IET Signal Processing is a leading scholarly journal dedicated to the dissemination of advancements in signal processing theory, algorithms, and applications. It provides a platform for researchers and practitioners to share innovative solutions to real-world challenges across diverse domains.
Coverage includes areas such as audio and image processing, communication signal processing, biomedical signal analysis, and adaptive filtering. Indexed in databases like IET Inspec, Scopus, and Web of Science, the journal reaches a global audience of academics and industry professionals. It aims to foster the development of cutting-edge signal processing technologies.
IET Signal Processing welcomes submissions that demonstrate significant contributions to the field, whether theoretical or practical. By maintaining rigorous peer-review standards, it ensures the quality and relevance of published content. Contribute to the knowledge in the field by submitting your work related to signal processing.