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首页> 外文期刊>Circuits and Systems I: Regular Papers, IEEE Transactions on >A Design of Input-Decimation Technique for Recursive DFT/IDFT Algorithm
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A Design of Input-Decimation Technique for Recursive DFT/IDFT Algorithm

机译:递归DFT / IDFT算法输入抽取技术的设计

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摘要

In this paper, an input-decimation technique for the recursive discrete Fourier transform (RDFT)/inverse DFT (RIDFT) algorithm is proposed for the high-speed broadband communication systems. It is worth noting that the input-decimation approach is presented to decrease the number of input sequences for the recursive filter so that the computation cycle of RDFT/RIDFT can be shortened to meet the computing time requirement ( $3.6{mu }s$ ) for the high-speed broadband communication systems. Therefore, the input-decimation RDFT/RIDFT algorithm is able to carry out at least 55.5 reduction of the total computation cycles compared with the considered algorithms. Furthermore, holding the advantages of input-decimation technique, the computational complexities of the real-multiplication and -addition are reduced to 41.3 and 22.2, respectively. The area and the power consumption can be minimized by employing the cost-efficient constant multiplier with the refined signed-digit expression of twiddle factors. Finally, the physical implementation results show that the core area is $0.37imes 0.37$ mm(2) with $0.18mu ext{m}$ CMOS process. The power consumption is 5.16 mW with the supply voltage of 1.8 V and the operating clock of 40 MHz. The proposed design can achieve 258 million of computational efficiency per unit area (CEUA) and really outperform the previous works.
机译:本文提出了一种用于高速宽带通信系统的递归离散傅里叶变换(RDFT)/逆DFT(RDFT)算法的输入抽取技术。值得注意的是,提出了输入抽取方法以减少递归滤波器的输入序列的数量,从而可以缩短RDFT / rivft的计算周期以满足计算时间要求(3.6美元{ mu} $)对于高速宽带通信系统。因此,与所考虑的算法相比,输入抽取RDFT / rivft算法能够执行总计算周期的至少55.5。此外,保持输入抽取技术的优点,实际乘法和作用的计算复杂性分别减少到41.3和22.2。通过采用具有旋转因子的精细签名的数字表达的成本有效的恒定乘数,可以最小化该区域和功耗。最后,物理实施结果表明,核心区域为0.37美元0.37 $ mm(2),$ 0.18 mu text {m} $ cmos进程。功耗为5.16兆瓦,电源电压为1.8 V,工作时钟为40 MHz。拟议的设计可以每单位面积达到2.58亿美元的计算效率(CEUA),并且真正胜过以前的作品。

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