@article{(Open Science Index):https://publications.waset.org/pdf/3558,
	  title     = { Independent Component Analysis to Mass Spectra of Aluminium Sulphate },
	  author    = {M. Heikkinen and  A. Sarpola and  H. Hellman and  J. Rämö and  Y. Hiltunen},
	  country	= {},
	  institution	= {},
	  abstract     = {Independent component analysis (ICA) is a computational method for finding underlying signals or components from multivariate statistical data. The ICA method has been successfully applied in many fields, e.g. in vision research, brain imaging, geological signals and telecommunications. In this paper, we apply the ICA method to an analysis of mass spectra of oligomeric species emerged from aluminium sulphate. Mass spectra are typically complex, because they are linear combinations of spectra from different types of oligomeric species. The results show that ICA can decomposite the spectral components for useful information. This information is essential in developing coagulation phases of water treatment processes.
},
	    journal   = {International Journal of Information and Communication Engineering},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {7 - 11},
	  ee        = {https://publications.waset.org/pdf/3558},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}