  The reconstruction of clipped speech signals is an important task in audio
signal processing to achieve an enhanced audio quality for further processing.
In this paper, Frequency Selective Extrapolation (FSE), which is commonly used
for error concealment or the reconstruction of incomplete image data, is
adapted to be able to restore audio signals which are distorted from clipping.
For this, FSE generates a model of the signal as an iterative superposition of
Fourier basis functions. Clipped samples can then be replaced by estimated
samples from the model. The performance of the proposed algorithm is evaluated
by using different speech test data sets. Compared to other state-of-the-art
declipping algorithms, this leads to a maximum gain in SNR of up to 3:5 dB and
an average gain of 1 dB.
