PyWavelets - Wavelet Transforms in Python
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Mar 3, 2022 - Python
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wavelets
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Wavelet scattering transforms in Python with GPU acceleration
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Mar 5, 2022 - Python
PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
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Feb 3, 2022 - Python
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
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Aug 15, 2020 - C
.NET DSP library with a lot of audio processing functions
audio
sound-effects
dsp
fda
wav
feature-extraction
noise
signal
lpc
resampling
filtering
mfcc
pitch
mir
adaptive-filtering
psychoacoustics
wavelets
sound-synthesis
time-stretch
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Dec 27, 2021 - C#
[CVPR 2021] Monocular depth estimation using wavelets for efficiency
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Dec 31, 2021 - Jupyter Notebook
TensorFlow implementation of descrete wavelets transforms
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Nov 5, 2020 - Python
Differentiable and GPU enabled fast wavelet transforms in PyTorch
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Mar 10, 2022 - Python
Functional models and algorithms for sparse signal processing
functional-programming
lasso
sparse-linear-systems
convex-optimization
linear-operators
compressive-sensing
wavelets
sparse-representations
jax
l1-regularization
first-order-conic-solvers
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Dec 9, 2021 - Jupyter Notebook
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
machine-learning
statistics
deep-learning
neural-network
pytorch
interpretability
wavelets
wavelet-analysis
distillation
xai
explainability
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Jan 30, 2022 - Jupyter Notebook
Python implementation of papers on emergency vehicle detection using audio signals
machine-learning
neural-network
self-driving-car
mfcc
emergency-response
audio-processing
pitch-detection
wavelets
emergency-vehicle-detection
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Jun 27, 2019 - Jupyter Notebook
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training
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Jun 8, 2019 - TeX
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning
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Nov 13, 2018 - TeX
Useful tools for periodicity analysis in time series data.
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Oct 19, 2021 - Python
Multiwavelets-based operator model
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Feb 16, 2022 - Python
Fast Bayesian Hidden Markov Model with Wavelet Compression
machine-learning
hmm
bioinformatics
statistics
time-series
genomics
genome
statistical-inference
segmentation
bayesian-inference
wavelet
hidden-markov-model
bayesian-data-analysis
genome-analysis
bayesian-statistics
hidden-markov-models
time-series-analysis
wavelets
wavelet-transform
wavelet-compression
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Jan 24, 2020 - C++
PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificial Neural Networks (ICANN) 2020.
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Sep 20, 2021 - Python
Machine learning for Anonymous detection of an alcoholic by EEG signals
eeg
eeg-signals
eeg-data
fourier-series
fourier-analysis
alcohol
fourier-transform
wavelets
eeg-analysis
wavelet-analysis
wavelet-transform
eeg-classification
eeg-signals-processing
pass-filter
eeg-dataset
alcohol-eeg
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Sep 16, 2021 - Python
EKG Analysis code for the MI3 intern group at CHOC Children's
python
data-science
machine-learning
r
signal-processing
ecg
feature-extraction
logistic-regression
wavelet
svm-model
principal-component-analysis
medical-informatics
wavelets
ekg
ekg-analysis
atrial-fibrillation
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Feb 10, 2019 - Python
Analysis of various climatological times series using Continuous Wavelets Transform
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Jan 4, 2018 - Jupyter Notebook
A Discrete Wavelet Transform (DWT) library for the web.
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Jan 30, 2022 - TypeScript
A simple and easy implementation of Wavelet Transform
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Jan 14, 2021 - Python
wide array of continuous wavelet transforms using Julia
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Jan 13, 2022 - Julia
A bunch of experiments using Bark and Mel scales, wavelets and paraconsistent feature engineering in order to find the best methods to classify spoofed and genuine speaker audios
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Sep 29, 2021 - C++
A re-implementation of the Wavelets package using Cython to improve the speed.
compression
cython
wavelet
wavelets
wavelet-transform
discrete-wavelet-transform
audio-denoising
fast-wavelet-transform
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Jan 17, 2021 - Python
Wavelets with adaptive recursive partitioning
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Apr 9, 2020 - C++
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Right now the normalisation for the wavelets is done completely off-line, hard saved in a file.
It could be done at init (or build) time of the
WavAnalysislayer, by doing the same operation carried out in the notebook.