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Autocorrelation is the cross-correlation of a signal with itself.
3
votes
Accepted
signal uncorrelated with delta in the origin
It has a delta at the origin because you are multiplying your time series with itself (i.e. there is no time delay). Any non-zero time series correlated with itself will give a positive value.
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vote
What data should be collected to determine the autocorrelation sequence?
All you need to do an autocorrelation is a number of evenly spaced samples at a given frequency, so you will need some dwell time at each frequency (which I assume that you are doing already). …
4
votes
What is the unit of autocorrelation function?
It depends. Normalized autocorrelations have no units because the units are divided out as part of the normalization process.
Non-normalized autocorrelations have the original data's units squared.
5
votes
1
answer
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Generating good synchronization sequences
In order to get good synchronization information and avoid false positives the autocorrelation of the synchronization sequence should be as close to a delta dirac as possible. …
2
votes
When might looking at rising edges perform better than cross-correlation?
Using the rising edge is better than cross-correlation when there is the physical equivalent of an inductor in the system, which will introduce inertia into the system. That inertia will cause the ou …
4
votes
Effect of Windowing Function on Autocorrelation Function
You are using the FFT and inverse FFT to efficiently calculate a correlation (an autocorrelation is just a special case of correlation). …
1
vote
Find the time lag for a wave
The time lag is equal to the index difference times the sample period. The sample period is:
$$
T_s = \frac{1}{f_s} = \frac{1}{16000} = 62.5\mu s
$$
Thus, the time lag from the first peak to the seco …