Multidimensional Systems and Signal Process - Impact Factor

Multidimensional Systems and Signal Process - Springer | 2024 Impact Factor:1.8 | Cite Score:7.3 | Q2

Multidimensional Systems and Signal Process Journal

Impact Factor and Journal Rank of Multidimensional Systems and Signal Process

About: Multidimensional Systems and Signal Processing is a scholarly journal dedicated to publishing research papers and selective survey articles covering a broad spectrum of topics ranging from fundamental principles to significant new discoveries in multidimensional systems and signal processing. The journal addresses the challenge of scattered publications in this specialized area by offering thematic unity, reducing redundancy, and improving communication among researchers and practitioners.
Objective:
The journal aims to advance knowledge and understanding in multidimensional systems and signal processing by providing a focused platform for original research and comprehensive surveys. It encourages contributions that explore theoretical foundations, methodological advancements, practical applications, and interdisciplinary interactions within the field.
Focus Areas:
Topics covered in Multidimensional Systems and Signal Processing include, but are not limited to: Multidimensional signal processing techniques Image and video processing Array processing and sensor networks Spectral analysis and time-frequency methods Multidimensional system theory and applications Wavelets and transforms Machine learning and pattern recognition in multidimensional data Computational methods in signal processing Applications in telecommunications, biomedical imaging, remote sensing, and beyond
Impact:
The journal contributes to consolidating and advancing research efforts in multidimensional systems and signal processing. It facilitates the dissemination of innovative ideas, methodologies, and practical solutions that enhance understanding and application of signal processing techniques in multidimensional data domains.
Significance:
Multidimensional Systems and Signal Processing is significant for fostering collaboration and knowledge exchange among researchers, practitioners, and educators in the field. By offering a cohesive platform, it promotes deeper insights, efficient utilization of resources, and development of new technologies with real-world applications.

Journal Home: Journal Homepage

Editor-in-Chief: Eric Rogers

Scope: Multidimensional Systems and Signal Processing publishes a wide range of research and selective survey papers covering topics from fundamental principles to significant new discoveries in the field. The journal aims to address and resolve the fragmented nature of publications in multidimensional systems and signal processing, promoting a unified thematic approach that reduces duplication of efforts and enhances communication among researchers and practitioners.
Key areas covered by the journal include, but are not limited to:
Multidimensional Systems: Theory, analysis, and applications of systems involving multiple dimensions, such as spatial, temporal, spectral, or other domains.
Signal Processing: Advanced techniques and methodologies for processing and analyzing signals, including but not limited to digital signal processing, image processing, audio processing, and video processing.
System Modeling and Identification: Methods and tools for modeling, identification, and parameter estimation of multidimensional systems.
Machine Learning and Data Analytics: Applications of machine learning algorithms and data analytics techniques in multidimensional systems and signal processing.
Image and Video Analysis: Algorithms and methodologies for image and video analysis, including segmentation, feature extraction, pattern recognition, and computer vision.
Information Fusion: Integration of data and information from multiple sources to improve decision-making and system performance.
Applications: Real-world applications of multidimensional systems and signal processing in fields such as telecommunications, biomedical engineering, remote sensing, robotics, and multimedia systems.