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A New Recursive Decomposition Algorithm for Realizing Fast IMDCT Computation

机译:一种实现快速IMDCT计算的新递归分解算法

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摘要

In this paper, a new decomposition algorithm for realizing fast inverse modified discrete cosine transform (IMDCT) computation is presented. The decomposition algorithm can convert a pair of long transforms into 2 pairs of short transforms with half size of the long transforms. In addition, the decomposition algorithm can be utilized recursively to attain shorter transforms and reduce computational cycles. Based on the previous experimental results, the number of computational cycles of 512-point IMDCT is estimated to be 9641, which is less than those in previous reports.
机译:本文介绍了一种新的分解算法,用于实现快速逆修改离散余弦变换(IMDCT)计算。分解算法可以将一对长变换转换为2对短变换,长变换的一半。另外,分解算法可以递归地利用以获得更短的变换并减少计算周期。基于先前的实验结果,512点IMDCT的计算周期数估计为9641,其小于先前报告中的计算周期。

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