Add to ORKGThe modern sampled-data approach provides a general methodology for signal reconstruction. This paper discusses some implications for optimal signal reconstruction when a series of recurring measurements, some delayed, are available for the reconstruction
A multirate filter bank model is considered for reconstruction of periodically sampled signals. In c...
This paper studies a system-theoretic approach to the problem of reconstructing an analog signal fro...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
Abstract—A periodic sampling process can be modelled through multiple parallel uniform sampling proc...
This paper presents a new method for signal reconstruction by leveraging sampled-data control theory...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
IEEEProceedings of the 1995 IEEE Instrumentation and Measurement Technology Conference --23 April 19...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
This paper studies the problem of reconstructing continuous-time signals from discrete-time uniforml...
The problem of statistically optimal reconstruction of a signal based on its arbitrary linear projec...
AbstractWe indicate a pulse form supported in the sample interval, which optimizes the relation betw...
In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data...
The paper studies the problem of reconstructing a not necessarily bandlimited analog signal from its...
The problem of restoring an analog signal from its sampled measurements is called the signal reconst...
We consider the problem of estimating lost sample values in discrete—time signals. The problem is tr...
A multirate filter bank model is considered for reconstruction of periodically sampled signals. In c...
This paper studies a system-theoretic approach to the problem of reconstructing an analog signal fro...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...
Abstract—A periodic sampling process can be modelled through multiple parallel uniform sampling proc...
This paper presents a new method for signal reconstruction by leveraging sampled-data control theory...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
IEEEProceedings of the 1995 IEEE Instrumentation and Measurement Technology Conference --23 April 19...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
This paper studies the problem of reconstructing continuous-time signals from discrete-time uniforml...
The problem of statistically optimal reconstruction of a signal based on its arbitrary linear projec...
AbstractWe indicate a pulse form supported in the sample interval, which optimizes the relation betw...
In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data...
The paper studies the problem of reconstructing a not necessarily bandlimited analog signal from its...
The problem of restoring an analog signal from its sampled measurements is called the signal reconst...
We consider the problem of estimating lost sample values in discrete—time signals. The problem is tr...
A multirate filter bank model is considered for reconstruction of periodically sampled signals. In c...
This paper studies a system-theoretic approach to the problem of reconstructing an analog signal fro...
The problem of sampling and recovering bandlimited signals in the presence of noise is studied. A ne...