施维, 李丽, 沙金, 黄凯. 一种特征值分解的VLSI实现方法[J]. 微电子学与计算机, 2015, 32(12): 68-71,75.
引用本文: 施维, 李丽, 沙金, 黄凯. 一种特征值分解的VLSI实现方法[J]. 微电子学与计算机, 2015, 32(12): 68-71,75.
SHI Wei, LI Li, SHA Jin, HUANG Kai. VLSI Implementation of Eigenvalue Decomposition Method[J]. Microelectronics & Computer, 2015, 32(12): 68-71,75.
Citation: SHI Wei, LI Li, SHA Jin, HUANG Kai. VLSI Implementation of Eigenvalue Decomposition Method[J]. Microelectronics & Computer, 2015, 32(12): 68-71,75.

一种特征值分解的VLSI实现方法

VLSI Implementation of Eigenvalue Decomposition Method

  • 摘要: 实对称矩阵的特征值分解(eigenvalue decomposition,EVD)广泛应用于各类雷达算法.为了克服传统脉动阵列在硬件实现方面消耗资源多,难以扩展的困难,在传统脉动阵列的基础上优化算法流程,采用改进的硬件电路.实验结果表明该方法具有消耗资源少,方便实现,易于扩展等优点.

     

    Abstract: Real symmetric matrix eigenvalue decomposition (eigenvalue decomposition, EVD) algorithm is widely used in all kinds of radar In order to overcome the traditional pulse array consume resources in terms of hardware implementation, it is difficult to extend, on the basis of the traditional pulse array process optimization algorithm, an improved the hardware circuit of the experimental results show that the method has low resources consumption, convenient implementation, the advantages of easy to extend.

     

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