A distributed signal processing architecture

2012 IEEE 32nd International Conference on Distributed Computing Systems Pub Date : 1983-05-12 DOI:10.21236/ada130227

A. Filip

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引用次数: 6

Abstract

Abstract : An architecture is described for a multi-processor implementation of real-time signal processing algorithms. A butterfly network is used to provide simultaneous, conflict-free interprocessor communication for multi-dimensional convolution and Fourier transformation. A hardware demonstration test-bed using four active processors was used to validate the concepts of shared algorithm execution, conflict-free data transfers, distributed network control, dynamic fault tolerance, and identical software in all processors. The Distributed Signal Processor (DISP) is designed to perform real-time signal processing on large data sets. Potential applications for the DISP include image processing (enhancement, restoration, segmentations, and coding), radar imaging, synthetic aperture radar, and infrared imaging (passive or active). These applications share three important characteristics. First, the data sets are large, generally multi-dimensional, with high computation rates. Second, the applications make extensive use of convolution and Fourier transformation algorithms. Finally, real-time signal processing applications generally have a regular, well defined time-line.

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分布式信号处理体系结构

摘要:介绍了一种多处理器实现实时信号处理算法的体系结构。利用蝴蝶网络为多维卷积和傅里叶变换提供同步、无冲突的处理器间通信。使用四个活动处理器的硬件演示测试平台来验证共享算法执行、无冲突数据传输、分布式网络控制、动态容错和所有处理器中相同软件的概念。分布式信号处理器(DISP)设计用于对大数据集进行实时信号处理。DISP的潜在应用包括图像处理(增强、恢复、分割和编码)、雷达成像、合成孔径雷达和红外成像(被动或主动)。这些应用程序共有三个重要特征。首先，数据集很大，通常是多维的，计算率很高。其次，应用程序广泛使用卷积和傅里叶变换算法。最后，实时信号处理应用通常有一个规则的、定义良好的时间线。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 IEEE 32nd International Conference on Distributed Computing Systems

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