pywt
ssqueezepy
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pywt | ssqueezepy | |
---|---|---|
2 | 3 | |
1,915 | 573 | |
2.3% | - | |
8.7 | 4.0 | |
11 days ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pywt
- Wavelets: A Mathematical Microscope
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Doubt on pywavelets (frequency of wavelet)
Pywavelets is open sourced under the MIT license. If you are curious about the way a function is implemented, you can look the implementation on GitHub.
ssqueezepy
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[OC] A lonely cough on a scalogram, yet rich in charasteristics & distinctive properties
Thanks for this great question - complex-valued Mexican hat mother wavelet here, used this implementation of synchrosqueezing: https://github.com/OverLordGoldDragon/ssqueezepy
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[P] Fastest wavelet transforms in Python + synchrosqueezing
ssqueezepy 0.6.1 released w/ benchmarks, CWT up to x75 faster than PyWavelets on CPU and x900 on GPU (and more correct). STFT also CPU- and GPU-accelerated, and both synchrosqueezed.
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[D] Inductive biases for audio spectrogram data.
Have a look here
What are some alternatives?
pytorch_wavelets - Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
ruptures - ruptures: change point detection in Python
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
madmom - Python audio and music signal processing library
kymatio - Wavelet scattering transforms in Python with GPU acceleration
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
audio-reactive-led-strip - :musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
WaveDiff - Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)