索引映射方法推导PM DFT算法

D. Sundararajan, M. Ahmad
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引用次数: 1

摘要

由于DFT对信号分析、卷积和相关等常用运算的有效评估,它在许多科学和工程领域具有重要意义。研究表明,基于数据的向量表示可以设计基数-2 DFT(离散傅立叶变换)算法,这有几个优点。这些算法为DFT计算问题提供了更有效的解决方案。使用索引映射方法推导这些算法。这种方法使推导更简单,并能更好地了解算法的功能。给出了算法的信号流图。
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Index mapping approach of deriving the PM DFT algorithms
The DFT is of fundamental importance in many areas of science and engineering due to its efficient evaluation of frequently used operations such as signal analysis, convolution, and correlation. It has been shown that radix-2 DFT (discrete Fourier transform) algorithms can be designed based on vector representation of data providing several advantages. These algorithms provide more efficient solution for the problem of DFT computation. An index mapping approach is used to derive these algorithms. This approach makes the derivation simpler and provides a better insight into the functioning of the algorithms. The signal flow graph of the algorithm is also presented.
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