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

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。 DSP是电气工程设计解决方案中使用的主要工具。 由于在工程解决方案中对数字系统的依赖越来越大，对信号处理的要求也在不断增加。 至关重要的是，这些系统中有许多是实时运行的。 然而，在大多数DSP课程中，实时的重要性并没有得到强调。 本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。 该实验室支持DSP的三门课程序列，并附带动手实验室。 第一门课程侧重于DSP基础和DSP算法实现。 第二门课程涉及实时DSP问题，如实时操作系统（RTOS），DSP架构，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。 该实验室还支持通信课程以及顶点设计课程。 为实验室开发的材料通过互联网以电子方式分发。DSP课程中采用的材料主要来自三个来源：1）达特茅斯的马萨诸塞州大学提供的DSP基础课程，2）格鲁吉亚理工学院提供的两门课程实时DSP设计和自适应滤波，以及3）德州仪器开发的DSP教学工具包和设计研讨会笔记。 课程大纲，笔记和实验室实验从这三个来源进行了调整，以满足拟议的DSP课程的目标。 DSP基础课程通过实时实验为DSP基础的实践学习提供材料。 实时DSP设计提供了培养团队合作和实时系统设计技术的方法。 自适应滤波有助于在本科阶段推广先进的理论，德州仪器的材料为在实时DSP硬件系统中实现所有系统提供了纽带。

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.