We develop a perfect reconstruction scheme from point-wise sub-Nyquist rate samples for multi-band signals. Our approach is blind, namely the knowledge of the band locations is not used in the de-sign of either the sampling or the reconstruction stage. This is in contrast to previous approaches to reconstruct this class of signals, which required information about the spectral support at least in the reconstruction stage. Our scheme guarantees exact recovery for a wide class of multi-band signals without the use of heuristics or dis-cretization methods. Index Terms — Landau-Nyquist rate, multiband sampling, nonuniform periodic sampling
We show that in a two-channel sampling series expansion of band-pass signals, any finitely many miss...
International audienceRecently, sub-Nyquist sampling of wideband signals has gained much attention i...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
99 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.The dissertation includes thre...
We address the problem of sampling of 2D signals with sparse multi-band spectral structure. We show ...
In this paper we consider the problem of spectrum blind reconstruction (SBR) and direction of arriv...
Abstract—Periodic nonuniform sampling can be used to achieve sub-Nyquist sampling of bandlimited mul...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
AbstractA traditional assumption underlying most data converters is that the signal should be sample...
For fixed A, N, L > 0, consider the set M of all L2 functions (signals) on the real line whose spect...
This paper investigates sparse sampling techniques applied to downsampling and interference detectio...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
Sub-Nyquist cyclic nonuniform sampling (CNUS) of a sparse multi-band signal generates a nonuniformly...
We show that in a two-channel sampling series expansion of band-pass signals, any finitely many miss...
International audienceRecently, sub-Nyquist sampling of wideband signals has gained much attention i...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
99 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.The dissertation includes thre...
We address the problem of sampling of 2D signals with sparse multi-band spectral structure. We show ...
In this paper we consider the problem of spectrum blind reconstruction (SBR) and direction of arriv...
Abstract—Periodic nonuniform sampling can be used to achieve sub-Nyquist sampling of bandlimited mul...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
AbstractA traditional assumption underlying most data converters is that the signal should be sample...
For fixed A, N, L > 0, consider the set M of all L2 functions (signals) on the real line whose spect...
This paper investigates sparse sampling techniques applied to downsampling and interference detectio...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
Sub-Nyquist cyclic nonuniform sampling (CNUS) of a sparse multi-band signal generates a nonuniformly...
We show that in a two-channel sampling series expansion of band-pass signals, any finitely many miss...
International audienceRecently, sub-Nyquist sampling of wideband signals has gained much attention i...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...