Effect of White-Noise Correction on Linear Predictive Coding
Tom Bäckström, Carlo Magi · IEEE Signal Processing Letters · 2007
White-noise correction is a technique used in speech coders using linear predictive coding (LPC). This technique generates an artificial noise-floor in order to avoid stability problems caused by numerical round-off errors. In this letter, we study the effect of white-noise correction on the roots of the LPC model. The results demonstrate in analytic form the relation between the noise floor level and the stability radius of the LPC model