Paley–Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling

DOI10.1109/TSP.2017.2733484zbMath1414.94868OpenAlexW2739824799MaRDI QIDQ4621939

Satish Mulleti, Chandra Sekhar Seelamantula

Publication date: 8 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2017.2733484

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Sampling theory in information and communication theory (94A20)

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