• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Computing methods for signal algebra operators: A DSP core implementations approach.
【24h】

Computing methods for signal algebra operators: A DSP core implementations approach.

机译：信号代数运算符的计算方法：一种DSP核心实现方法。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This document presents a methodology based on a signal algebra operator theoretic approach for the mathematical formulation of signal processing algorithms and efficient systematic procedures for mapping these algorithms to target hardware computing structures through iconic and functional programming techniques, and automatic core generation efforts. An algorithm development and implementation environment is described in this work as a central theme in studying DSP computing methods. This environment is an aggregate of the following items: a PC Workstation platform, MATLAB® tools, digital signal processing (DSP) microprocessor units, and field programmable gate array (FPGA) units. Special emphasis is given to the concepts of modularity and scalability during a hardware implementation. A main goal of this on going work is to establish formal links amongst the elements of the environment in order to assist in reducing the algorithm development and implementation time-line. The results presented here center on the formulation of a methodology for computing methods as an operator theoretic approach to the digital processing of signals, and on the study of the computing hardware structure and overall architecture of floating point DSP microprocessor units and FPGAs for the implementation of complex fast Fourier transform (FFT) cores. The new methodology presented in this work was successfully utilized for the generation of signal processing cores for DSP and FPGA hardware units in a signal algebra setting, with advantages such as improved latency time, and modular and reconfigurable features, which make the developed cores desirable for the implementation of more advanced digital signal processing applications.
机译：本文介绍了一种基于信号代数算子理论方法的方法，用于信号处理算法的数学公式化，以及通过图标和功能编程技术以及自动核生成工作将这些算法映射到目标硬件计算结构的有效系统过程。本文将算法开发和实现环境描述为研究DSP计算方法的中心主题。此环境由以下各项组成：PC工作站平台，MATLAB ®工具，数字信号处理（DSP）微处理器单元和现场可编程门阵列（FPGA）单元。在硬件实现期间，将特别强调模块化和可伸缩性的概念。正在进行的工作的主要目标是在环境要素之间建立正式链接，以帮助减少算法开发和实现的时间线。此处介绍的结果集中在计算方法的方法论的制定上，该方法是对信号进行数字处理的运算符理论方法，并且对浮点DSP微处理器单元和FPGA的计算硬件结构和整体体系结构的研究也可以实现。复杂的快速傅立叶变换（FFT）核心。这项工作中介绍的新方法已成功用于信号代数设置中的DSP和FPGA硬件单元的信号处理内核的生成，其优点是诸如延迟时间缩短，模块化和可重新配置的特性，这使得开发的内核可用于实施更先进的数字信号处理应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号