In many fields of applications it is of considerable interest to reconstruct a bandlimited response bandpass signal from its zero crossings, which are obtained from the signal by means of the so-called hard-limiter. There are several algorithms known which are expected to render this reconstruction, but there are no formal proofs of either convergence nor uniqueness. This paper gives the proof that for uniqueness at least one additional property of the signals is to be demanded, and gives an example
A general formula, using a Fourier-series representation, is derived for the input-output characteri...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
We study the properties of the singular system of the operator characterizing a bandpass filter with...
AbstractIn this paper we devise a method for recovering band limited signals which have been subject...
The well known Logan’s theorem asserts that, under some assumptions, a one octave bandpass signal is...
By considering the algorithm proposed by Papoulis and Gerchberg (1962) which allows the approximatio...
International Telemetering Conference Proceedings / October 14-16, 1975 / Sheraton Inn, Silver Sprin...
Abstract—The effect of ideal bandpass limiting on a signal lying in narrowband Gaussian noise is ana...
In this paper we evaluate several methods of reconstructing signals from finite sets of their sample...
International Telemetering Conference Proceedings / October 08-11, 1968 / Ambassador Hotel, Los Ange...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
The problem of recovering a signal from its low frequency components occurs often in practical appli...
The paper addresses the problem of estimating the peak value of band-limited signals from their samp...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
Sparse signal approximations are approximations that use only asmall number of elementary waveforms ...
A general formula, using a Fourier-series representation, is derived for the input-output characteri...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
We study the properties of the singular system of the operator characterizing a bandpass filter with...
AbstractIn this paper we devise a method for recovering band limited signals which have been subject...
The well known Logan’s theorem asserts that, under some assumptions, a one octave bandpass signal is...
By considering the algorithm proposed by Papoulis and Gerchberg (1962) which allows the approximatio...
International Telemetering Conference Proceedings / October 14-16, 1975 / Sheraton Inn, Silver Sprin...
Abstract—The effect of ideal bandpass limiting on a signal lying in narrowband Gaussian noise is ana...
In this paper we evaluate several methods of reconstructing signals from finite sets of their sample...
International Telemetering Conference Proceedings / October 08-11, 1968 / Ambassador Hotel, Los Ange...
The minimum mean-squared error (MMSE) estimator has been used to reconstruct a band-limited signal f...
The problem of recovering a signal from its low frequency components occurs often in practical appli...
The paper addresses the problem of estimating the peak value of band-limited signals from their samp...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
Sparse signal approximations are approximations that use only asmall number of elementary waveforms ...
A general formula, using a Fourier-series representation, is derived for the input-output characteri...
The classical approach to A/D conversion has been uniform sampling and we get perfect reconstruction...
We study the properties of the singular system of the operator characterizing a bandpass filter with...