Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...
Abstract: Smart inverters are vital to the functioning and stability of contemporary microgrids (MG). Nevertheless, their growing dependence on digital communication and control exposes them to ...
Key Finding: NSCT achieves +16.8% SSIM and +2.93 dB PSNR improvement over DWT, winning quality on all 11 test images. wavelets-and-contuorlets/ ├── README.md # This file ├── COMPLETION_REPORT.txt # ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Abstract: The exponential increase in digital imagery has amplified the demand for effective tools to identify similar images and merge them into richer informative outputs. with the applications as ...
Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...
We present a method for the path integral formulation of electronic structure simulation. The time evolution operator is represented as matrix in a basis consisting of Deslauriers-Dubuc or Daubechies ...
The module includes both a Python library and a REST API server for remote wavelet analysis. Sample scripts (sample.py, sample_xwt.py) illustrate library usage, while the server enables integration ...
Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...
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