Repository navigation
wavelet-analysis
- Website
- Wikipedia
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.
A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
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.
Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. 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).
通过反向传播算法实现神经网络和小波神经网络。Implement neural network and wavelet neural network through back-propagation algorithm. Реализация нейронных сетей и вейвлет-нейронных сетей с помощью метода обратного распространения ошибки.
Machine learning for Anonymous detection of an alcoholic by EEG signals
👋小波分析相关代码，包含：一维/二维离散小波变换、分解、重构；一维连续小波变换（有图形化操作界面）。
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