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.