Can I read A direct solution to the interpolative inverse non-uniform fast Fourier transform problem for spectral analyses of non-equidistant time-series data on EtoBox?
A direct solution to the interpolative inverse non-uniform fast Fourier transform problem for spectral analyses of non-equidistant time-series data by Armstrong, Michael Sorochan; Pérez-Girón, José Carlos; Camacho, José; Zamora, Regino is a scholarly article available to read on EtoBox.
What is A direct solution to the interpolative inverse non-uniform fast Fourier transform problem for spectral analyses of non-equidistant time-series data about?
A simple least-squares optimisation enables the determination of the spectrum for irregularly sampled data that is readily reconstructed using an adjoint transformation of the Non-Uniform Fast Fourier Transform (NFFT). This is an improvement upon previously reported iterative methods for such problems, and is competitive in terms of time complexity with more recently proposed direct NFFT inversions when considering comparable matrix pre-computation steps. The software is highly portable, and available as a convenient Python package using standard libraries. Given its mathematical simplicity however, it can be easily implemented on any platform.
- Author
- Armstrong, Michael Sorochan; Pérez-Girón, José Carlos; Camacho, José; Zamora, Regino
- Published
- 2023
- Language
- EN