A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...
ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...
Sparse Fourier Transform (SFT) algorithms constitute a transformative approach to spectral analysis by leveraging the inherent sparsity of signals in the frequency domain. In contrast to the ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Tobacco flavorings are indispensable additives in the ...
Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...
Abstract: Algorithms for Fast Fourier Transforms (FFT) have been cornerstones of scientific computing since the 1960s, when hallmark achievements such as Cooley ...
Abstract: In this paper, the split-radix approach for computing the one-dimensional (1-D) discrete Fourier transform (DFT) is extended for the vector-radix fast Fourier transform (FFT) to compute the ...
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