面向人工智能的数字信号处理课程案例设计

人工智能(AI)技术已经大量应用于电子信息类专业中的信号处理、机器视觉等方面。针对当前信号处理类课程缺乏与AI交叉的现状,该文从信号与信息处理基础课程出发,融合前沿的AI教学案例,这对培养电子信息类AI人才具有重要意义。鉴于数字信号处理(DSP)是人工智能的专业方向课程,该文结合人工智能专业的知识体系与课程设置,在经典的DSP课程框架基础上,设计以“数据学习”为导向的教学案例,探索面向人工智能的“信号分析与处理+AI案例”教学新模式。课堂教学实践表明,引入AI案例的课程知识体系不仅可以拓展DSP课程的知识面,更重要的是,能够让电子信息类专业的学生更顺利地过渡到人工智能的核心课程体系。

Artificial intelligence(AI) technology has been widely used in signal processing and machine vision which belongs to electronic information majors. Aiming at the current situation where signal processing courses lack crossover with AI,this paper starts from signal and information processing basic courses and integrates cutting-edge AI teaching cases, which is of great significance for cultivating electronic information AI talents. In view of the fact that "digital signal processing"(DSP) is a professional course of artificial intelligence, this paper considers the knowledge system and curriculum of artificial intelligence, designs "data learning"-oriented teaching caseson the basis of the classic DSP course framework, and explores the new teaching model of "signal analysis and processing + AI cases" for artificial intelligence. Classroom teaching practice shows that the curriculum knowledge system with introduction of AI cases not only expands the knowledge of DSP courses, but more importantly, enables students majoring in electronic information to more smoothly transition to the core curriculum system of artificial intelligence.