A Mixing and Separation Method of Signals + Color Images Based on Two-Dimensional CCA
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)(2021)
摘要
Blind Source Separation (BSS) is a traditional and challenging problem in signal processing, in which the mixed signals can be separated according to the independence of source signals. The one-dimensional CCA-based signal and color image mixing and separation method needs to reshape the image into vector data, which destroys the spatial structure of the image and affects the recovery effect of th...
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关键词
Correlation,Conferences,Color,Machine learning,Signal processing,Blind source separation,Pattern recognition
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