METHOD OF REMOVING INCOHERENT NOISE

Noise is removed from a data set by performing an integral transform operation that converts instances of noise into identifiable artefacts in the transformed data set. A model of the artefacts is constructed by creating a full-domain or partial-domain noise model and performing the same integral tr...

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Bibliographische Detailangaben
1. Verfasser:	VAN BORSELEN ROALD GUNNAR
Format:	Patent
Sprache:	eng
Schlagworte:	BASIC ELECTRONIC CIRCUITRY DETECTING MASSES OR OBJECTS ELECTRICITY GEOPHYSICS GRAVITATIONAL MEASUREMENTS IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS MEASURING PHYSICS RESONATORS TESTING
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Beschreibung
Zusammenfassung:	Noise is removed from a data set by performing an integral transform operation that converts instances of noise into identifiable artefacts in the transformed data set. A model of the artefacts is constructed by creating a full-domain or partial-domain noise model and performing the same integral transform operation on the noise model. The resulting transformation of the noise model is adaptively subtracted from the transformed data set to remove the noise. The adaptive subtraction may employ a least-square error filter.