Editorial Aims and Scope

Asia-Pacific Signal and Information Processing Association (APSIPA) serves as an international forum for signal and information processing researchers across a broad spectrum of research, ranging from traditional modalities of signal processing to emerging areas where either (i) processing reaches higher semantic levels (e.g., from speech recognition to multimodal human behaviour recognition) or (ii) processing is meant to extract information from datasets that are not traditionally considered signals (e.g., mining of Internet or sensor information).

EDICS of APSIPA Transactions on Signal and Information Processing

1. Image, Video and Multimedia
  • 1.1 Analysis and Processing
  • 1.2 Compression
  • 1.3 Storage and Retrieval
  • 1.4 Forensics and Security
  • 1.5 Machine and Deep Learning
  • 1.6 Quality of Experience
  • 1.7 Computer Vision
  • 1.8 Computer Graphics
  • 1.9 Biometrics
  • 1.10 Emerging Media (Point Clouds, Virtual Reality, 360-degree Video, etc.)
  • 1.11 Others
    • 2. Speech, Language and Audio
  • 2.1 Analysis
  • 2.2 Coding
  • 2.3 Enhancement
  • 2.4 Recognition
  • 2.5 Synthesis
  • 2.6 Understanding and Dialogue
  • 2.7 Translation
  • 2.8 Language Processing and Modeling
  • 2.9 Forensics and Security
  • 2.10 Music Information Processing
  • 2.11 Machine and Deep Learning
  • 2.12 Resources
  • 2.13 Others
    • 3. Biomedical Signals and Information
  • 3.1 Analysis and Processing
  • 3.2 Imaging Techniques
  • 3.3 Neural Systems and Applications
  • 3.4 Bio-inspired Signal Processing
  • 3.5 Machine and Deep Learning
  • 3.6 Medical Information Systems
  • 3.7 Biomedical Circuits and Systems
  • 3.8 Digital Health and Telehealth
  • 3.9 Learning for Biomedical Systems
  • 3.10 Robotics and Biomechanics
  • 3.11 Others
    • 4. Signal/Information Processing Methods
  • 4.1 Detection and Parameter Estimation
  • 4.2 Array Processing
  • 4.3 Multi-channel Processing
  • 4.4 Graph Signal Processing
  • 4.5 Machine and Deep Learning
  • 4.6 Intelligent Infra-structure (Smart Grids, Smart City, etc.)
  • 4.7 Others
    • 5. Signal/Information Processing Systems
  • 5.1 Algorithm and Architecture Co-design
  • 5.2 Graph Algorithms and Architectures
  • 5.3 Embedded Systems
  • 5.4 Cloud and Reconfigurable Computing
  • 5.5 Mobile and Edge Computing
  • 5.6 Parallel Computing and Multicore Systems
  • 5.7 Learning for Optimization of Signal and Information Processing Architectures
  • 5.8 Machine and Deep Learning Accelerators
  • 5.9 Low Complexity or Low Power Systems
  • 5.10 VLSI Systems and Applications
  • 5.11 Nanoelectronics
  • 5.12 Gigascale Systems
  • 5.13 Others
    • 6. Communications and Networking
  • 6.1 Signal and Information Processing
  • 6.2 Machine and Deep Learning
  • 6.3 Intelligent Resource Allocation
  • 6.4 Edge Intelligence
  • 6.5 Security, Authentication and Privacy
  • 6.6 Cyber-Physical Systems
  • 6.7 Standards and Emerging Technologies
  • 6.8 Others

    • About this journal

    Journal Home Editorial Aims Editorial Board Submission Instructions LaTeX Style Files Alert Me Publishing Ethics OA Policy Review Policy