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 ...

A Python and Vivado HLS implementation of the 2D Haar Wavelet Transform for image edge detection. The project bridges software prototyping and hardware design, offering visual and quantitative ...

Abstract: One common task in time series analysis is the visual investigation of spectra such as Fourier spectra or wavelet spectra to identify dominating frequencies. In this article, we present the ...

Abstract: In this work we analyze the correlation of the appearing T-wave alternans (TWA) with the shape (range) of the multifractal spectra of the ECG signals obtained with wavelet leaders based ...

K. Nowak, B. Rajagopalan and E. Zagona (2011). “Wavelet Auto-Regressive Method (WARM) for multi-site streamflow simulation of data with non-stationary spectra,” Journal of Hydrology, 410 (1-2) 1–12.

Consider the situation when we have training data containing many time series having known group membership and testing data with unknown group membership. The goals are to find timescale features ...

Time scales obtained after a maximal overlap discrete wavelet transform of depth 3 of an input time series. Figure 2. Time series plots (2008-2019) of the different variables of our study. Malaria ...