Nearly optimal sparse fourier transform 论文
2012引用 275
Sparse and Compressive Sensing TechniquesDigital Image Processing TechniquesMathematical Approximation and Integration
摘要
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an n-dimensional signal. We show: An O(k log n)-time randomized algorithm for the case where the input signal has at most k non-zero Fourier coefficients, and An O(k log n log(n/k))-time randomized algorithm for general input signals.