SIGNAL PROCESSING

Scope & Guideline

Unlocking the Potential of Signal Analysis

Introduction

Immerse yourself in the scholarly insights of SIGNAL PROCESSING with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0165-1684
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1979 to 2025
AbbreviationSIGNAL PROCESS / Signal Process.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal SIGNAL PROCESSING focuses on the innovative and evolving field of signal processing, encompassing a broad range of applications and methodologies. By integrating theoretical and practical approaches, the journal aims to present significant advancements in both foundational and applied signal processing techniques.
  1. Signal Processing Algorithms and Methods:
    The journal emphasizes the development of novel algorithms and methodologies that enhance signal processing capabilities, including adaptive filtering, estimation techniques, and machine learning applications.
  2. Image and Video Processing:
    A core area of focus involves advanced techniques for image and video analysis, including denoising, enhancement, segmentation, and compression methods, often leveraging deep learning frameworks.
  3. Wireless Communication and Networking:
    Research on signal processing techniques for wireless communications is prominent, addressing challenges such as channel estimation, beamforming, and interference mitigation in various communication scenarios.
  4. Multimodal and Cross-Domain Signal Processing:
    The journal explores the integration of different signal modalities (e.g., audio, visual, and sensor data) and the development of cross-domain techniques for applications such as remote sensing and surveillance.
  5. Sensor Networks and Distributed Systems:
    There is a significant emphasis on algorithms and frameworks for distributed sensor networks, focusing on data fusion, target tracking, and cooperative communication strategies.
  6. Machine Learning and AI in Signal Processing:
    The application of artificial intelligence and machine learning techniques to signal processing problems is a growing trend, with a focus on improving classification, detection, and prediction accuracy.
The landscape of signal processing is constantly evolving, with new themes gaining traction in recent publications. This section outlines the emerging scopes that are reflecting the current trends in the field.
  1. Deep Learning Applications:
    There is a marked increase in research applying deep learning techniques to various signal processing tasks, including image enhancement, speech recognition, and classification problems.
  2. Multimodal Data Fusion:
    The integration of data from multiple modalities is increasingly being explored, facilitating improved performance in applications such as surveillance, autonomous driving, and environmental monitoring.
  3. Adaptive and Smart Signal Processing:
    Emerging techniques that adapt to changing conditions in real-time, such as adaptive filtering and intelligent signal processing systems, are gaining prominence as they offer enhanced performance in dynamic environments.
  4. Privacy and Security in Signal Processing:
    Research addressing privacy concerns and security measures in signal processing applications, particularly in communications and data transmission, is becoming increasingly relevant.
  5. Robustness Against Noise and Interference:
    There is a growing trend towards developing algorithms that maintain performance robustness in the presence of noise and interference, especially in real-world applications.

Declining or Waning

While SIGNAL PROCESSING continues to evolve, certain areas of research are becoming less prominent compared to emerging trends. This section highlights themes that appear to be waning in frequency or significance.
  1. Traditional Statistical Methods:
    There is a noticeable decline in the publication of papers focusing solely on traditional statistical methods for signal processing, as the field shifts towards more computationally intensive approaches, particularly those involving machine learning.
  2. Low-Complexity Linear Techniques:
    Research centered on simplistic linear techniques for signal processing appears to be decreasing, as more complex and adaptive methodologies gain prominence.
  3. Basic Image Processing Techniques:
    The focus on fundamental image processing techniques, such as basic filtering and simple transformations, is diminishing in favor of more sophisticated methods that utilize deep learning and advanced algorithms.
  4. Conventional Time-Frequency Analysis:
    Interest in classical time-frequency analysis methods is declining, possibly due to the rise of more effective adaptive and learning-based approaches that provide better performance in dynamic environments.

Similar Journals

Physical Communication

Advancing the Frontiers of Communication Technology
Publisher: ELSEVIERISSN: 1874-4907Frequency: 6 issues/year

Physical Communication is a leading academic journal published by Elsevier, focusing on the innovative field of electrical and electronic engineering. With an ISSN of 1874-4907 and ranking in the Q2 category for 2023, this journal is recognized within the top tiers of its discipline, currently holding the 260th rank out of 797 in Scopus rankings, and situated in the 67th percentile. The journal seeks to disseminate high-quality research articles that explore various aspects of physical communication technologies and methodologies, providing a vital platform for academia and industry practitioners alike. Although it does not currently operate on an open access basis, the journal's emphasis on rigorous peer-review and high-impact content ensures that it remains a cornerstone for advancements in understanding the dynamic interplay between physical principles and communication technologies. Based in the Netherlands since its inception in 2008, Physical Communication aims to foster discussions that drive innovation in communication systems, thereby serving as an essential resource for researchers, professionals, and students dedicated to pushing the boundaries of this exciting field.

