Array processing: Difference between revisions

Revision as of 23:06, 16 December 2019

Revision as of 05:17, 19 May 2020

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{{distinguish|Array processor|Array data structure}}

{{more footnotes|date=November 2012}}

'''Array processing''' is a wide area of research in the field of [[signal processing]] that extends from the simplest form of 1 dimensional line arrays to 2 and 3 dimensional array geometries. Array structure can be defined as a set of sensors that are spatially separated, e.g. [[antenna (radio)|radio antenna]] and [[Seismic array|seimicseismic arrays]]. The sensors used for a specific problem may vary widely, for example [[microphone]]s, [[accelerometer]]s and [[telescope]]s. However, many similarities exist, the most fundamental of which may be an assumption of [[wave propagation]]. Wave propagation means there is a systemic relationship between the signal received on spatially separated sensors. By creating a physical model of the wave propagation, or in [[machine learning]] applications a [[training data]] set, the relationships between the signals received on spatially separated sensors can be leveraged for many applications.

Some common problem that are solved with array processing techniques are: