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Signal Enhancement Algorithm for On-line Detection of Multi-metal Ions Based on Ultraviolet-visible Spectroscopy
2020
IEEE Access
In zinc hydrometallurgy, the traditional multi-metal ion detection method is manual off-line detection, which is cumbersome and has a long detection period. In order to realize simple, real-time, and accurate on-line detection, an adaptive signal enhancement algorithm combined with partial least squares regression is proposed for on-line detection of multi-metal ions by Ultraviolet-visible spectroscopy. First, according to the different scale characteristics of signal and noise in wavelet
doi:10.1109/access.2020.2967021
fatcat:pk55bvmx4jeo7iih6jnezt5bfy