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Pipelined Architecture for High-Speed Implementation of Multilevel Lifting 2-D DWT using 9/7 Filters

机译:用于使用9/7滤波器的多级提升2-D DWT的高速实现的流水线架构

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In this paper, we present a pipeline architecture for high-throughput VLSI implementation of multilevel two-dimensional (2-D) discrete wavelet transform (DWT). The computation of each decomposition level is decomposed into two distinct stages, and implemented concurrently in a linear array of fully-pipelined processing elements (PE). The main advantage of the proposed design is that it does not involve any off-chip storage, and involves less than (N/4) times normalized on-chip storage compared with the best of the existing structures. Moreover, it offers nearly (N/3) times higher throughput rate at the cost of marginally higher normalized number of multipliers and adders per throughput compared to those of the existing folded structures for lifting-based 2-D DWT. In comparison with the existing designs based on the recursive pyramid algorithm (RPA), the proposed one offers (N/4) times higher computation rate. Moreover, the normalized number of multipliers and adders of the proposed structure is less than those of corresponding existing structures.
机译:在本文中,我们为多级二维(2-D)离散小波变换(DWT)提供了一种用于高吞吐量VLSI实现的管道架构。每个分解级别的计算被分解成两个不同的阶段,并在全流水线处理元件(PE)的线性阵列中同时实现。所提出的设计的主要优点是它不涉及任何片外存储,并且涉及与现有结构相比的载体片上存储的常规片上存储器小于(n / 4)。此外,与现有的基于折叠结构的2-D DWT的结构相比,它提供了几乎(n / 3)倍增的吞吐率,以较高的标准化额定数量的乘法数和每个吞吐量的加法器的成本。与基于递归金字塔算法(RPA)的现有设计相比,所提出的一个优惠(N / 4)倍率更高的计算速率。此外,所提出的结构的常规乘法器数量和添加剂的添加剂小于相应的现有结构。

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