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APSIPA Transactions on Signal and Information Processing - Cambridge University Press | 2024 Impact Factor: 3.2 | Cite Score:5.4 | Q2

APSIPA Transactions on Signal and Information Processing Journal With Cite Score

Cite Score and Journal Rank of APSIPA Transactions on Signal and Information Processing

  • About: The APSIPA Transactions on Signal and Information Processing (ATSIP) is a peer-reviewed journal that focuses on advancements and innovations in signal and information processing. It covers a broad spectrum of topics including digital signal processing, image and video processing, speech and audio processing, multimedia systems, machine learning for signal processing, information theory, and applications of signal processing in various domains.
  • Objective:
    The primary objective of the journal is to provide a platform for researchers, engineers, and practitioners to publish high-quality research papers, reviews, and case studies that contribute to the understanding and development of signal and information processing technologies. It aims to foster collaboration and knowledge exchange among experts from academia, industry, and research institutions.
  • Interdisciplinary Approach:
    APSIPA Transactions on Signal and Information Processing (ATSIP) adopts an interdisciplinary approach, integrating insights and contributions from fields such as electrical engineering, computer science, mathematics, communication systems, and biomedical engineering. This collaborative perspective enables comprehensive exploration and innovation in signal processing methodologies, algorithms, and applications.
  • Impact:
    The journal significantly impacts both academia and industry by influencing the development of new signal processing techniques, systems, and applications. Its publications contribute to advancements in communication technologies, multimedia systems, medical imaging, sensor networks, and other areas where signal and information processing plays a crucial role.
  • Significance:
    APSIPA Transactions on Signal and Information Processing (ATSIP) is significant in advancing the field of signal and information processing by disseminating authoritative research findings and practical insights. By publishing high-quality, peer-reviewed articles, the journal supports continuous improvement and innovation in signal processing technologies, ultimately contributing to enhanced communication systems, information security, healthcare diagnostics, and technological advancements worldwide.

  • Editor-in-Chief:  C.-C. Jay Kuo

  • Scope: The APSIPA Transactions on Signal and Information Processing journal covers a wide range of topics related to signal processing and information processing technologies. Here is an overview of the key areas typically covered in the journal:
  • 1. Signal Processing Theory and Methods:
    Signal analysis, representation, and transformation
    Time-frequency analysis and wavelet transforms
    Statistical signal processing and machine learning techniques
  • 2. Image and Video Processing:
    Image and video analysis, coding, and compression
    Multimedia systems and applications
    Computer vision and pattern recognition
  • 3. Audio and Speech Processing:
    Audio signal analysis, coding, and synthesis
    Speech recognition and synthesis
    Music information retrieval
  • 4. Array and Multichannel Signal Processing:
    Array signal processing and beamforming techniques
    Multichannel system analysis and processing
    Radar and sonar signal processing
  • 5. Information Theory and Coding:
    Information theory and coding theory
    Error control coding and cryptography
    Network coding and distributed source coding
  • 6. Signal Processing Applications:
    Biomedical signal processing and imaging
    Sensor networks and IoT signal processing
    Signal processing for communications and networking
  • 7. Machine Learning and Data Science:
    Deep learning algorithms and applications in signal processing
    Data-driven signal processing techniques
    Big data analytics and signal processing
  • 8. Emerging Technologies and Innovations:
    Quantum signal processing
    AI and machine learning in signal and information processing
    Blockchain applications in signal processing
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  20487703

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  3.2

  • Subject Area and Category:   Computer Science, Information Systems, Signal Processing

  • Publication Frequency:  

  • H Index:  29

  • Best Quartile:

    Q1:  

    Q2:  Information Systems

    Q3:  

    Q4:  

  • Cite Score:  5.4

  • SNIP:  1.134

  • Journal Rank(SJR):  0.604