Performing dimensionality reduction of nonstationary stochastic processes using perturbation analysis


In this paper, we propose strategies based on sensor selection. We have shown that sensor selection is a viable approach in the absence of reliable and detailed prior information by simply using the autocorrelation of the signals and its derivative. 


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