Phaseless Sampling and Reconstruction of Real-Valued Signals in Shift-Invariant Spaces
Phaseless Sampling and Reconstruction of Real-Valued Signals in Shift-Invariant Spaces is a scholarly work, published in 2018 in ''Journal of Fourier Analysis and Applications''. The main subjects of the publication include Euclidean distance, Euclidean space, mathematical analysis, signal processing, invariant, graph, noise reduction, fractional Fourier transform, positron emission tomography, signal reconstruction, algorithm, mathematics, and sampling. The authors introduce an undirected graph associated with the signal in a shift-invariant space and use connectivity of the graph to characterize nonseparability of the signal.