Undergraduate Instructional Laboratory in Digital Signal Processing
Undergraduate Instructional Laboratory in Digital Signal Processing
批准号:
9552324
负责人:
Thomas Holton
金额:
$1.86万
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
项目状态:
已结题
起止时间:
1995-09-01 至 1997-08-31
中文摘要
本计画建立一个数位讯号处理(DSP)本科教学实验室。 该实验室为学生提供DSP概念和技术方面的实用动手培训,使用现代硬件和软件设计工具,补充DSP讲座课程的理论方法。 该实验室使用PC型工作站与附加的DSP处理板和补充软件,以提供非实时和实时DSP环境的算法开发和测试。 新的实验室课程由十几个实验室练习组成,在学期中大约每周一次,每个练习强调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 并将这些模拟结果与理论预测进行比较。 然后,他们使用硬件/软件系统以真实的时间实现这些相同的DSP程序,该硬件/软件系统允许他们以图形方式对DSP协处理器卡进行编程。 学生有机会看到和听到应用实时DSP程序的结果,以现实世界的信号,如语音和音乐。 拟议中的实验室增强和增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产品。
英文摘要
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.
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