| 利用Hestenes SVD及其修正算法实现阵列超分辨处理 |
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| 引用本文： | 冯刚,刘泽民,黄振兴. 利用Hestenes SVD及其修正算法实现阵列超分辨处理[J]. 信号处理, 1997, 0(1) |
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| 作者姓名： | 冯刚 刘泽民 黄振兴 |
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| 作者单位： | 北京邮电大学(冯刚，刘泽民)，电子科技大学(黄振兴) |
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| 摘 要： | 本文将Hestenes奇异值分解（SVD：SingularValueDecomposition）算法推广到复域，并提出一种可以直接获得有序排列奇异值的修正Hestenes算法，研究了它们分别在线性Systolic阵列处理和SIMD（SingleInstructionMultipleData）阵列处理中的实现原理．作为一个应用实例，我们讨论了通过SVD实现阵列信号超分辨的原理。计算机模拟实验证明了算法的正确性。
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| 关 键 词： | SVD Systolic 阵列处理 超分辨 |
Hestenes SVD and Its Modified Algorithm for Array High Resolution |
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| Feng Gang, Huang Zhenxing, Liu Zemin. Hestenes SVD and Its Modified Algorithm for Array High Resolution[J]. Signal Processing(China), 1997, 0(1) |
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| Authors: | Feng Gang Huang Zhenxing Liu Zemin |
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| Affiliation: | Feng Gang; Huang Zhenxing; Liu Zemin |
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| Abstract: | This paper extended Hestenes singular value decomposition (SVD) algorithm to complex field and presented a modified algorithm which can obtain ordered singular value directly . The realizing principle of this two algorithms on linear Systolic array and SIMD array respectively were also researched . As an application example , we discussed the realizing procedure of array signal superresolution based on SVD . The computer simulation verified the two algorithms. |
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| Keywords: | SVD Systolic Array Processing Superresolution |
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