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首页> 外文期刊>Signal Processing, IEEE Transactions on >Fixed-Point Analysis and Parameter Optimization of the Radix- src='/images/tex/20080.gif' alt='2^{k}'> Pipelined FFT Processor
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Fixed-Point Analysis and Parameter Optimization of the Radix- src='/images/tex/20080.gif' alt='2^{k}'> Pipelined FFT Processor

机译:基数- src =“ / images / tex / 20080.gif” alt =“ 2 ^ {k}”> 流水线FFT处理器的定点分析和参数优化

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摘要

The radix- algorithm plays a crucial role in the pipelined implementation of fast Fourier transform (FFT). This paper presents a fixed-point analysis and hardware evaluation of radix- FFT under the framework of the single-path delay feedback (SDF) and multi-path delay commutator (MDC) pipelined structure. The investigation is carried out with variable operating word-lengths to ensure the generality. Furthermore, the main streams to fulfill FFT coefficients weighting, namely, the approach using complex multipliers and the one adopting memoryless CORDIC units, are both considered in the analysis. Based on these derivations, a joint optimization of radix- algorithm and operating word-length is discussed to achieve a reasonable trade-off between computational accuracy and hardware expenditure. Simulations and experiments indicates that the derived SQNR is reliable to unfold the quantization effects of fixed-point radix- FFT. In addition, the proposed joint optimization strategy is capable of providing better solutions to implement the radix- FFT processor efficiently.
机译:基数算法在快速傅里叶变换(FFT)的流水线实施中起着至关重要的作用。本文介绍了在单路径延迟反馈(SDF)和多路径延迟换向器(MDC)流水线结构的框架下,基数FFT的定点分析和硬件评估。为了确保通用性,使用可变的操作字长进行调查。此外,在分析中考虑了满足FFT系数加权的主流,即使用复数乘法器的方法和采用无内存CORDIC单元的方法。基于这些推导,讨论了基数算法和操作字长的联合优化,以实现计算精度和硬件开销之间的合理权衡。仿真和实验表明,导出的SQNR能够可靠地展现定点基数FFT的量化效果。另外,所提出的联合优化策略能够提供更好的解决方案,以有效地实现基数FFT处理器。

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