Multidimensional Systems and Signal Processing publishes original research on the theory, design, and implementation of systems and algorithms dealing with multi-dimensional signals. This encompasses a wide range of applications, including image and video processing, medical imaging, seismic data analysis, and remote sensing. The journal provides a forum for researchers to share advancements in both theoretical foundations and practical applications, addressing the challenges of processing complex data.
Key areas covered include multidimensional filter design, signal reconstruction, transform theory, and hardware implementation. Indexed in databases like Scopus and Web of Science, the journal offers broad visibility to its content. Its target audience comprises researchers, engineers, and academics working in signal processing, image processing, and related fields.
Multidimensional Systems and Signal Processing aims to facilitate the development of innovative signal processing techniques and their deployment across various domains. The journal welcomes submissions that advance the state-of-the-art in multidimensional signal processing, fostering a more efficient and insightful interpretation of complex data.