A library for audio and music analysis, feature extraction.
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Updated
Mar 6, 2026 - C
A library for audio and music analysis, feature extraction.
Differentiable fast wavelet transforms in PyTorch with GPU support.
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.
Python codes "Jupyter notebooks" for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
A sharing of the learning process of mathematical modeling Shu Xue Jian Mo Chang Yong Gong Ju Mo Xing Suan Fa Fen Xiang :Shu Xue Jian Mo Jing Sai You Xiu Lun Wen ,Shu Xue Jian Mo Chang Yong Suan Fa Mo Xing ,LaTeXLun Wen Mo Ban ,SPSSGong Ju Fen Xiang .
Kuai Su Ji Suan Shi Jue Ting Jue Xian Xing Juan Ji Shu Ju Fen Xi
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
Computational Methods in Nuclear Chemical Engineering (Cortix Tech); Dr. Valmor F. de Almeida.
COVID-19 Coughs files for training AI models
Estimating effective elastic thickness of the lithosphere
A PyTorch-based package built for graph signal processing(especially critical-sampling graph wavelet analysis).
Xiao Bo Fen Xi Xiang Guan Dai Ma ,Bao Han :Yi Wei /Er Wei Chi San Xiao Bo Bian Huan , Fen Jie , Zhong Gou ;Yi Wei Lian Xu Xiao Bo Bian Huan (You Tu Xing Hua Cao Zuo Jie Mian ).
Machine learning for Anonymous detection of an alcoholic by EEG signals
Tong Guo Fan Xiang Chuan Bo Suan Fa Shi Xian Shen Jing Wang Luo He Xiao Bo Shen Jing Wang Luo . Implement neural network and wavelet neural network through back-propagation algorithm. Realizatsiia neironnykh setei i veivlet-neironnykh setei s pomoshch'iu metoda obratnogo rasprostraneniia oshibki.
A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.
Estimating Curie depth from magnetic anomaly data
Wavelet transforms and non-Gaussian segmentation
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