Multi-dimensional Decomposition Algorithm and Hardware Implementation for Ultra-long Point FFT

Wang Di, Shi Song, Tiebin Wu, Liu Liang, Hong-Bing Tan, Zi-Yu Hao, Guo Feng, Hong-Liang Li
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Abstract

Fast Fourier Transform (FFT) plays a key role in digital signal processing. With the rapid development of signal processing technology, high performance ultra-long point FFT is required. This paper analyzes the characteristics of FFT algorithm, generalizes the two-dimensional decomposition algorithm to the multi-dimensional decomposition algorithm, and proposes a high-performance ultra-long point FFT hardware implementation architecture. This architecture implements the three-dimensional transpose operation by using the collision free bank addressing technology based on prime number banks. The synthesis results show that the operating frequency can reach more than 1GHz. The number of points supported and the performance in this paper are significantly improved compared with the existing research results.
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超长点FFT的多维分解算法及硬件实现
快速傅里叶变换(FFT)在数字信号处理中起着关键作用。随着信号处理技术的飞速发展,对高性能超长点FFT提出了更高的要求。分析了FFT算法的特点,将二维分解算法推广到多维分解算法,提出了一种高性能的超长点FFT硬件实现体系结构。该体系结构采用基于素数库的无碰撞库寻址技术实现了三维转置运算。综合结果表明,工作频率可达1GHz以上。与已有的研究结果相比,本文的支持点数和性能都有了明显的提高。
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