Teaching Digital Signal Processing With a Challenge on Image Forensics

被引：7

作者：

Pasquini, Cecilia ^{[1
]}

Boato, Giulia ^{[2
,3
,4
,5
]}

Boehme, Rainer ^{[6
,7
]}

机构：

[1] EURASIP, Special Area Teams Biometr Data Forens & Secur, London, England

[2] Univ Trento, Dept Informat Engn & Comp Sci, Trento, Italy

[3] Natl Interuniv Consortium Telecommun, Parma, Italy

[4] IEEE, Multimedia Signal Proc Tech Comm, Piscataway, NJ USA

[5] IEEE, Informat Forens & Se cur Tech Comm, Piscataway, NJ USA

[6] Univ Innsbruck, Dept Comp Sci, Secur & Privacy, Innsbruck, Austria

[7] Univ Munster, Informat Syst, Munster, Germany

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2019年 / 36卷 / 02期

关键词：

This work was supported by the EUREGIO Mobility Fund 2017; the Miur-FFABBR 17; and the Deutsche Forschungsgemeinschaft. We would like to thank all of the participants and the teaching staff who contributed to the implementation of the challenge; in particular Quoc Tin Phan and Alain Malacarne. Our appreciation is also given to Dr. Thomas Gloe of dence GmbH; Germany; for joining the final event as the invited speaker;

D O I：

10.1109/MSP.2018.2887214

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the advent of ubiquitous sensing and real-time data processing, the demand for engineers with solid signal processing skills has exceeded the supply by a large margin. However, even students in technical subjects often perceive signal processing as demanding and somewhat dry [4]. In many curricula, signal processing must compete with more attractive classes, such as hands-on courses on programming, robotics, or computer graphics. Hence, new directions in signal processing education are needed [1], [9], [10]. © 1991-2012 IEEE.

引用

页码：101 / 109

页数：9

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