Cutting edge technologies for the generation, transformation, and interpretation of information are enabled by the analysis and modeling of data representation of physical events. These techniques are studied and developed under the branch of electrical engineering known as Signal Processing. This track covers the theoretical and practical aspects of signal processing systems, analog and digital. This special session challenges in providing a valuable opportunity for signal processing researchers and practitioners to collaborate, elaborate and gain advanced knowledge in a wide variety of application areas with a common interest in improving signal processing in every aspect behind our digital lives, such as speech and audio processing, hearing aids, image processing and analysis, wearables, data science, autonomous driving and communications systems and networks.
Researchers are hereby invited to submit a full paper (5–6 pages) detailing their research, or a short paper (max 4 pages) describing their work-in-progress. All submitted papers will be subject to peer reviewing by at least two reviewers for technical merit, significance and relevance to the topics. Paper preparation guidelines are available in the author information webpage for CEEC’18. Submission implies the willingness of at least one author per paper to register, attend the conference and present the paper.
Proceedings will be submitted to IEEE Xplore after the conference for publication. Authors of selected articles will be invited to submit an extended version to a Special Issue of the Computers Journal.
This special session welcomes submissions of computational methods applied (but not limited) to the following topics:
Signal processing in control communications systems
3-D Image processing systems
Signal processing in security applications
Signal processing in energy and power systems
Signal processing for social media networks
Seismic signal processing
Graph-theoretic signal processing
Big data processing
Multimedia transmission, indexing and retrieval systems
Real-time DSP architecture implementations
Soft computing methods in modelling
Neural networks
Fuzzy techniques (single or multiple objective)
Hybrids of soft computing systems
Smart systems, sensors, actuators and distributed systems
Intelligent agents Real-time aspects of intelligent control
Constructive algorithms
Structures for soft-computing
Parallel processing
Reconfigurable control (FPGA or Multi-core)
Signal processing in optical communications systems
Stereoscopic movie processing systems
Signal processing in digital finance systems
Signal processing in genomics and bioengineering
Neural signal processing
Statistical signal processing
Artificial intelligence systems ( algorithmic and architectural)
Heterogeneous information processing
Signal processing of control networking systems
Adaptive systems identification
Robust control systems
Evolutionary computing
Emerging soft computing techniques
Hybrid uses of conventional and soft-computing methods
Fault management and knowledge processing and representation
Training and adaptation algorithms
Architectures for real-time soft-control