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Classical approaches, such as the nearest neighbor (NN) [2], the joint probabilistic data association filter (JPDA) [3], and multi-hypothesis tracking (MHT) [4], are based on the framework of filter and data association.
Photon emission was captured by time-correlated single photon counting with a 755 nm long pass filter and data were recorded as temporal point spread functions.
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Genes were filtered, and data were normalized.
ECL includes extensive capabilities for data definition, filtering and data transformations.
The flickermeter channel consists of a series of filters and data processing blocks.
In [6], Zhang et al. present an edge-guided interpolation algorithm through directional filtering and data fusion.
For filtering and data association algorithms, the state estimation method is used for modeling the dynamic system of visual tracking.
The data acquisition system of the detector takes care of the digitisation of the photo-multiplier tube signals, data transport, data filtering, and data storage.
To overcome difficulties associated with the overlap, the OH and fuel fluorescence signals were partially separated by using two cameras with differing spectral filters and data acquisition timing.
A halogen light source, two detector arrays, two linear variable filters, and data acquisition cards with 16-bit analog-to-digital converters were used to collect data.
The two main types of visual tracking algorithms are target representation and localization algorithms and filtering and data association algorithms [1].
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CEO of Professional Science Editing for Scientists @ prosciediting.com