Discrete Fourier transform using summation by parts

G. Boudreaux-Bartels, T. Parks
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引用次数: 18

Abstract

An algorithm for evaluating the Discrete Fourier Transform (DFT) at particular output frequency is derived using a technique called summation by parts (SBP). This technique is shown to reduce the number of multiplications and the number of bits per multiplicative coefficient needed to implement the DFT. For many transform lengths, only two one-bit multiplications or simple memory shifts are needed to implement the DFT. When the DFT length is prime, a SBP algorithm designed for a fixed output frequency index can be used to evaluate the DFT at any other non-zero output frequency index simply by appropriately changing the order of the input sequence.
用分部求和的离散傅里叶变换
利用一种称为部分求和(SBP)的技术,推导了一种在特定输出频率下计算离散傅里叶变换(DFT)的算法。该技术可以减少实现DFT所需的乘法次数和每个乘法系数的位数。对于许多变换长度,只需要两次1位乘法或简单的内存移位来实现DFT。当DFT长度为素数时,只要适当改变输入序列的顺序,针对固定输出频率指标设计的SBP算法就可以用来计算任何其他非零输出频率指标下的DFT。
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