How can I detect If an audio signal is overloaded/clipped?

[ajcoyote]

I'm looking for a simple way of detecting, in post-processing, when an audio signal has been clipped (aka overloaded). I'd also like to know what part of the signal was overloaded. Thanks for any help,

~Aaron

[Britoa]

there is a good chance the clipping will create a mess of the frequency spectrum, so you could look for any problems there.

[mishklyar]

Overloading/cliping will add ALL frequencies,it's something like delta function.For example:

[Jason_Whaylen]

It sounds like some of the methods described above would be good ways to identify this situation.  Another thing to consider is to export the data to a medium such as MS Excel, and manipulate things from there.  Please post back if you are still needing suggestions on this issue.

Jason Whaylen

[ajcoyote]

Thanks Jason. The challenge for me is to develop an automated program to identify locations of clipping. Right now I'm experimenting with detecting abnormal frequency distributions from sonograms and also detecting spurious harmonics using the total harmonic distortion analyzer routine. I think that will work, although I'm hopeful that maybe there's an even easier algorithm out there. Any other ideas would be helpful.

~Aaron

[PJS]

In the time domain, it looks more like square waves rather than sine waves