Design and VLSI Implementation of CSD based DA Architecture for 5/3 DWT

Syeda Eima Iftikhar Gardezi, F. Aziz, Sadaf Javed, Ch. Jabbar Younis, Mehboob Alam, Y. Massoud
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引用次数: 8

Abstract

In the past two decades, wavelet method has emerged as a powerful signal and data analysis tool for scientist and engineers. It is often part of a low-power system for real time application and needs efficient hardware implementation. In this paper, we have designed and VLSI (Very Large-Scale In-tegration) implemented a lossless 5/3 Discrete Wavelet Transform (DWT) using the Canonical Signed Digit (CSD) based Distributed Arithmetic (DA) architecture. The combination of CSD and DA exploits prior knowledge of the filter co-efficients and uses the least number of adders and shift registers, to achieve hardware-efficient implementation. The filter-based implementation exploits data path diagram of CSD represented coefficients and selectively finds sum of products to give minimum realization. The proposed CSD based DA architecture is modeled using HDL (Hardware Description Language) and implemented on Altera DE-1 Cyclon-II FPGA (Field Programmable Gate Array). A comparison with filter-based architecture of 5/3 DWT reveals a saving up to 50% in hardware. The designed solution is hardware efficient and uses only 7 adders to provide low-power architecture for high-speed real-time applications.
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基于CSD的5/3 DWT数据处理体系结构的设计与VLSI实现
在过去的二十年里,小波方法已经成为科学家和工程师的一种强大的信号和数据分析工具。它通常是实时应用的低功耗系统的一部分,需要高效的硬件实现。在本文中,我们设计和VLSI(非常大规模集成)实现了一个无损的5/3离散小波变换(DWT)使用基于规范符号数(CSD)的分布式算法(DA)架构。CSD和DA的结合利用了滤波器系数的先验知识,并使用最少数量的加法器和移位寄存器,以实现硬件效率。基于过滤器的实现利用CSD表示系数的数据路径图,选择性地找到乘积的和,从而实现最小值。提出的基于CSD的数据处理架构采用HDL(硬件描述语言)建模,并在Altera DE-1 Cyclon-II FPGA(现场可编程门阵列)上实现。与5/3 DWT的基于滤波器的架构相比,可以节省高达50%的硬件。设计的解决方案具有硬件效率,仅使用7个加法器为高速实时应用提供低功耗架构。
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