International Journal of Electronics and Telecommunications

Empowering Innovation in Communication Technologies
Publisher: POLSKA AKAD NAUK, POLISH ACAD SCIENCESISSN: 2081-8491Frequency: 4 issues/year

Welcome to the International Journal of Electronics and Telecommunications, a prominent publication dedicated to the evolving fields of electronics, telecommunications, and computer networks. Established by the Polska Akademia Nauk (Polish Academy of Sciences), this journal is committed to fostering academic research and technological advancements within these crucial domains. As of 2023, it holds a Q4 ranking in both Computer Networks and Communications and Electrical and Electronic Engineering, showcasing its role as a platform for emerging ideas and groundbreaking studies. With an Open Access model implemented since 2013, it enhances the visibility and accessibility of its articles, encouraging a broader impact and collaboration among researchers, professionals, and students alike. The journal serves as an important resource for those interested in the intersection of technology and communications, and it continues to contribute to the academic dialogue surrounding these vital sectors.

Radioengineering

Unlocking the potential of signal processing and electromagnetic theory.
Publisher: SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVIISSN: 1210-2512Frequency: 4 issues/year

Radioengineering is a prominent academic journal published by SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, focusing on the fields of electrical and electronic engineering. Established in 1992, this open access journal aims to disseminate high-quality research and innovative developments in radioengineering and related disciplines. With an inclusive readership from around the world, it has been integral in fostering advancements in technologies such as wireless communication, signal processing, and electromagnetic theory. The journal's commitment to accessibility is underscored by its open access policy, allowing scholars and practitioners to freely engage with the latest findings. As of 2023, *Radioengineering* holds a Q3 quartile ranking in its field with a Scopus rank of #500/797, placing it within the 37th percentile among its peers. Researchers, professionals, and students engaged in electrical and electronic engineering will find *Radioengineering* an essential resource for both theoretical insights and practical applications. For further information, submissions, and access to articles, please visit the journal’s site linked through the CZECH TECHNICAL UNIVERSITY, located in Prague, Czech Republic.

SIGNAL PROCESSING-IMAGE COMMUNICATION

Exploring the Synergy of Vision and Communication
Publisher: ELSEVIERISSN: 0923-5965Frequency: 10 issues/year

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

IRBM

Exploring the Frontiers of Biomedical Research and Innovation
Publisher: ELSEVIER SCIENCE INCISSN: 1959-0318Frequency: 6 issues/year

IRBM, published by Elsevier Science Inc, stands at the forefront of research in the domains of Biomedical Engineering and Biophysics, boasting impressively high rankings with a Q1 category in both fields according to the 2023 evaluations. With an effective focus on cutting-edge innovations and methodologies, IRBM provides a vital platform for researchers, professionals, and students alike seeking to disseminate and access groundbreaking findings and developments. Its strong presence in the Scopus database, with ranks of #12 in Biochemistry, Genetics and Molecular Biology and #42 in Biomedical Engineering, places it in the top percentile of impactful journals in the field, making it a crucial resource for advancing knowledge and fostering collaboration. While the journal maintains a traditional subscription model, it continues to attract a diverse readership eager for insightful studies and reviews that push the boundaries of science and engineering. With a projected convergence of years extending to 2024, IRBM promises to remain a significant contributor to the ongoing dialogue in the life sciences.

