Digital Linear Systems
Manuel Servı́n, J. Antonio Quiroga, J. Moisés Padilla · 2014
This chapter reviews the theory behind linear systems theory in the Z and the frequency domain, and briefly introduces its application to quadrature filters for phase estimation. This chapter covers most of the digital signal analysis background used as theoretical basis for the rest of the book. Also, in this chapter an introduction to the theory of stochastic process as applied to linear systems is given to be used in the rest of the book. One important application of stochastic processes to linear systems is to find the signal-to-noise power ratio of any phase-shifting algorithm when interferograms are corrupted by additive white-Gaussian noise.