Research Topic · Peer-Reviewed

Signal Processing

Signal Processing is a technological field which focuses on manipulating, analyzing, and synthesizing signals. Signals are temporal, spatial, or other representations of data that can be extracted from the environment through electronic or wireless means. Signal Processing is an important process used to convert, an…

Curated from this journal's research 📚 3 peer-reviewed articles cited Cited 20× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Signal Processing is a technological field which focuses on manipulating, analyzing, and synthesizing signals. Signals are temporal, spatial, or other representations of data that can be extracted from the environment through electronic or wireless means. Signal Processing is an important process used to convert, analyze, or modify incoming signals from the environment, such as audio and video, in order to make them more useful. Thus, this field is relevant to many industries and applications, including machine learning, healthcare, data storage, communications, satellites, consumer electronics, and robotics. Signal Processing helps to increase the data accuracy and make better decisions. As a result, it also enables more efficient and reliable operations.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 3 articles above have been cited 20 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Signal Processing, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.