fast Fourier transform

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fast Fourier transform

An MRI term for a very fast and efficient computational method of performing a Fourier transform—the mathematical process by which raw data is processed into a usable image.
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Giovannii Gonzalez (P) 0:18; 113: Kevin Hogan (P) won by fft.; 120: Walton (P) won by fft.; 126: Nate Orosco (AC) d.
Meanwhile, in order to reduce the computational complexity of multi-dimensional FFT operations, FFT algorithms with reduced dimensions have been proposed [16].
(5) We use our implementation as an accelerator for filtered back-projection (FBP), an analytical tomographic reconstruction method, and show that for large datasets our 2D FFT with edge artifact removal (EAR) can significantly improve reconstruction run time (Section 7).
In the actual analyses of FFT, the signals are applied with this algorithm are from both conditions; healthy and faulty with several apply voltages and this procedures applicable for both cases; external and internal discharges.
The peaks and valleys relate to the frequency of a failure in this FFT chart.
Boopal, Garrido and Gustafsson [18] presented multi-streaming and variable-length Single-path Delay Feedback (SDF) based FFT architecture on Virtex-6 technology, which could process one stream of 2048-point, two streams of 1024-point or four streams of 512-point FFT operations.
To detect the cluster head's broadcast channels reliably and quickly, each node implements fast Fourier transform (FFT) at every defined time period and computes an autocorrelation for the FFT bin sequence for each channel available to the member node.
Joining its board, I presented the idea for the FFT series at a meeting to mark the 30th anniversary of FFVFF (now Animalfree Research, Berne, Switzerland) that year.
Free floating thrombus (FFT) in the carotid artery is an uncommon finding and rarely reported in the literature [1].
It is well known that the FFT-based methods still have some problems for electrically large targets: the fine grid spacing can reduce the number of the near correction matrix elements but increase the burden of FFT. Instead, the coarse grid spacing can significantly reduce the burden of FFT but dramatically increase the number of the near correction matrix elements.