On the other side, Wavelet Transform (WT) has been shown to provide an improved performance over the fast Fourier transform (FFT)-based SC-FDMA, owing to WT's local focusing capability in both time ...

Center Of Mass,Class Of Systems,Continuous Wavelet Transform,Diverse Gait,Forward Speed,Gait Adaptation,Gait Pattern,Global Navigation Satellite System,Hidden Markov Model,Human Activities,Indoor ...

This study proposes a wavelet-based two-stage fine-tuning ViT model that integrates feature extraction using wavelet transform and applies stepwise fine-tuning to enhance adaptability to lung CT ...

1 \end{bmatrix} \\\ H_{2n} = \frac{1}{\sqrt{2}} \begin{bmatrix} H_n & H_n \\\ H_n & -H_n \end{bmatrix} }$$ I thank the developers of python and pytorch. I thank all the researchers for their efforts ...

This repository presents a deep learning-based approach to improve image classification performance by leveraging Gabor wavelet representations of images. The core idea is to train multiple CNN models ...