Digital Signal Processing Laboratory for Real-Time Systems Design and Implementation

实时系统设计与实现的数字信号处理实验室

• 批准号: 9952720
• 负责人: David Waldo
• 金额: $ 3.76万
• 依托单位: Oklahoma Christian University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-01 至 2002-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9952720&HistoricalAwards=false
• 关键词: Digital; Signal; Processing; Laboratory; Real

Engineering - Electrical (55)Real-time digital signal processing (DSP) embedded systems are becoming more pervasive throughout the engineering design industry. DSP is a major tool used in electrical engineering design solutions. Because of the increased reliance on digital systems in engineering solutions, the demands on signal processing continue to increase. It is of utmost importance that many of these systems operate in real-time. However, in most DSP curricula, the importance of real-time is not emphasized. It is the goal of this project to develop a laboratory that supports the design and implementation of real-time systems. This laboratory supports a three course sequence in DSP with accompanying hands-on laboratories. The first course focuses on DSP fundamentals and DSP algorithm implementation. The second course deals with real-time DSP issues such as real-time operating systems (RTOS), DSP architectures, parallel processors, system and software design issues, optimization, and programming techniques. The third course extends the fundamentals and real-time issues to adaptive signal processing topics that require real-time processing. This laboratory also supports the communications curriculum as well as the capstone design courses. Material developed for the laboratory is being distributed electronically through the internet.Material adapted in the DSP courses are primarily from three sources: 1) DSP Fundamentals course offered at the University of Massachusetts at Dartmouth, 2) the two courses Real-Time DSP Design and Adaptive Filtering offered at Georgia Institute of Technology and 3) DSP Teaching Kit and Design Workshop notes developed by Texas Instruments. Course syllabi, notes and laboratory experiments from these three sources are adapted to meet the objectives of the proposed DSP courses. The DSP Fundamentals course is providing materials for hands-on learning of DSP basics through real-time experimentation. Real-Time DSP Design provides the methodology to foster team work and real-time system design techniques. Adaptive Filtering is helping to promote advanced theory at the undergraduate level, and the materials from Texas Instruments is providing the tie to implementing all the systems in a real-time DSP hardware system.

工程-电气(55)实时数字信号处理(DSP)嵌入式系统在整个工程设计行业中变得越来越普遍。数字信号处理器是电气工程设计解决方案中使用的主要工具。由于工程解决方案对数字系统的依赖程度越来越高，对信号处理的要求也在不断增加。至关重要的是，这些系统中的许多系统都是实时运行的。然而，在大多数的数字信号处理器课程中，没有强调实时的重要性。该项目的目标是开发一个支持实时系统设计和实现的实验室。本实验支持三门课程的数字信号处理器，以及相应的动手实验。第一门课程重点介绍数字信号处理器的基本原理和数字信号处理器的算法实现。第二门课程讨论实时DSP问题，如实时操作系统(RTOS)、DSP体系结构、并行处理器、系统和软件设计问题、优化和编程技术。第三门课程将基础知识和实时问题扩展到需要实时处理的自适应信号处理主题。该实验室还为通信课程和顶石设计课程提供支持。为实验室开发的材料正通过互联网以电子方式分发。用于数字信号处理器课程的材料主要来自三个来源：1)达特茅斯的麻省大学开设的数字信号处理器基础课程；2)佐治亚理工学院提供的两门课程：实时数字信号处理器设计和自适应滤波；3)得克萨斯仪器公司开发的数字信号处理器教学工具包和设计研讨会笔记。对这三个来源的课程大纲、笔记和实验室实验进行了调整，以满足拟议的数字信号处理课程的目标。《数字信号处理器基础》课程通过实时实验提供了学习数字信号处理器基本知识的实践材料。实时DSP设计提供了促进团队合作和实时系统设计技术的方法论。自适应滤波有助于在本科生水平上推广先进的理论，而德州仪器的材料提供了在实时DSP硬件系统中实现所有系统的纽带。