Journal of Signal Processing Systems for Signal Image and Video Technology

Exploring the Intersection of Technology and Methodology.
Publisher: SPRINGERISSN: 1939-8018Frequency: 12 issues/year

Journal of Signal Processing Systems for Signal Image and Video Technology, published by SPRINGER, is a leading interdisciplinary journal dedicated to advancing research and development in the fields of signal processing, image processing, and video technology. With an ISSN of 1939-8018 and an E-ISSN of 1939-8115, this journal emphasizes both theoretical and practical applications, boasting a wide scope that ranges from control and systems engineering to hardware architecture. Since its inception in 2008, it has gained a solid reputation, reflected in its 2023 category quartile rankings—including Q2 in Control and Systems Engineering and Q3 in Signal Processing—demonstrating its significance within the academic community. The journal is underpinned by a commitment to open access, promoting broad dissemination of knowledge, and is particularly vital for researchers, professionals, and students looking to contribute to and stay updated in these rapidly evolving fields. With ongoing explorations into the convergence of technology and methodology until 2024, the journal stands as a crucial resource for the latest innovations and discussions in signal processing systems.

Signal Image and Video Processing

Transforming Data into Visual Masterpieces
Publisher: SPRINGER LONDON LTDISSN: 1863-1703Frequency: 4 issues/year

Signal Image and Video Processing, published by Springer London Ltd, is a cutting-edge academic journal dedicated to the fields of electrical and electronic engineering and signal processing. With an ISSN of 1863-1703 and an E-ISSN of 1863-1711, this journal plays a pivotal role in disseminating innovative research findings from 2007 to 2024, boasting a commendable Q2 ranking in its respective categories. Located in the United Kingdom, the journal attracts a diverse readership of researchers, professionals, and students eager to explore advancements in signal processing technologies and their applications in imaging and video analysis. Although it does not offer open access, its rigorous peer-review process ensures the publication of high-quality, impactful research, evident by its respectable rankings within Scopus in both electrical engineering and computer science domains. The journal serves as vital resource for those aiming to stay at the forefront of technological developments and research in image and video processing.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Illuminating the Future of Image Processing
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 1047-3203Frequency: 8 issues/year

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, published by Academic Press Inc Elsevier Science, is an influential platform dedicated to the realms of visual communication, media technology, and advanced image representation. With a strong focus on interdisciplinary approaches, this journal aims to foster the exchange of innovative ideas among researchers and professionals in the fields of computer vision, image processing, and signal processing. Recognized for its significance, it boasts an impressive impact factor within its category quartiles; notably, it ranks Q2 in Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, while achieving Q1 in Media Technology. Based in the United States, the journal not only provides valuable insights into the latest developments from 1990 to 2024 but also encourages cutting-edge research that enhances multimedia systems and user interactions. As a vital resource for students, researchers, and industry professionals alike, the journal ensures a robust understanding of visual information processing, critical for navigating today's digital landscape.

IEEE Journal of Selected Topics in Signal Processing

Shaping the Future of Signal Processing Research
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: 1932-4553Frequency: 6 issues/year

IEEE Journal of Selected Topics in Signal Processing is a premier academic publication dedicated to the advancement of knowledge in the field of signal processing. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, the journal boasts an impressive impact factor that places it in the top tier of its category; ranked Q1 in both Electrical and Electronic Engineering and Signal Processing for 2023. Given its esteemed standing, the journal serves as a vital resource for researchers, professionals, and students alike, providing cutting-edge insights and developments that shape the future of signal processing. The journal encompasses a wide array of topics relevant to the evolving landscapes of electrical engineering and computer science, with particular significance in innovative applications and methodologies. As a platform for disseminating high-quality research, this journal remains essential for those seeking to stay at the forefront of this dynamic field. You can explore the latest contributions and findings, benefiting from the journal's influential status in the realm of signal processing.

EURASIP Journal on Wireless Communications and Networking

Connecting Ideas, Transforming Networks
Publisher: SPRINGERISSN: 1687-1472Frequency: 1 issue/year

The EURASIP Journal on Wireless Communications and Networking, published by Springer, stands as a pivotal platform dedicated to advancing the field of wireless communications and networking. With an ISSN of 1687-1472 and E-ISSN of 1687-1499, this Open Access journal has been disseminating high-quality research since 2004, ensuring broad accessibility for scholars and professionals worldwide. Maintaining an esteemed position in the academic community, it is classified in the Q2 quartile for 2023 across critical categories including Computer Networks and Communications, Computer Science Applications, and Signal Processing. The journal's performance is reflected in its Scopus rankings, which place it in the 73rd percentile for Computer Networks and Communications and the 72nd percentile for both Computer Science Applications and Signal Processing. With a focus on innovative research and practical applications, the EURASIP Journal is an essential resource for anyone seeking to contribute to or stay informed in the dynamic landscape of wireless communication technology.