Linked Questions
57 questions linked to/from Synchrosqueezing Wavelet Transform explanation?
11
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1
answer
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Wavelet Scattering explanation?
How does Wavelet Scattering work, intuitively? What are its motivations, and how's it differ from the (continuous) Wavelet Transform? Can it be visualized?
9
votes
5
answers
787
views
Identify abrupt changes in an audio waveform
I have an audio file which was created by substituting multiple speech segments into an original utterance.
I want to find the timestamps where such substitutions happened, so I guess that one thing I ...
7
votes
3
answers
3k
views
Continuous Wavelet Transform vs Discrete Wavelet Transform
The discrete wavelet transform is applied in many areas, such as signal compression, since it is easy to compute. I notice that, However, the continuous wavelet transform (CWT) is also applied to ...
8
votes
4
answers
2k
views
Advantage of STFT over wavelet transform
I have learned about STFT and wavelet transform recently, and wavelet transform seems better than STFT in my opinion.
So, I wonder if there is any advantage of using STFT than WT, and if so, what are ...
4
votes
3
answers
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Why Hilbert Transform is terrible choice for amplitude demodulation of broadband signals?
A reference answer empirically demonstrates that Hilbert envelope does not work well for the (amplitude) demodulation of a broadband signal. I am looking for the math which explains why...
4
votes
3
answers
6k
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Python audio analysis: which spectrogram should I use and why?
I am doing my final project at university: pitch estimation from song recording using convolutional neural network (CNN). I want to retrieve pitches existed in a song recording. For CNN input, I am ...
8
votes
5
answers
1k
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Estimation of Amplitude, Frequency and Phase of Linear Combination of Harmonic Signal Beyond the Leakage Resolution of DFT
How can I find a rough ( as accurate as possible) Amplitude of each frequency when there is spectral leakage.
Currently, I am dealing with a system that contains special leakage which seems ...
2
votes
3
answers
5k
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DFT coefficients meaning?
What "are" they? What's a sensible way to interpret the coefficients (and what isn't)? To pose specifics:
DFT coefficients describe the frequencies present in a signal
They describe the ...
6
votes
1
answer
2k
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Wavelet Scattering properties & implementation?
What are the properties of the scattering transform, besides shift invariance and warp stability? How is it implemented in practice, and how can one visualize its computational graph?
2
votes
2
answers
4k
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Spectrum of FM signal?
If a carrier ($f_c$) is FM modulated by a single sine wave ($f_m$), its spectrum is composed of frequencies at $f_c + kf_m$ ($k \in \mathbb{Z}$) whose amplitudes are weighted by $J_n(\beta)$, the $k$-...
2
votes
2
answers
975
views
Wavelet "center frequency" explanation? Relation to CWT scales?
I noticed that there are many ways to relate the scale factor of wavelets to some characteristic frequency, such as the peak frequency, the central instantaneous frequency, and so on(plz see section 2....
6
votes
3
answers
1k
views
Intuition behind the Continuous Wavelet Transform?
I was thinking sometime back about how to explain the Continuous Wavelet Transform ELI5. So this is what I came across.
The correlation of two exact signals is 1. So if I have an input signal $f(x)$ ...
3
votes
2
answers
1k
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How to decompose a signal into exponentally decaying sinusoids?
I have a system of coupled oscillators. One is a pendulum acting as a tuned mass damper and the other is a wooden structure. When I loosen the screw that allows the pendulum to oscillate I get a ...
2
votes
2
answers
730
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Why does a synchrosqueezed wavelet transform show oscillating behavior?
This question came up in the context of the ssqueezepy library. As a basic experiment I did compute the synchrosqueezed wavelet transform of three basic signals:
A ...
3
votes
1
answer
2k
views
How to alleviate the edging effect of the Hilbert transform?
I am trying to use Hilbert transform to extract the envelope of a residual signal. After implementing the Hilbert transform, I find that envelope jumps very high at its boundaries. May I ask the ...