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Linear Predictive coding vs AR modeling
I'm looking for a suitable explanation of the circumstances in which the LPC error polynomial for a discrete time process x[n] is replaceable with an error polynomial categorized under the AR model? … I found this book which states that LPC reduces to AR if the error becomes predominantly white noise(i.e by increasing the number of previous samples in the summation on the RHS of the prediction error …