首页> 外文期刊>International Journal of High Performance Computing and Networking >A high performance hybrid parallel algorithm for fast calculation of 3-D convolution/correlation using the 3-D VR FHT for multi-dimensional signal processing applications
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A high performance hybrid parallel algorithm for fast calculation of 3-D convolution/correlation using the 3-D VR FHT for multi-dimensional signal processing applications

机译:一种高性能混合并行算法,可使用3-D VR FHT快速计算3-D卷积/相关性,用于多维信号处理应用

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摘要

In this paper, a fast and efficient 3-D digital filtering method based on the combination of a 3-D hybrid parallel filtering algorithm and the 3-D vector radix fast Hartley transform (3-D VR FHT) is presented. This algorithm is suitable for high resolution/high speed multi-dimensional signal and image processing. The 3-D hybrid parallel algorithm is highly parallel and efficient, as it overcomes the computations overhead and performance limitations associated with the block filtering method by eliminating the overlapping blocks and boundary conditions in parallel filtering applications. It also lifts the restrictions on the input size for high performance, as both the 3-D input data and impulse response of the system are segmented into smaller sub-sections. These sub-sections are independent and can be simultaneously processed. The algorithm's structure and mathematical derivation are given and the performance of the algorithm is tested and presented using a real multi-processor parallel system with 4-DSPs.
机译:本文提出了一种基于3-D混合并行滤波算法和3-D矢量基数快速Hartley变换(3-D VR FHT)的快速有效的3-D数字滤波方法。该算法适用于高分辨率/高速多维信号和图像处理。 3-D混合并行算法具有很高的并行性和效率,因为它通过消除并行过滤应用程序中的重叠块和边界条件,克服了与块过滤方法相关的计算开销和性能限制。由于3-D输入数据和系统的脉冲响应都被分割成较小的子部分,因此它也为高性能提供了对输入大小的限制。这些小节是独立的,可以同时处理。给出了算法的结构和数学推导,并使用带有4-DSP的真实多处理器并行系统测试和演示了算法的性能。

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