Deconvolution is used in 1 pointAuto-correlationSystem realizationCross-correlationSystem identification

Deconvolution is used in System Identification.

Here's a step-by-step explanation:

1. System Identification: This is the process of building mathematical models of dynamic systems from measured data. Deconvolution is used in this process to estimate the input from the output for known systems.

2. Auto-correlation: This is a mathematical representation of the degree of similarity between a given time series and a lagged version of itself over successive time intervals. Deconvolution is not typically used in this process.

3. Cross-correlation: This is a measure of similarity of two series as a function of the displacement of one relative to the other. Deconvolution is not typically used in this process.

4. System Realization: This is a method for constructing a state space model from the system's transfer function representation. Deconvolution is not typically used in this process.