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Prime-factor FFT algorithm

About: Prime-factor FFT algorithm is a research topic. Over the lifetime, 2346 publications have been published within this topic receiving 65147 citations. The topic is also known as: Prime Factor Algorithm.


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Journal ArticleDOI
TL;DR: The modification of an iterative algorithm of image reconstruction from only the phase of its Fourier transform is described, important for images distorted by the Gaussian transfer function.
Abstract: The modification of an iterative algorithm of image recon- struction from only the phase of its Fourier transform is described. This task is important for images distorted by the Gaussian transfer function. The results of reconstructing images of the Moon and Saturn are shown. © 1996 Society of Photo-Optical Instrumentation Engineers. Subject terms: image reconstruction; Fourier transform; Gaussian transfer func- tion; iterative algorithm.

1 citations

15 Feb 1992
TL;DR: A method of visualizing data ordering as vectors of address bits, which enables the engineer to use more efficient data orderings and reduce double-buffer memory designs is described.
Abstract: Data ordering in large fast Fourier transforms (FFT's) is both conceptually and implementationally difficult Discribed here is a method of visualizing data orderings as vectors of address bits, which enables the engineer to use more efficient data orderings and reduce double-buffer memory designs Also detailed are the difficulties and algorithmic solutions involved in FFT lengths up to 4 megasamples (Msamples) and sample rates up to 80 MHz

1 citations

Journal Article
TL;DR: One analyzing strategy of power system harmonics based on FFT and DWT using db20 is presented, which is proved effective and applicable by MATLAB simulation, which achieves the desired results.
Abstract: The traditional fast Fourier transform (FFT) is mainly applied to the analysis of the steady-state harmonic signals but is difficult to gain the time local information, and it shows big errors in the analysis of mutation signals or high frequency interference signals; the discrete wavelet transform (DWT) is particularly suitable for the non-stationary signals and transient signals, but shows lower accuracy than FFT in analyzing the steady-state harmonic signals One analyzing strategy of power system harmonics based on FFT and DWT using db20 is presented considering advantages of both FFT and DWT First of all, the power system harmonic signals are decomposed into low frequency part and high frequency part through the DWT, and then it is analyzed by FFT and db20 wavelet respectively The strategy is proved effective and applicable by MATLAB simulation, which achieves the desired results

1 citations

Journal Article
TL;DR: In the paper, the quadratic polynomial function smoothing-method is used to smooth the sampling data, which is proved to be effective in filtering the high frequency noise.
Abstract: In the paper,the quadratic polynomial function smoothing-method is used to smooth the sampling data,which is proved to be effective in filtering the high frequency noise.Two data process methods both by Discrete Fourier Transform(DFT)and by Fast Fourier Transform(FFT)are compared.An algorithm used to analyse the leakage current and the reference voltage simultaneously in frequency domain is also provided.

1 citations

Journal ArticleDOI
TL;DR: A fast iterative solution based on the quadrature sampled pre-corrected fast fourier transform algorithm used to accelerate a method of moment discretization of the mixed potential integral equation (MPIE) for the analysis of circuits printed in a layered medium.
Abstract: This paper presents a fast iterative solution based on the quadrature sampled pre-corrected fast fourier transform (QSPCFFT) algorithm used to accelerate a method of moment discretization of the mixed potential integral equation (MPIE) for the analysis of circuits printed in a layered medium. The QSPCFFT algorithm is applied to accelerate the computation of all far interactions, and has a complexity that scales as O (N log N) and memory that scales as O(N). The algorithm is efficiently applied to broad-band analysis of printed circuits since the far-field is not constrained by the wavelength, but is determined rather by the local discretization.

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20235
202224
20211
20188
201757
201692