Noise Cancellation Without reference signal
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Anyone here have done the Noise Cancellation Without reference signal. Please share the Matlab code. Thank you
1 comentario
Neil Taylor
el 4 de Oct. de 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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Image Analyst
el 13 de Nov. de 2013
Editada: Image Analyst
el 14 de Nov. de 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 comentarios
Walter Roberson
el 14 de Nov. de 2013
I checked Google Scholar, but I do not find any papers on the topic "Noise Cancellation Without Reference Signal" ?
Image Analyst
el 14 de Nov. de 2013
Editada: Image Analyst
el 14 de Nov. de 2013
There is no reference signal in my code, just the noisy signal, a box filter (a rect function), and an output signal.
Umair Nadeem
el 14 de Nov. de 2013
Editada: Umair Nadeem
el 14 de Nov. de 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
0 comentarios
jnaumann
el 14 de Nov. de 2013
It sounds like you are after an Adaptive Linear Enhancer (ALE) - some info given here
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