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Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study.
wave-domain adaptive filtering.
generalized frequency-domain adaptive filtering.
This method enhances both masses and microcalcifications. (iii) Adaptive Filtering.
From the simulation results, we can observe that the local misregistration heavily affects the interferograms obtained by pivoting mean filtering, pivoting median filtering, adaptive phase noise filtering, and adaptive contoured window filtering.
Comparing Figures 5, 6, and 7, we can observe that the large coregistration error heavily affects the interferograms obtained by pivoting mean filtering, pivoting median filtering, adaptive phase noise filtering, and adaptive contoured window filtering.
Interferograms obtained by (a) pivoting mean filtering, (b) pivoting median filtering, (c) adaptive phase noise filtering, (d) adaptive contoured window filtering, and (e) the proposed method.
Adaptive Filters for Continuous Queries over Distributed Data Streams.
Adaptive Filters.
Adaptive Filter-Based Methods: Sync Filter, LMS.
Based on the pre-detection, an adaptive median filter is designed, which adaptively determines the size of the filtering window according to the estimated global noise density and the degree of local corruption.
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