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Another disadvantage of the filter is the high computational cost when used as an iterative filter.
Also, this filter can be adjusted as an iterative filter or not.
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It uses an iterative filters strategy together with an adaptive, data-driven filter length selection to achieve the necessary decomposition.
Deno et al.[26] proposed an iterative filtering method for the process of detecting malicious recommendations.
Aiming at tracking visual objects under harsh conditions, such as partial occlusions, illumination changes, and appearance variations, this paper proposes an iterative particle filter incorporated with an adaptive region-wise linear subspace (RWLS) representation of objects.
Considering vessel segmentation as an iterative tracking process, we propose a new Bayesian tracking algorithm based on particle filters for the delineation of coronary arteries from 3D computed tomography angiograms.
The obtained values are again fitted with an iterative Savitzky-Golay filter (filter length: 6 A-scans, polynomial order 3).
The analysis developed as an iterative, cyclical, and reflexive process.
Data collection and analysis proceeded as an iterative process.
Collaboration can be seen as an iterative process.
As an iterative procedure, the EM algorithm requires initial values.
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