Geometric Algebra in Signal Processing

Submission Deadline: 02 October 2020

IEEE Access invites manuscript submissions in the area of Geometric Algebra in Signal Processing.

Geometric algebra (GA) is the proper algebra to handle geometric elements and their transformations. It is a coherent body of concepts and methods that works for any dimension, and has great algebraic and algorithmic power, but is fundamentally simple. Since these features are lacking in the currently taught geometric methods at any level, there are strong reasons to see geometric algebra as the geometric language of choice for the 21st century and to strive for its wide acceptance in education and research.

This Special Section on geometric algebra in signal processing is intended to help bridge the gap between geometric algebra and signal processing research communities by providing a forum for high-quality research articles that explore challenges faced in this overlap. The Special Section is an opportunity to foster increased dialogue between these research communities and encourage new and exciting avenues of research that span across them.

The topics of interest include, but are not limited to:

  • Applications of GA to image processing
  • Applications of GA to medical images
  • Applications of GA to wireless networks
  • Applications of GA to computer vision
  • Applications of GA to artificial neural networks
  • Applications of GA to image understanding
  • Applications of GA to target tracking
  • Applications of GA to intelligent vision systems
  • Applications of GA to multimedia
  • Applications of GA to deep learning
  • Applications of GA to communication

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

 

Associate Editor: Wenming Cao, Shenzhen University, Shenzhen, China

Guest Editors:

    1. Zhihai He, Missouri University, USA
    2. Mylène C.Q. Farias, University of Brasília (UnB), Brasília – DF, Brazil
    3. Guitao Cao, East China Normal University, China
    4. Guoping Qiu, University of Nottingham, Nottingham, UK
    5. Daquan Feng, Shenzhen University, Shenzhen, China

 

Relevant IEEE Access Special Sections:

  1. Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions
  2. Emerging Trends, Issues and Challenges for Array Signal Processing and Its Applications in Smart City
  3. Biologically inspired image processing challenges and future directions


IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

For inquiries regarding this Special Section, please contact: wmcao@szu.edu.cn.