Add to ORKGThe problem of sampling and recovering bandlimited signals in the presence of noise is studied. A new technique based on acquisition of multiple sets of sampled values at the Nyquist sampling rate and thresholding-based reconstruction is proposed. The exact formula and upper bound for mean integrated squared error of the proposed scheme is established. The obtained results show that the proposed technique gives better reconstruction accuracy than the common reconstruction method using oversampling and post-filtering. 1
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
This paper investigates sparse sampling techniques applied to downsampling and interference detectio...
Sub-Nyquist sampling makes use of sparsities in analog signals to sample them at a rate lower than t...
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...
A bandlimited signal sampled at a rate higher than the Nyquist rate can be reconstructed from its sa...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
A generalised version of the Nyquist sampling theorem admits sampling at an average rate equal to tw...
The classical approach to A/D conversion has been uniform sam-pling and we get perfect reconstructio...
Abstract — Wideband analog signals push contemporary analog-to-digital conversion systems to their p...
We develop a perfect reconstruction scheme from point-wise sub-Nyquist rate samples for multi-band s...
We show that in a two-channel sampling series expansion of band-pass signals, any finitely many miss...
Abstract—Multi-rate digital signal processing techniques have been developed in recent years for a w...
For the representation of a bandlimited signal by its discrete samples for several purposes an estim...
This paper investigates the error in reconstructions of a signal based on a given, finite set of lin...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
This paper investigates sparse sampling techniques applied to downsampling and interference detectio...
Sub-Nyquist sampling makes use of sparsities in analog signals to sample them at a rate lower than t...
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...
A bandlimited signal sampled at a rate higher than the Nyquist rate can be reconstructed from its sa...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
A generalised version of the Nyquist sampling theorem admits sampling at an average rate equal to tw...
The classical approach to A/D conversion has been uniform sam-pling and we get perfect reconstructio...
Abstract — Wideband analog signals push contemporary analog-to-digital conversion systems to their p...
We develop a perfect reconstruction scheme from point-wise sub-Nyquist rate samples for multi-band s...
We show that in a two-channel sampling series expansion of band-pass signals, any finitely many miss...
Abstract—Multi-rate digital signal processing techniques have been developed in recent years for a w...
For the representation of a bandlimited signal by its discrete samples for several purposes an estim...
This paper investigates the error in reconstructions of a signal based on a given, finite set of lin...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
This paper investigates sparse sampling techniques applied to downsampling and interference detectio...
Sub-Nyquist sampling makes use of sparsities in analog signals to sample them at a rate lower than t...