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A hardware efficient technique for linear convolution of finite length sequences

机译:有限长度序列线性卷积的硬件有效技术

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point HOT is based on a K-point DFT. However, due to the complexity of the HOT convolution, it was not easily realizable on hardware. This paper first modifies the HOT based convolution technique to make it more suitable for hardware realization. Then, FFT based convolution and the proposed convolution are realized by using similar architectures. To evaluate the effectiveness of the implementation, we compare the proposed convolution with the FFT convolution for a length of 256. The Mean Square Error (MSE), space requirements, and maximum throughput are used in the analysis of the implementations. Field Programmable Gate Arrays (FPGAs) are used to implement the algorithms. We have shown almost 45% reduction in space compared to FFT convolution while maintaining similar MSE and slightly worse throughput.
机译:HOT点基于K点DFT。但是,由于HOT卷积的复杂性,在硬件上不容易实现。本文首先修改了基于HOT的卷积技术,使其更适合于硬件实现。然后,通过使用相似的架构来实现基于FFT的卷积和所提出的卷积。为了评估该实现的有效性,我们将建议的卷积与FFT卷积的长度进行了256次比较。在实现的分析中使用了均方误差(MSE),空间要求和最大吞吐量。现场可编程门阵列(FPGA)用于实现算法。与FFT卷积相比,我们已经显示出空间减少了近45%,同时保持了类似的MSE和稍差的吞吐量。

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