An improved version of the Papoulis algorithm for bandlimited signal interpolation is presented. This algorithm uses the concept of initial interpolation. The justification for initial interpolation is developed only through experimental studies. It is shown that the performance of the interpolation scheme depends on the number and distribution of the known data samples
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
Sampling and interpolation are two important topics in signal processing. Signal processing is a vas...
In recent years many of the results for bandlimited sampling have been extended to the case of nonba...
[[abstract]]A bandlimited signal is to be recovered over a finite interval. There are two closed for...
Interpolation of stochastic band-limited signals is of relevance both from the theoretical point of ...
128 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Other work dealt with bandlim...
Analysis of non-uniformly sampled signals is often severely limited, since most signal processing me...
Interpolation is an important problem of signal processing. Even though there are several methods fo...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
‘The band-limited extrapolation algorithm was first presented by A. Papoulis in 1973 in an internal ...
AbstractIn this paper, a triangular scheme for the interpolation of analytic functions is presented....
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
Description of the work and motivation A ubiquitous problem in signal processing is to obtain data s...
A digital filter with finite impulse response is developed for interpolating a bandlimited signal at...
Abstract. 1 In recent years many of the results for band limited sampling have been extended to the ...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
Sampling and interpolation are two important topics in signal processing. Signal processing is a vas...
In recent years many of the results for bandlimited sampling have been extended to the case of nonba...
[[abstract]]A bandlimited signal is to be recovered over a finite interval. There are two closed for...
Interpolation of stochastic band-limited signals is of relevance both from the theoretical point of ...
128 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Other work dealt with bandlim...
Analysis of non-uniformly sampled signals is often severely limited, since most signal processing me...
Interpolation is an important problem of signal processing. Even though there are several methods fo...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
‘The band-limited extrapolation algorithm was first presented by A. Papoulis in 1973 in an internal ...
AbstractIn this paper, a triangular scheme for the interpolation of analytic functions is presented....
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
Description of the work and motivation A ubiquitous problem in signal processing is to obtain data s...
A digital filter with finite impulse response is developed for interpolating a bandlimited signal at...
Abstract. 1 In recent years many of the results for band limited sampling have been extended to the ...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
Sampling and interpolation are two important topics in signal processing. Signal processing is a vas...
In recent years many of the results for bandlimited sampling have been extended to the case of nonba...