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arXiv 1408.2294eess.SYcs.SDcs.SY
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递归频率分析的数字滤波器设计

Digital Filter Designs for Recursive Frequency Analysis

Defence and Systems Institute, University of South Australia(南澳大学国防与系统研究所)

Hugh L. Kennedy

AI总结:

本文探讨了用于递归计算离散傅里叶变换和估计采样信号频谱的数字滤波器,重点分析幅度响应和数值稳定性,提出新的改进方法并讨论了FIR和IIR滤波器的稳定性问题。

摘要:

本文研究了用于递归计算离散傅里叶变换(DFT)和估计采样信号频谱的数字滤波器,重点在于幅度响应和数值稳定性。在教程式的方法中,回顾、解释和比较了现有的递归技术,并提供了一些新的见解和改进。研究表明,将谐振器替换为(非递归)调制器在滑动DFT(SDFT)分析器中可以略微提高性能;然而稳定性不能保证,因为对边际稳定极点的抵消仍然存在。FIR死锁观测器比SDFT方法更可靠,一种IIR变体被提出,并讨论了其响应的微调方法。还推导出一种新的技术,用于稳定具有衰减记忆的IIR SDFT分析器,使得所有极点都在单位圆内。Slepian和余弦和窗口被适配以改进各种FIR和IIR DFT方法的频率响应。

英文摘要:

Digital filters for recursively computing the discrete Fourier transform (DFT) and estimating the frequency spectrum of sampled signals are examined, with an emphasis on magnitude-response and numerical stability. In this tutorial-style treatment, existing recursive techniques are reviewed, explained and compared within a coherent framework; some fresh insights are provided and new enhancements/modifications are proposed. It is shown that the replacement of resonators by (non-recursive) modulators in sliding DFT (SDFT) analyzers with either a finite impulse response (FIR), or an infinite impulse response (IIR), does improve performance somewhat; however stability is not guaranteed, as the cancellation of marginally stable poles by zeros is still involved. The FIR deadbeat observer is shown to be more reliable than the SDFT methods, an IIR variant is presented, and ways of fine-tuning its response are discussed. A novel technique for stabilizing IIR SDFT analyzers with a fading memory, so that all poles are inside the unit circle, is also derived. Slepian and sum-of-cosine windows are adapted to improve the frequency responses for the various FIR and IIR DFT methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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