Add to ORKGAn O(NlogN) algorithm to Fourier transform sparse spatial data to sparse Fourier data is presented. It is assumed that the data is dense in one-dimensional (1D) both in spatial and Fourier space, but live in a 2D space. The algorithm can be easily generalized to higher dimensions.link_to_subscribed_fulltex
This thesis focuses on developing efficient algorithmic tools for processing large datasets. In many...
A group of algorithms is presented generalizing the Fast Fourier Transform to the case of non-intege...
In this paper, we propose two new algorithms for high quality Fourier reconstructions of digital N &...
An algorithm that efficiently Fourier transforms sparse spatial data to sparse spectral data with co...
A multilevel algorithm that efficiently Fourier transforms sparse spatial data to sparse spectral da...
The discrete Fourier transform (DFT) is a fundamental component of numerous computational techniques...
Simple and practical algorithm for sparse fourier transform Citation Hassanieh, Haitham et al. "...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
When working on multidimensional problems, the number of points needed when using a tensor product g...
Fast Fourier Transform has long been established as an essential tool in signal processing. To addre...
Fast Fourier Transform has long been established as an essential tool in signal processing. To addre...
This code deals with image restoration problems where the data are nonuniform samples of the Fourier...
Abstract. We extend the recent sparse Fourier transform algorithm of [1] to the noisy setting, in wh...
Sparse Fast Fourier Transform (sFFT) [1][2], has been re-cently proposed to outperform FFT in reduci...
This work introduces a fast algorithm based on Singular Value Decomposition to compute the Nonunifor...
This thesis focuses on developing efficient algorithmic tools for processing large datasets. In many...
A group of algorithms is presented generalizing the Fast Fourier Transform to the case of non-intege...
In this paper, we propose two new algorithms for high quality Fourier reconstructions of digital N &...
An algorithm that efficiently Fourier transforms sparse spatial data to sparse spectral data with co...
A multilevel algorithm that efficiently Fourier transforms sparse spatial data to sparse spectral da...
The discrete Fourier transform (DFT) is a fundamental component of numerous computational techniques...
Simple and practical algorithm for sparse fourier transform Citation Hassanieh, Haitham et al. "...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
When working on multidimensional problems, the number of points needed when using a tensor product g...
Fast Fourier Transform has long been established as an essential tool in signal processing. To addre...
Fast Fourier Transform has long been established as an essential tool in signal processing. To addre...
This code deals with image restoration problems where the data are nonuniform samples of the Fourier...
Abstract. We extend the recent sparse Fourier transform algorithm of [1] to the noisy setting, in wh...
Sparse Fast Fourier Transform (sFFT) [1][2], has been re-cently proposed to outperform FFT in reduci...
This work introduces a fast algorithm based on Singular Value Decomposition to compute the Nonunifor...
This thesis focuses on developing efficient algorithmic tools for processing large datasets. In many...
A group of algorithms is presented generalizing the Fast Fourier Transform to the case of non-intege...
In this paper, we propose two new algorithms for high quality Fourier reconstructions of digital N &...