Undergraduate Instructional Laboratory in Digital Signal Processing

数字信号处理本科教学实验室

• 批准号: 9552324
• 负责人: Thomas Holton
• 金额: $ 1.86万
• 依托单位: San Francisco State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9552324&HistoricalAwards=false
• 关键词: Undergraduate; Instructional; Laboratory; Digital; Signal

This project establishes a teaching laboratory for undergraduate instruction in digital signal processing (DSP). The laboratory gives students practical, hands-on training in DSP concepts and techniques using modem hardware and software design tools that complement the more theoretical approach of a lecture course in DSP. The laboratory uses PC-type workstations with add-on DSP processing boards and a complement software to provide both non-real-time and real-time DSP environments for algorithm development and testing. The new laboratory course consists of a dozen laboratory exercises, about one per week during the semester, each emphasizing a particular topic in DSP (for example, convolution, sampling, filter design, and Fourier transformation). In the laboratory, students program non-real-time simulations of common DSP procedures using MATLAB and compare the results of these simulations with theoretical predictions. They then implement these same DSP procedures in real time using a hardware/software system that allows them to graphically program a DSP coprocessor card. Students have the opportunity to visualize and hear the results of applying real-time DSP procedures to real-world signals such as speech and music. The proposed laboratory augments and enhances offerings in the School of Engineering and the Department of Computer Science in digital signal processing, control and robotics, computer music, and multimedia.

本课题建立了数字信号处理（DSP）本科教学实验室。该实验室通过使用现代硬件和软件设计工具，为学生提供DSP概念和技术方面的实际操作培训，以补充DSP课程中更多的理论方法。该实验室使用带有附加DSP处理板和补充软件的pc型工作站，为算法开发和测试提供非实时和实时DSP环境。新的实验课程包括十几个实验练习，大约每周一次，每个都强调DSP中的一个特定主题（例如，卷积、采样、滤波器设计和傅立叶变换）。在实验室中，学生使用MATLAB编写常见DSP程序的非实时仿真程序，并将这些仿真结果与理论预测进行比较。然后，他们使用硬件/软件系统实时实现这些相同的DSP程序，该系统允许他们图形化地对DSP协处理器卡进行编程。学生有机会看到和听到将实时DSP程序应用于语音和音乐等现实世界信号的结果。拟议的实验室将增加和加强工程学院和计算机科学系在数字信号处理、控制和机器人、计算机音乐和多媒体方面的课程。