A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

DSP-SIMD is an open source toolkit designed for efficient Digital Signal Processing using SIMD (Single Instruction, Multiple Data) techniques. This toolkit aims to provide high-performance, reusable ...

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

Non-invasive heart rate and blood pressure monitoring via facial images and video might soon be possible thanks to the development of pioneering signal-processing technologies. Researchers are ...

Abstract: Monitoring the electrical activity of the heart is accomplished with the vital diagnostic tool known as electrocardiography (ECG). Diagnostic accuracy may be compromised, though, by noise ...

PPS has positioned Chameleon 2026 as a core element of its ongoing programme to simplify tactile data handling for ...

Abstract: Improved compensation of nonlinear signal distortion in long-distance fiber links is demonstrated using optical phase conjugation plus tailored nonlinearity in Raman amplified fibers or ...

This role requires close collaboration with cross-functional teams throughout the product development lifecycle to ensure models accurately ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...