Evaluation of feedback detection criteria

Acoustic feedbacks are a prominent and undesirable problem in amplified live-sound situations. There are some algorithms, that detect feedbacks automatically and try to eliminate these via notch filters. For the detection of the feedback frequencies several different approaches are available, which shall be implemented and evaluated.

Further going tasks of this thesis is on one hand an algorithm focussed on a faster detection time, to cancel feedbacks even before they are audible. On the other hand a comparison between the detection algorithms and a estimation of the feedback frequencies directly from the measured impulse response of the system (open loop detection).