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Restoring a clipped signal
70
Citations
14
References
1991
Year
Unknown Venue
Sampling (Signal Processing)Statistical Signal ProcessingClipping Threshold ModerateEngineeringCompressive SensingCandidate ReconstructionsDigital RestorationClipped SignalSignal ReconstructionSampling TheoryInverse ProblemsComputational ImagingInterference CancellationUndergone Amplitude ClippingSignal ProcessingStatistics
The restoration of a band-limited signal which has undergone amplitude clipping is studied. This problem can be viewed as that of recovery from signal drop-outs (missing samples over an interval of time), with the extrapolated signal constrained to lie outside the clipping interval during the drop out. If the signal is oversampled, and the clipping threshold moderate, a unique reconstruction often results from application of signal matching and bandwidth constraints. More generally, however, candidate reconstructions are seen to lie on or inside a polyhedron in the space of sampled signals. In contrast to the case of extrapolation through missing samples, upper and lower limits typically can be placed on the reconstructed signal at every sample point. In light of this finding, methods for choosing a unique reconstruction are discussed. Finally, the case of noise is considered.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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