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Jul 31, 2017 · Abstract: Exact reconstruction of finite-rate-of-innovation signals can be achieved by employing customized sampling kernels that satisfy ...
Sep 11, 2017 · Abstract—Exact reconstruction of finite-rate-of-innovation sig- nals can be achieved by employing customized sampling kernels.
We develop a constructive kernel design methodology by invoking the Paley-Wiener theorem for compactly supported functions. We show that the new kernels satisfy ...
Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling. S Mulleti, CS Seelamantula. IEEE Transactions on Signal Processing 65 (22) ...
Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling. S Mulleti, CS Seelamantula. IEEE Transactions on Signal Processing 65 (22) ...
... Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation ... Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling.
Paley–Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling ... Sampling signals with finite rate of innovation · M. VetterliP. MarzilianoT ...
Feb 19, 2019 · Abstract. One of the interesting problems in the finite-rate-of-innovation signal sampling framework is the design of compactly supported.
S. Mulleti and C. S. Seelamantula, "Paley–Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling," in IEEE Transactions on Signal Processing, ...