Harmonic to noise ratio calculation
Show older comments
How can i calculate the harmonic to noise ratio of a signal?
Answers (3)
Chinmay Anand
on 28 Jun 2019
0 votes
You can look into this link for this.
2 Comments
Khandaker Noman
on 28 Jun 2019
KALYAN ACHARJYA
on 28 Jun 2019
This is SNR, HNR is different.
KALYAN ACHARJYA
on 28 Jun 2019
Edited: KALYAN ACHARJYA
on 16 Nov 2019
0 votes
To understand in detail theory, read here
5 Comments
Li feng
on 16 Nov 2019
what is noOfFrames?
KALYAN ACHARJYA
on 16 Nov 2019
Hyla Fourie
on 27 Oct 2020
Hmm I am not sure whether you are still active on this feed but I have read the resources and am still a bit confused as to what should be entered in to the noOfFrames variable...
mariem khrissi
on 25 Nov 2020
does noofframes correspond to the number of frames ??
Manuel Brandner
on 19 Dec 2020
Edited: Manuel Brandner
on 19 Dec 2020
noofframes equals signalblocks. in matlab you can use buffer to chop the signal into blocks with or without a certain overlap. Each signal block is then used in the HNR code to calculate the autocorrelation. After that the first zero crossing of the normalized autocorrelation is searched for. The maximum peak value is searched for with the max function and the sample position is then used (in the best case this gives you also the underlying fundamental frequency = fs/samplepos).
the energy at this position compared to the overall energy (value of the autocorrelation at index = 1) gives you the harmonic to noise ratio.
or for the normalized autocorrelation:
drawbacks as far as I understand it are:
- pitch dependency
- accuracy decreases if the signal gets more complex (in speech for example formants)
- SNR has an influence on the values in terms of comparison of several measurement situations
Li feng
on 16 Nov 2019
0 votes
what is noOfFrames?
1 Comment
KALYAN ACHARJYA
on 16 Nov 2019
Please write the comment in comment section only (Just below the answer).
Categories
Find more on Spectral Measurements in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!