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Vector-valued signals are crucial in science and engineering. The evolving field of hypercomplex signal processing, particularly quaternion algebra, offers a concise and natural approach to handling vectorial data. In multicomponent seismology, for instance, vector-valued signal processing finds a natural fit that has been exploited in several applications.
This article aims to identify core research directions and provide a comprehensive overview of major advancements in the field of hypercomplex signal and image processing techniques using network graph theory. The methodology employs community detection algorithms on research networks to uncover relationships among researchers and topic fields in the hypercomplex domain.
Novel computational signal and image analysis methodologies based on feature-rich mathematical/computational frameworks continue to push the limits of the technological envelope, thus providing optimized and efficient solutions. Hypercomplex signal and image processing is a fascinating field that extends conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry.
Date: 22-24 November 2024
Location: Zhuhai, China
Date: 21 June 2024
Time: 11:00 AM ET (New York Time)
Presenter(s): Dr. Iole Moccagatta
Date: 19 & 21 June 2024
Chapter: Singapore Chapter
Chapter Chair: Corey M. Manders
Title: Personal Information Devices: Portable to wearable, Stand-alone to connected, Players to sensors, Unveil the Principle behind a Problem-Solution Pair with the Toyota Production System
Date: 9 August 2024
Chapter: Victorian Chapter
Chapter Chair: Jonathan H Manton
Title: Exploiting Statistical Hardness for Increased Privacy in Wireless Systems
Date: 14 June 2024
Time: 1:00 PM ET (New York Time)
Speaker(s): Prof. Rodrigo C. de Lamare
Date: 11 July 2024
Time: 10:00 AM ET (New York Time)
Presenter(s): Dr. Pier Luigi Dragotti, Dr. Jun-Jie Huang
Date: 8 August 2024
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Yiming Li, Dr. Junfeng Guo
Date: 3 July 2024
Time: 11:00 AM ET (New York Time)
Presenter(s): Mr. AmirEhsan Khorashadizadeh