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Fast dynamically reconfigurable architectures for 1-D and 2-D recursive digital filters

机译:用于1-D和2-D递归数字滤波器的快速动态可重配置架构

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摘要

In this paper, we consider the array processors implementation of the infinite impulse response (11R)1-D and 2-D digital filtersudthat require recursive computations . We use the state space representation to obtain, in a straight forward manner, efficientudimplementation via dynamically switchable systolic arrays (cylindrical type) of 1 -D direct realisation . This direct description leadsudto reduce the computation speed and the throughput rate . In order to improve, in a general way, the throughput rate performanceudof recursive filtering arrays, the solution proposed, in this paper, is based on the CTP decomposition technique of Porter whichudtransforms the matrix-column product on a triple matrix product . It is shown in this work that this technique allows a realisationudof IIR filters via dynamically reconfigurable cylindrical architectures that are much faster. However, this throughput improvementudis obtained in the cost of a hardware complexity . The use of a sparse matrix of the tridiagonal type with the CTP decompositionudpermits a significant improvement of the hardware complexity of recursive filter arrays .
机译:在本文中,我们考虑了需要递归计算的无限脉冲响应(11R)1-D和2-D数字滤波器 ud的阵列处理器实现。我们使用状态空间表示以直截了当的方式通过一维直接实现的动态可切换脉动数组(圆柱型)获得有效的实现。该直接描述导致 u降低计算速度和吞吐率。为了从总体上改善递归过滤阵列的吞吐率性能,本文提出的解决方案基于Porter的CTP分解技术,该技术将矩阵-列乘积转换为三重矩阵乘积。在这项工作中表明,该技术允许通过速度更快的动态可重新配置圆柱结构来实现IIR滤波器。但是,这种吞吐率的提高是以硬件复杂性为代价的。通过CTP分解使用对角线类型的稀疏矩阵,可以显着改善递归滤波器阵列的硬件复杂性。

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