Multidimensional Systems and Signal Processing – Multimedia and Audiovisual Journal Guide for Researchers

Why Researchers Choose Multidimensional Systems and Signal Processing for High-Impact Publications

Multidimensional Systems and Signal Processing stands as a premier outlet for advancing theoretical and applied research in the processing of multidimensional signals, particularly those relevant to multimedia and audiovisual technologies. Established in 1990 by Springer, this journal has evolved into a vital resource for engineers, computer scientists, and researchers tackling complex data in higher dimensions, such as images, videos, and volumetric signals. Its focus on innovative algorithms, filter design, and transform methods addresses real-world challenges in digital signal processing, making it indispensable for professionals in electrical engineering and related disciplines.

The journal's reputation is bolstered by its commitment to high-quality, peer-reviewed publications that bridge theory and practice. Researchers value its interdisciplinary approach, which integrates mathematics, computer science, and engineering to solve problems in areas like image compression, video coding, and multidimensional filtering. With a global readership and contributions from leading experts, publishing here enhances academic profiles and opens doors to collaborations. The editorial process emphasizes originality and technical rigor, ensuring that accepted papers contribute meaningfully to the field.

For those in multimedia and audiovisual research, Multidimensional Systems and Signal Processing provides a platform to disseminate work on emerging technologies, including machine learning applications in signal analysis and adaptive processing systems. Its impact extends to industries like telecommunications, entertainment, and biomedical imaging, where multidimensional data processing is crucial. Aspiring authors benefit from clear guidelines that streamline submissions, while the journal's indexing in major databases amplifies discoverability.

Whether exploring new transform techniques or practical implementations, this journal fosters innovation that shapes future technologies. To maximize your research's reach, consider submitting your next paper and connecting with academic opportunities in engineering fields. Discover relevant higher education jobs to advance your career alongside your publications.

Overview & History

Launched in 1990, Multidimensional Systems and Signal Processing was founded to address the growing need for specialized research on signals beyond one dimension. Published by Springer in Germany, it has grown from quarterly issues to a respected bimonthly publication. Over the decades, it has chronicled advancements from early wavelet transforms to modern deep learning integrations in multidimensional contexts. Key milestones include special issues on multidimensional image processing in the early 2000s and recent emphases on real-time audiovisual applications. Today, it serves a diverse international audience, with submissions from Europe, Asia, and North America driving its content.

Scope and Disciplines Covered

The journal encompasses a broad spectrum of topics centered on the theory, design, and implementation of systems for processing multidimensional signals. Core areas include filter banks, sampling theory, and optimization techniques tailored to images, videos, and higher-dimensional data. It welcomes papers on applications in multimedia compression, noise reduction, and feature extraction for audiovisual content.

Contributions must demonstrate novelty and relevance to practical or theoretical advancements in these areas.

Key Journal Metrics

These metrics reflect the journal's influence and selectivity, with steady growth in citations over the past five years.

Indexing and Abstracting

Multidimensional Systems and Signal Processing is indexed in prestigious databases, ensuring wide accessibility. It appears in Web of Science (Science Citation Index Expanded), Scopus, and INSPEC. Additional coverage includes DBLP for computer science references and MathSciNet for mathematical aspects. Researchers can access abstracts via the official journal homepage, Google Scholar, and EI Compendex. This indexing supports comprehensive discoverability and citation tracking for published works.

• Web of Science: Full coverage since inception.
• Scopus: High citation metrics available.
• Other: Zentralblatt MATH, Current Contents/Engineering.

Publication Model and Fees

As a hybrid journal, it offers both subscription-based and open access options. Authors can publish traditionally with no fees or choose gold open access for broader dissemination. The article processing charge (APC) for open access is €2,490 (excluding taxes), covering production and hosting. Springer supports waivers for corresponding authors from low-income countries via Research4Life. Page charges do not apply, but color figures incur additional costs unless essential. This model balances accessibility with sustainability, allowing researchers to select based on funding availability.

Submission Process and Guidelines

Submissions are handled through Springer's Editorial Manager system, accessible via the journal site. Manuscripts should be original, unpublished, and formatted in LaTeX or Word per the provided template. Key guidelines include double-blind review, maximum 20 pages, and adherence to ethical standards like ICMJE recommendations. Initial checks assess fit to scope, followed by peer review averaging 120 days. Revisions are common, with final decisions emphasizing technical soundness. For detailed instructions, consult the author guidelines section.

Editorial Board Highlights

The editorial board comprises distinguished experts in signal processing and related fields. Editor-in-Chief Dan Schonfeld from the University of Illinois at Chicago leads with expertise in image analysis. Other notable members include P. P. Vaidyanathan from Caltech, specializing in filter banks, and Maria Sabrina Cenaccolo from Italy, focusing on multidimensional transforms. The board's international composition, with representatives from the US, Europe, and Asia, ensures diverse perspectives and rigorous evaluation.

• Dan Schonfeld: Video processing and machine learning.
• P. P. Vaidyanathan: Multirate systems.
• Additional editors: Expertise in biomedical signals and communications.

Why Publish in Multidimensional Systems and Signal Processing?

Publishing here offers visibility among top researchers in multimedia and engineering. The journal's impact factor and indexing elevate career prospects, aiding tenure and funding applications. Its focus on practical applications translates research into industry innovations, such as improved video streaming algorithms. Authors gain from detailed feedback that refines work, and open access options enhance global reach. Compared to broader journals, it provides targeted exposure to niche audiences. For career growth, pair your publication with resources like Rate My Professor reviews or academic calendar planning.

Comparison with Similar Journals

This journal excels in specialized multidimensional topics, offering a balanced alternative for targeted submissions over more general outlets.

Researcher Tips for Successful Submission

To succeed, align your paper closely with the scope, emphasizing novel contributions in multidimensional contexts. Use clear mathematical formulations and validate with simulations or experiments. Avoid common pitfalls like insufficient literature review or unclear novelty statements. Engage with recent issues for trends, and consider co-authoring with board members for insights. Track deadlines via PhD programs resources. Post-submission, leverage postdoc positions to build on your work. Finally, explore tenure-track faculty jobs to apply your expertise.