Workshop on Future Research Directions for Signal Processing Research, August, 1996, Durango, CO

今天，所有的技术领域都使用信号处理。应用范围从语音信号的自适应编码，到医学图像的分析，再到蜂窝电话的回声消除。信号处理算法在软件和硬件上的成功实现是对信号处理各个方面的研究的结果，包括分析、建模、合成、算法开发、工具开发和实现。本次研讨会旨在汇集一批杰出的研究科学家和教育工作者，探讨信号处理在包括电信基础设施和不断扩大的信息高速公路在内的应用中不断扩大的作用。研讨会将持续三天半的时间来评估和记录信号处理的最新进展以及当前和未来的研究方向。在此期间，我们希望为研究活动提出建议，并在研究界就该领域的未来方向展开辩论。与会者将来自学术界、工业界和产品中包含重要信号处理组件的公司。会议的目标是制定该领域的远景声明，并确定在应用领域方面具有高回报潜力的领域。与会者还将讨论如何将信号处理研究成果和应用纳入本科工程课程，即“研究与教育的结合”。另一个重要的话题将是讨论如何提高公众对信号处理的普遍作用的认识。

Today, all areas of technology use signal processing. The applications range from adaptive coding of speech signals, to analysis of medical images, to echo- canceling in cellular telephones. The successful implementation of signal processing algorithms in both software and hardware is a result of research into various aspects of signal processing, including analysis, modeling, synthesis, algorithm development, tool development, and implementation. This workshop in intended to bring together a distinguished group of research scientists and educators to explore the expanding role of signal processing within applications that include the telecommunications infrastructure and the expanding information highway. The workshop will meet for 3 1/2 days to assess and document recent advances and current and future research directions in signal processing. During this time we expect to prepare recommendations for research activities and to initiate a debate on the future directions of the field from among the research community. Participants will be drawn from academia, industry, and companies whose products include significant signal processing components. The goal of the meeting will be to develop a vision statement for the field and determine areas which have the potential for high payoff in terms of application areas. The participants will also discuss ways of integrating signal processing research results and applications into the undergraduate engineering curricula - "the integration of research and education." Another important topic will be the discussion of ways to promote public awareness of the pervasive role of signal processing.