Professor Montana State University - Electrical & Computer Engineering Department Bozeman, Montana, United States
Using impulse responses measured from various audio systems has become common in audio signal processing. However, determining the length of an impulse response captured from a nonlinear system becomes problematic, as these systems violate the linearity principle from signals and systems theory. A “lumpy” or “spiky” tail in the measured impulse response of a nonlinear system is a tell-tale symptom of this issue. In this in-progress work, we investigate the use of time-delayed mutual information (TDMI), a concept from the field of information theory, to distinguish the impulse response from measurement noise. Initial test systems include linear, time-invariant FIR and IIR filters with and without a static nonlinearity element.