Noise Cancellation Without reference signal

11 vues (au cours des 30 derniers jours)
Da Da
Da Da le 13 Nov 2013
Commenté : Neil Taylor le 4 Oct 2019
Anyone here have done the Noise Cancellation Without reference signal. Please share the Matlab code. Thank you
  1 commentaire
Neil Taylor
Neil Taylor le 4 Oct 2019
An old post but DD above is correct. Also look for Adaptive self-tuning filters, and self-tunning Kalman filters.

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Réponses (3)

Image Analyst
Image Analyst le 13 Nov 2013
Modifié(e) : Image Analyst le 14 Nov 2013
There are lots of ways to reduce noise without any reference signal. For example convolving with a box/rect filter.
smoothedSignal = conv(noisySignal, ones(1,11)/11, 'same');
Did you have some specific method in mind?
  3 commentaires
Walter Roberson
Walter Roberson le 14 Nov 2013
I checked Google Scholar, but I do not find any papers on the topic "Noise Cancellation Without Reference Signal" ?
Image Analyst
Image Analyst le 14 Nov 2013
Modifié(e) : Image Analyst le 14 Nov 2013
There is no reference signal in my code, just the noisy signal, a box filter (a rect function), and an output signal.

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Umair Nadeem
Umair Nadeem le 14 Nov 2013
Modifié(e) : Umair Nadeem le 14 Nov 2013
You can use a digital lowpass filter to reduce the high frequency noise peaks. Any filter would do the job but a Butterworth filter has a better response because of minimum ripples in the passband.
Sample code:
[num den] = butter(3, wn, 'low');
output = filter(num, den, input);
here take wn = signal_freq/sampling_freq, if you dont know the sampling frequency then take
wn = any value between 0.1 and 0.9 and check the response for the most suitable wn value.
Hope this helps. Your feedback will be appreciated. Thanks

jnaumann
jnaumann le 14 Nov 2013
It sounds like you are after an Adaptive Linear Enhancer (ALE) - some info given here

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