Questions tagged [denoising]
Denoising is a collection of techniques to remove unwanted noise from a signal. Typically this is done by filtering, but a variety of other techniques is available. Often combinations are used in sequence to optimize the denoising.
230 questions
1 vote
0 answers
54 views
Estimating signal components from a noisy time-series
I am trying to separate signal components from a time series which is disturbed by noise. I am hoping that by using the appropriate sequence of signal processing tools, I can detect the signal ...
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0 votes
2 answers
108 views
Designing digital filters on basis of $\sigma(\tau)$ diagrams
I have read some articles on Allan deviation and understand that the slope of the $\sigma(\tau)$ diagram corresponds to the exponent of power-law noise: $$S_y(f)\sim f^\alpha \implies \sigma(\tau) \...
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0 votes
1 answer
74 views
Implications of adding gaussian noise after denoising original signal
I'm new to DSP due to a research project related with audio classification. We are designing a DL-based pipeline to determinate which kind of vessel appears in underwater recordings. Thing is that I'...
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4 votes
5 answers
2k views
Destripe satellite image using FFT in python
I am currently in the midst of processing a satellite image, and I've come to a point where I need to remove those faint stripes caused by the sensor, as you can see below: The image is RGB. I ...
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0 votes
1 answer
57 views
Denoising a digitalized electric signal with spikes (probabaly due to EMI)
Statement of the problem: I used a MEMS sensor to detect break signals in a concrete beam. The sensor was attached to a L-form steel plate, which was glued on the concrete surface. The sensor was ...
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0 votes
0 answers
48 views
Image denoising using stationary wave transform
I have a really newbie question. I am currently working on a research project where I am required to denoise images using stationary wavelet transform (SWT) in Python specificly (preferably using ...
1 vote
1 answer
132 views
How to deal with known background noises?
Y-axis is pk-pk(mm) I am trying to analyze a vibration data set for a system, as shown below. The data was obtained by collecting a set of images of the system and applying an algorithm to generate ...
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1 vote
1 answer
442 views
How is cross correlation used for noise reduction?
Say you use a power divider to split a signal to feed into two channels of an oscilloscope. And from the captured data say you do $$ xcorr = IFFT( FFT(CH1(x) * conj(FFT(CH2(x))) )$$ so you now have ...
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0 votes
0 answers
92 views
How to smooth and remove noisy stripes in Power Spectrum?
I have the following power spectrum of acoustic data over multiple sensors. I used Fast Fourier Transform to estimate periodogram at each sensor. I wonder if there are techniques to clean, smooth, and ...
0 votes
0 answers
53 views
Detecting sections of sinusoids of varying frequency in time domain waveform
I have time domain waveforms as shown here: Around ~11:54 and ~11:59 are sinusoids and in between is "noise". I would like to obtain an indicator function that's 1 when when there is (...
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2 votes
1 answer
494 views
Calculating Shannon-like entropy function of a 1D signal with random noise
I have been searching for a measure of Shannon's entropy $\ H $ or other entropy-like formulae that vary smoothly with noise for real 1D signals. MATLAB has built in functions for image entropy. The ...
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4 votes
1 answer
449 views
A new window for the sinc filter and its modifications
There is a recent paper in a journal called ACS Measurements which suggests an alternative window for the sinc function (Why and How Savitzky–Golay Filters Should Be Replaced) Link: Open Access Paper. ...
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0 votes
0 answers
31 views
Tools for getting the best out of multiple recordings of the same event
Input: several air audio recordings of a live concert taken from different locations within the venue. Different quality, different noises (e.g. voices of people in the vicinity of the recording ...
- 113
0 votes
2 answers
326 views
How to remove known noise from acquired signals
what is the question: I have some time sequences(sampled at 0.5s and 3kHz which means every one of them has 1,500 points) from my force sensor. But I find the signal fluctuates wildly under no load, ...
3 votes
0 answers
427 views
Is this better detection than Matched Filter and Gaussian noise cancellation technique for SONAR data?
The code below generates one sinusoid and considered as known signal. One needs to find the location of the signals under additive Gaussian noise. The known signals is comprise of the sinusoids with ...
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