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An Efficient Approach For Realization Of Discrete Sine Transform And Its Inverse

机译:离散正弦变换及其逆的一种有效实现方法

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摘要

In this paper, novel very-large-scale integration (VLSI) algorithms for computing the Discrete Sine Transform (DST) and its inverse (IDST) are proposed. By respectively folding the inputs, the DST kernels are derived to realize it through Infinite-impulse response (MR) structure. Single folding algorithm provides data throughput two times of that achieved by the conventional methods. The double folding recursive algorithms for DST and IDST have been suggested, which reduce the computation cycles to one forth of that in the single folding method. Moreover, the regular and modular properties of the proposed recursive structures are easily amenable to VLSI implementation.
机译:在本文中,提出了用于计算离散正弦变换(DST)及其逆(IDST)的新颖的超大规模集成(VLSI)算法。通过分别折叠输入,可以导出DST内核以通过无限脉冲响应(MR)结构实现该功能。单折算法提供的数据吞吐量是传统方法的两倍。提出了DST和IDST的双折叠递归算法,该算法将计算周期减少到单折叠方法的四分之一。而且,所提出的递归结构的规则和模块化特性很容易接受VLSI的实现。

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