I've read that the reflection coefficients in speech processing (as computed by the Levinson-Durbin algorithm for solving the Yule-Walker equations) "represent the fraction of energy reflected back" at each tube junction, assuming the speaker's vocal tract is modeled as a series of uniform lossless acoustic tubes (see Figure 1). Now, I've seen that statement from multiple PDFs online, but did not see it mentioned in my textbook (Rabiner, Schafer - Digital Processing of Speech Signals).
Does this mean we can do autoregressive modeling of electrical transmission lines as well? In other words, does a series of lossless transmission lines form an all-pole filter whose (magnitude) reflection coefficients (one for each junction) and linear-prediction coefficients can be estimated by inputting white noise to the system and then analyzing the output with the Levinson-Durbin algorithm? (Figure 2.)
Figure 1. Approximating a non-uniform acoustic tube using a series of short tubes of uniform cross-section. (Source: Rabiner, Schafer - Digital Processing of Speech Signals p.83.)
Figure 2. A series of lossless transmission lines. (Source: Pozar - Microwave Engineering 4th Ed. p.251.)