Multiscale denoising with linear steady-state models

5 Multiscale denoising with linear steady-state models 

The data obtained from many processes are multivariate in nature, and have an empirical or theoretical model that relates the variables. Such measurements can be denoised by minimizing a selected objective function subject to the process model as the constraint. This approach has been very popular in the chemical and minerals processing industries under the name data rectification, and in electrical, mechnical and aeronautical fields under the names estimation or filtering. In this chapter all the model-based denoising methods are referred to as data rectification. 

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