3
votes
Accepted
Noise Reduction - noisy lines
I just used the method suggested in this older DSP.SE post and it seems to work:
I did this manually by first loading the image:
...
- 22.5k
2
votes
Is there any data or theory about human visual system to identify details under noise?
The phenomenon of the perceptibility of a one stimulus in the presence of the another is typically called "masking". The amount of "masking" varies greatly with the differences in ...
- 31.5k
2
votes
Accepted
AWGN continous time channel + colored noise
To solve this problem, it is necessary to understand what exactly is meant by $\langle R, \psi_1 \rangle$ and $\langle R, \psi_2 \rangle$. These are the outputs of correlators or matched filters and ...
- 18.9k
2
votes
Accepted
Reference for Wiener-Kolmogorov whitening procedure
There's some missing context, but I'm 99.44% sure that the authors are referring to part of the design process for the Wiener (AKA Wiener-Kolmogorov) filter.
If they don't actually cite Weiner's and ...
- 8,285
2
votes
Accepted
Simulating RF interference (noise) to captured RF signals
Such "noise" evaluation is usually based on meeting a spectral mask for interference at the front end of the receiver but short of having that, a custom mask can be created to quantify the ...
- 37.1k
2
votes
Random gaussian noise estimation from a given trajectory
After reading in the data (and "correcting" the NaN values with the previous valid number):
...
- 22.5k
1
vote
Random gaussian noise estimation from a given trajectory
A Kalman filter or a particle filter could be an option if your trajectories can somehow fit an ARMA model. A dual Kalman filter is also a possibility, one to track trajectories and another to track ...
- 691
1
vote
How to remove the unknown intervention from the signal (Octave)?
It looks like your problem is, mostly, spurious noise that comes out as peaks of varying degrees of sharpness. One of the simplest methods would be to calculate the derivative and, when it goes above ...
- 1,423
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