This project provides an interactive desktop application for comparing different image denoising algorithms on grayscale images corrupted by various types of noise. The primary goal is to demonstrate ...

The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...

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 ...

A comprehensive time series analysis project featuring wavelet transforms, forecasting, anomaly detection, and interactive visualization. This project demonstrates state-of-the-art methods for ...

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 ...

Abstract: The critical identification and subsequent therapeutic treatment of cardiac diseases requires a correct categorization of ECG signals. The presented feature of separating data is highly ...

Introduction: Nucleus segmentation plays an essential role in digital pathology,particularly in cancer diagnosis and the evaluation of treatment efficacy. Accurate nucleus segmentation provides ...

Abstract: Infrared small target detection (IRSTD) is of great practical significance in many real-world applications, such as maritime rescue and early warning systems, benefiting from the unique and ...