
The proposed design method considers multiple criteria simultaneously for the evaluation of sensor arrays, and a multiple objective tabu search algorithm was adapted to search for a number of Pareto optimum array designs in terms of those criteria.
Although wearing three or more sensors is impractical with current technology, sensor arrays with multiple sensing units contained in one device may be available in the future.
Therefore, to obtain meaningful infrasound signals associated with a volcanic source, a high-quality noise reduction system, such as multiple sensors in an array, is required (e.g., Ripepe and Marchetti 2002; Garcés et al. 2003).
Currently I am studying theoretical characteristics of the sensitivity of MEG and EEG sensor arrays and the cancellation of signals when multiple brain areas are active simultaneously.
Although technology, including sensor arrays, is available for combined monitoring of multiple catecholamines, design of sensor solution interfaces for determination of the selectivity and sensitivity of sensors awaits further improvement.
The benefits of the sensor arrays come from the possibility of simultaneous detection of multiple targets (the capability of high-throughout analysis of complex samples).
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