I'm just starting to play around with some timing signals. I'm just wondering if some of you experts can refer me to some reading on algorithms to find the location of an edge in noisy data. For example, this waveform:
https://picasaweb.google.com/lh/photo/aPZbcgu9neWRJAGd_VoGng?feat=directlink Now, I know I've got every kind of analog signal problem here, very low bandwidth, random length wires instead of a proper scope probe, unterminated lines, vertical scale that doesn't use the scope's already limited 8-bit dynamic range etc. I can improve the signal, but I'm just using that trace to illustrate several issues in general. I wonder what a good algorithm or procedure might be to extract the best available edge timing resolution from a set of data describing a waveform of this approximate shape. In this case, by "best" I mean the most repeatable result in the face of a bandwidth-limited signal with given level of random noise and quantization error. I imagine I would want to generate a prototype waveform and then slide it back and forth over each given waveform in turn, and look for the best match position (cross correlation) ? _______________________________________________ time-nuts mailing list -- [email protected] To unsubscribe, go to https://www.febo.com/cgi-bin/mailman/listinfo/time-nuts and follow the instructions there.
