Multidimensional-cognitive and statistical signal processing

多维认知和统计信号处理

• 批准号: 228059-2010
• 负责人: Gazor, Saeed
• 金额: $ 1.89万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=509565
• 关键词: Multidimensional; cognitive; statistical; signal; processing

The ever-increasing demand for broadband spectrum has highlighted the critical need for smart technologies that can make use of scarce spectral resources as efficiently as possible. In this research program, we will invent multidimensional statistical-signal-processing algorithms for applications in cognitive wireless communication networks, radar networks, medical imaging systems and voice communication systems. The subsystems interact with and monitor the environment, collaborating and altering their own parameters and behavior in order to enhance their performance. For example, they scan and detect the availability of signal free channels, and opportunistically use them. Intelligent and practical algorithms will be invented for applications such as in multimedia and in enhanced medical imaging devices. To this end, many critical problems are studied including monitoring of the environment, channel identification, spectral information acquisition, collaboration, and information sharing among distributed users, and competitive distributed resource allocation/management.

对宽带频谱不断增长的需求凸显了对智能技术的迫切需求，这些技术可以尽可能有效地利用稀缺的频谱资源。在这项研究计划中，我们将发明多维的电磁信号处理算法，用于认知无线通信网络，雷达网络，医疗成像系统和语音通信系统。子系统与环境交互并监控环境，协作并改变自己的参数和行为，以提高其性能。例如，他们扫描和检测信号免费频道的可用性，并机会主义地使用它们。智能和实用的算法将被发明用于多媒体和增强型医学成像设备等应用。为此，许多关键问题进行了研究，包括环境监测，信道识别，频谱信息采集，协作，分布式用户之间的信息共享，竞争分布式资源分配/管理。