The authors describe an algorithm for the interpolation of burst errors in discrete-time signals that can be modeled as being band-limited. The algorithm correctly restores a mutilated signal that is indeed band-limited. The behavior of the algorithm when applied to signals containing noise or out-of-band components can be analyzed satisfactorily with the aid of asymptotic properties of the discrete prolate spheroidal sequences and wave functions. The effect of windowing can also be described conveniently in terms of these sequences and functions
AbstractMany signals encountered in science and engineering are approximated well by bandlimited fun...
A fast and simple finite difference algorithm for computing the spheroidal wave functions is describ...
Nonuniform sampling occurs in many applications due to imperfect sensors, mismatchedclocks or event-...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
This paper is concerned with the band-limited signal extrapolation using a truncated series of Prola...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
The work is concerned with the band-limited signal extrapolation using truncated series of prolate s...
AbstractMany signals encountered in science and engineering are approximated well by bandlimited fun...
A fast and simple finite difference algorithm for computing the spheroidal wave functions is describ...
Nonuniform sampling occurs in many applications due to imperfect sensors, mismatchedclocks or event-...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
An interpolation method for restoring burst errors in discrete—time, band—limited signals is present...
This paper is concerned with the band-limited signal extrapolation using a truncated series of Prola...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
Extrapolation of band-limited signals gained scientific attention over the last 60 years. Thefamous ...
The work is concerned with the band-limited signal extrapolation using truncated series of prolate s...
AbstractMany signals encountered in science and engineering are approximated well by bandlimited fun...
A fast and simple finite difference algorithm for computing the spheroidal wave functions is describ...
Nonuniform sampling occurs in many applications due to imperfect sensors, mismatchedclocks or event-...