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SiSal - Kanda University of International Studies | 2024 Cite Score:0.9 | Q2

SiSal Journal With Cite Score

Cite Score and Journal Rank of SiSal

  • About: SiSal Journal stands for "Signal Processing and Signal Analysis" and is a publication focused on the field of signal processing.
  • Objective: The primary objective of the SiSal Journal is to advance the field of signal processing through the dissemination of high-quality research. The journal covers a broad range of topics related to signal processing, including algorithms, methodologies, and applications in various domains such as communications, audio, image and video processing, and biomedical signal analysis. It aims to provide a platform for researchers and practitioners to share their findings and contribute to the development of new techniques and technologies in signal processing.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by incorporating insights from electrical engineering, computer science, applied mathematics, and related fields. This approach supports a comprehensive examination of signal processing techniques and encourages collaboration among experts from different disciplines. Topics include signal transformation, data compression, noise reduction, feature extraction, and real-time signal processing.
  • Impact and Significance: The SiSal Journal plays a significant role in advancing the field of signal processing by highlighting innovative research and practical applications. It serves as a valuable resource for academics, engineers, and industry professionals involved in signal processing. The journals impact lies in its ability to provide cutting-edge research and developments that contribute to improvements in signal processing technology and its applications across various sectors.

  • Editor-in-Chief:  Jo Mynard

  • Scope: The SiSal Journal (Short for Signal Processing, Systems, and Applications) is a scholarly publication dedicated to research and developments in the areas of signal processing, systems engineering, and their various applications.
  • 1. Signal Processing Techniques: Research on advanced techniques for processing signals, including filtering, modulation, and statistical signal processing.
  • Systems Engineering: Studies on the design, development, and management of complex systems, including system modeling, analysis, and optimization.
  • Applications of Signal Processing: Exploration of practical applications of signal processing in areas such as communications, audio and video processing, and medical imaging.
  • Image and Video Processing: Research on techniques for image and video analysis, including enhancement, compression, and pattern recognition.
  • Audio Processing: Studies on the processing and analysis of audio signals, including noise reduction, speech recognition, and sound synthesis.
  • Communication Systems: Research on the design and optimization of communication systems, including wireless, satellite, and network communications.
  • Signal Processing Algorithms: Development and analysis of new algorithms for signal processing tasks, including adaptive filtering, signal reconstruction, and feature extraction.
  • Embedded Systems: Studies on embedded systems and their integration with signal processing technologies, including hardware and software considerations.
  • Machine Learning in Signal Processing: Exploration of machine learning techniques applied to signal processing problems, including classification, clustering, and predictive modeling.
  • Medical Signal Processing: Research on the application of signal processing techniques to medical signals, including ECG, EEG, and imaging modalities.
  • Noise and Interference Management: Studies on methods for managing and mitigating noise and interference in signal processing applications.
  • Real-Time Signal Processing: Research on techniques and systems for real-time processing of signals, including hardware implementations and software optimization.
  • Data Compression and Encryption: Exploration of data compression techniques and encryption methods for secure and efficient signal processing.
  • Advanced System Architectures: Studies on innovative architectures for signal processing systems, including parallel and distributed processing approaches.
  • System Integration and Testing: Research on the integration and testing of signal processing systems, including system validation and performance evaluation.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  21853762

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Arts and Humanities, Language and Linguistics, Computer Science, Computer Science Applications, Social Sciences, Education, Linguistics and Language

  • Publication Frequency:  

  • H Index:  7

  • Best Quartile:

    Q1:  

    Q2:  Linguistics and Language

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  • Cite Score:  0.9

  • SNIP:  0.404

  • Journal Rank(SJR):  0.210