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Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools
IEEE Signal Processing Magazine ( IF 14.9 ) Pub Date : 2021-04-28 , DOI: 10.1109/msp.2021.3058634
Ales Prochazka , Oldrich Vysata , Vladimir Marik

Rapid progress in the development of technological and computational tools has motivated substantial changes in the educational approach to the different disciplines of signal, image, and video processing. Moreover, the parallel evolution of sensor systems, data acquisition methods, and computational intelligence has emphasized the importance of signal processing and information engineering, particularly its role in integrating different scientific disciplines through the use of a common set of tools and underlying mathematics. Modern educational courses follow these trends and generally combine the teaching of fundamental computational methods of signal and system modeling with applications to selected case studies. The unifying idea is to apply similar mathematical methods for data processing in completely diverse areas. Emerging methods used in education contribute to this progress, and they provide opportunities to bring together specialists from different disciplines. New technologies facilitate real or virtual activities through excursions to remote laboratories, allowing the demonstration of robotic and speech recognition systems, for example. Participation in seminars, videoconferences, and discussions during colloquia meetings, when included in educational courses, can form further progressive and attractive teaching methods for the rapidly developing interdisciplinary area of signal processing.

中文翻译:

整合计算智能和数字信号处理在教育中的作用:新兴技术和数学工具

技术和计算工具开发的飞速发展促使对信号,图像和视频处理的不同学科的教育方法发生了重大变化。此外,传感器系统,数据采集方法和计算智能的并行发展强调了信号处理和信息工程的重要性,尤其是其通过使用一组通用工具和基础数学方法在整合不同科学学科中的作用。现代教育课程顺应了这些趋势,并且通常将信号的基本计算方法和系统建模的教学与所选案例研究的应用相结合。统一的想法是在完全不同的领域中应用类似的数学方法进行数据处理。教育中使用的新兴方法为这一进步做出了贡献,它们为将来自不同学科的专家召集在一起提供了机会。新技术通过游览远程实验室来促进真实或虚拟活动,例如,可以演示机器人和语音识别系统。参加研讨会,电视会议和座谈会期间的讨论(如果包含在教育课程中)可以为迅速发展的信号处理跨学科领域形成进一步的进步和有吸引力的教学方法。例如,可以演示机器人和语音识别系统。参加研讨会,电视会议和座谈会期间的讨论(如果包含在教育课程中)可以为迅速发展的信号处理跨学科领域形成进一步的进步和有吸引力的教学方法。例如,可以演示机器人和语音识别系统。参加研讨会,电视会议和座谈会期间的讨论(如果包含在教育课程中)可以为迅速发展的信号处理跨学科领域形成进一步的进步和有吸引力的教学方法。
更新日期:2021-04-30
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