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

multidimensional-systems-and-signal-processing.jpg

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

  • About this Journal:
  • Multidimensional Systems and Signal Processing (MDSSP) is a peer-reviewed international journal that focuses on theoretical, computational, and applied aspects of multidimensional systems and signal processing.Multidimensional Systems and Signal Processing is a research-based journal that covers the breadth of multidimensional control systems and signal processing. Publishes research and survey papers ranging from fundamental to innovative findings. Offers unity of theme, reduced duplication of effort, and enhanced communication among researchers. Addresses topics such as multidimensional control systems design, signal reconstruction, and array processing. Provides applications of multidimensional systems and signal processing in areas like healthcare and 3-D imaging techniques.
  • It publishes high-quality research involving mathematical foundations, system theory, algorithms, and practical implementations of multidimensional signals and systems.
  • The journal serves as a platform for engineers, mathematicians, and researchers working in areas such as image processing, video processing, multidimensional filters, multidimensional systems theory, and related computational methods.
  • Published by Springer, the journal features research articles, survey papers, and special issues covering emerging topics in multidimensional signal processing.

  • Editor-in-Chief:  Sankar Basu PhD

  • Scope of the Journal:
  • Multidimensional systems theory, stability, controllability, and realizations.
  • Multidimensional signal processing, including image, video, and volumetric data processing.
  • Filter design, wavelets, transforms, and advanced signal representations.
  • Computational algorithms for multidimensional and multirate systems.
  • Mathematical modeling and analysis of multidimensional dynamic systems.
  • Sparse representations, compressive sensing, and inverse problems in multidimensional settings.
  • Applications in communications, biomedical imaging, radar/sonar processing, geophysical data analysis, and remote sensing.
  • Emerging topics such as tensor methods, machine-learning-driven signal processing, and high-dimensional data frameworks.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  09236082

    Electronic ISSN:  15730824

  • Abstracting and Indexing:  SCOPUS, Science Citation Index Expanded (SCIE)

  • Imapct Factor 2024:  1.8

  • Subject Area and Category:  Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Information Systems, Signal Processing Software

  • Publication Frequency:  

  • H Index:  48

  • Best Quartile:

    Q1:  

    Q2:  Artificial Intelligence

    Q3:  

    Q4:  

  • Cite Score:  7.3

  • SNIP:  0.914

  • Journal Rank(SJR):  0.465