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基于GPU的相位梯度变化质量图并行计算

Parallel Computing of Phase Derivative Variance Quality Map Based on GPU
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摘要 相位梯度变化质量图是一种可靠的相位质量图,但当计算窗口较大时,计算效率非常低下,严重影响信号处理的速度。论文提出了一种快速的相位梯度变化质量图的计算方法,采用GPU的多个计算核心同时计算分块缠绕相位的相位质量图,然后将结果下载到主机内存。最后通过试验验证了所提方法的高效性。 The phase quality map of phase derivative variance is reliable.When the size of computing window is larger,the computing efficiency is too low,which affects the speed of signal processing.A fast computing method for phase derivative variance is proposed in this paper,which uses multi-computing cores to compute the phase quality map for every blocked wrapped phase.Then the result is downloaded to the memory of host.At last,the high efficiency of the proposed method is verified through experiment.
出处 《舰船电子工程》 2015年第10期87-90,共4页 Ship Electronic Engineering
关键词 质量图 相位梯度 并行计算 GPU quality map phase derivative parallel computing GPU
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