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Computer-aided knee joint vibration signal analysis using the signal processing and machine learning algorithms possesses high potential for the noninvasive detection of articular cartilage degeneration, which helps reduce the frequency of surgical diagnoses. Removal of random noise in knee joint vibration signals is an essential procedure anterior to diagnostic analysis. This paper presents an adaptive...
This paper presents an adaptive edge-preserving filter (AEPF) to remove the pixel cross-talk phenomenon of CMOS image sensor. As is widely known, the pixel crosstalk is due to the optical, electrical and architectural interferences and leads to the blocky formation after color interpolation. Although the conventional algorithms can eliminate the blocky formation, the edge false colors are also induced...
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