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 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.

数据algorithm & 分析算法

COVID-19 Coughs files for training AI models

Computational Methods in Chemical Engineering (UMass Lowell, Spring 2020); Prof. Valmor F. de Almeida.

Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients

Estimating effective elastic thickness of the lithosphere

Python package of wavelet transform with new features

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.

Wavelet transforms and non-Gaussian segmentation

Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology"

Estimating Curie depth from magnetic anomaly data

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.

This projects implements wavelet transform to determine SVPs' (Sharp Variation Points) alongside a transformed signal curve. It uses the concept of zero-crossing point.

Python library for scale-based spatial analysis

wat: Wave Analysis Tool

Machine Learning algorithms implemented from scratch