To address these challenges, this research explores the application of machine learning and wavelet transform techniques for improving the accuracy and efficiency of digital signal processing in ...

This work presents the design and hardware implementation of a wavelet filter bank for the pre-processing of electrocardiographic (ECG) signals using an FPGA platform. The objective is to improve ...

The advanced exploration of wavelet transforms underscores their value as a fundamental tool for signal and image compression, as well as data processing, offering a more precise analysis of noise ...

It is found that the denoised acoustic logging signal outperforms the original one in revealing the geological information of gas bearing layers. So, we believe that the wavelet transform can do an ...

Mallat, S. (2008) A Wavelet Tour of Signal Processing The Sparse Way. 3rd Edition, Academic Press.

This repository contains the complete implementation of a research project investigating hybrid models for Arabic dialect classification using combinations of classical signal processing techniques ...

All earthly and celestial things emit signals. The science of signal processing, born in the 19th Century and now greatly advanced thanks to computers, allows us to better understand them.