Results of noise filtering show that the design of the multi-level filtering process is effective to identify background noise and preserve signal photons in the raw data.
This metric called WLF-DEE consists of two key features: a multi-level filtering based on the work on contrast from Tadmor and Tolhurst [4] and the new Euclidean color difference formula in log-compressed OSA-UCS space proposed by Oleari et al. [5].
Candidates identified from the comparison of follicular tissues from the microarray were selected using a multi-level filtering system.
After multi-level filtering and analysis, all the dynamic information for the three pre-defined populations, CHB, CHS, and CHN, was organized in 129 database tables.
By combining prediction results from different classifiers in a multi-level filtering process, prioritized sets of 7TMR candidates can be obtained for further investigation.
By combining prediction results from various classifiers including alignment-based and alignment-free classifiers as well as transmembrane prediction methods in a multi-level filtering process, prioritized sets of 7TMR candidates can be obtained for further investigation.
Our algorithm first implements a multi-level noise filtering approach to minimize noise photons and subsequently classifies the remaining photons into ground and top of canopy using an overlapping moving window method and cubic spline interpolation.
After introducing the improvements of color difference formulae in Section 2 and image difference metrics in Section 3, we present our proposal in Section 4. We propose a new image difference metrics based on multi-level contrast filtering using the difference of Gaussians (DOG) model proposed by Tadmor and Tolhurst [4].
There's a multi level marketing approach, too.
Inspired by adaptive median filter methodology, this paper proposes a multi-level adaptive switching filter (MASF) for the recovery of highly corrupted images.
Subject to the limited signal power, number and bandwidth of the parallel channels, a differential pulse code modulation (DPCM -like structure is aDPCM -likegenerate the quantized innovationstructuretransmisted signadoptedd toe multi-level quantized Kalman filter (MLQ-KF) is used to serve as the pre- and post-filters.
