High-Speed Parallel Signal Processing Algorithms and Architectures

高速并行信号处理算法和架构

• 批准号: 9013277
• 负责人: Anna Baraniecki
• 金额: --
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-06-01 至 1993-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9013277&HistoricalAwards=false
• 关键词: Speed; Parallel; Signal; Processing; Algorithms

This research is directed at efficient high speed signal processing algorithms and architectures and includes theoretical study as well as conceptual design and simulation. In particular, wavelet transforms and related techniques for generalized harmonic analysis of data at multiple resolutions are considered. The relationship between time-frequency representations such as a Wigner-Ville Distribution and the wavelet time-scale representations are being explored. The time-scale representations are applied to areas such as parameter estimation, spectral estimation, signal estimation and enhancement.

本研究针对高效的高速信号处理算法和架构，包括理论研究以及概念设计和仿真。特别是，小波变换和相关技术的广义谐波分析的数据在多个分辨率被认为是。Wigner-Ville分布和小波时间尺度表示等时频表示之间的关系正在探索中。时间尺度表示被应用于诸如参数估计、谱估计、信号估计和增强等领域。