使用基于软件的工具教授和学习数学密集型信号处理理论概念的经验

Jyoti S. Bali, Anil Kumar, V. Nandi
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引用次数: 6

摘要

本文强调了利用功能强大的软件工具进行数学密集型理论学科教学的必要性。在电气工程学科中,有信号与系统、控制系统、数字信号/图像处理等学科,教师需要花大量的时间在课堂上教授数学概念,结果学生的学习水平很低。学习者发现它非常复杂和不相关,因为单纯的讲座并不能帮助他们有效地解释所传达的信息。目前有许多这样的软件工具可用,具有强大的图形数据流编程环境,具有丰富的库函数集和仿真和实时模式的工具集。这些工具可以简化非电子专业学生在较短时间内对数学背景较强的学科的教与学。在这里,我们用LabVIEW工具展示了教师在自动化与机器人六学期学生的学习和教学中所付出的努力,以及信号采集、处理和分析技术。处理后的数据可以通过测量图、指标、动画、表格数据、自动计算、物理解释、可视化效果等方式从工具中呈现出来,从而使学习者更好地理解概念。在这里,我们展示了广泛使用工具来教授和学习用于生物医学信号的不同信号处理和分析技术的结果,以及参加活动的教师和学生分享的经验。学生在参与活动后实施的课程项目帮助教师了解了学生学习信号处理基本概念的加速过程。
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An Experience, Using Software Based Tools for Teaching and Learning Mathematically Intensive Signal Processing Theory Concepts
The paper emphasizes the need for teaching and learning mathematically intensive theory subjects using very powerful software tools. Under Electrical Engineering discipline, there are subjects like Signals & systems, Control Systems, Digital Signal/Image Processing etc. where teachers need to spend a considerable amount of time in classroom, teaching the mathematical concepts, ending up with very low level of learning by students. Learners find it very complex and unrelated as mere lecturing doesn't help them in effective interpretation of the information conveyed. There are many such software tools available nowadays having a powerful graphical data flow programming environment with a rich set of library functions and tools sets in simulation and real time mode. Such tools can simplify the teaching and learning of subjects with intense mathematical background in lesser time for the students from non-electronics stream. Here we present the efforts of teachers in learning and teaching, Signal acquisition, processing and analysis techniques for sixth semester students of Automation and Robotics in a much effective manner, using LabVIEW tool. The processed data can be presented from the tool using measurement graphs, indicators, animations, tabulated data, automated calculations, physical interpretation, visualization effects etc., thus enabling the learner with better understanding of concepts. Here we present the results of extensive use of tool to teach and learn different signal processing and analysis techniques used for biomedical signals along with the experience shared by teachers and students undergoing the activity. Course projects implemented by students after undergoing the proposed activity helped teachers to know the accelerated process of learning of the basic concepts of signal processing by students.
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