Acceleration of audio inpainting by support restriction
2015 7th International Congress on Ultra Modern Telecommunications …, 2015•ieeexplore.ieee.org
We present a simple algorithm which accelerates the sparsity-based audio inpainting. The
algorithm optimally restricts the signal support around the missing data region. This way,
increased computational efficiency is achieved by avoiding inclusion of unnecessary values
in the optimization process. For testing purposes, we use the discrete Gabor transform as the
sparsity promoting representation, but the method can be easily translated to other systems.
algorithm optimally restricts the signal support around the missing data region. This way,
increased computational efficiency is achieved by avoiding inclusion of unnecessary values
in the optimization process. For testing purposes, we use the discrete Gabor transform as the
sparsity promoting representation, but the method can be easily translated to other systems.
We present a simple algorithm which accelerates the sparsity-based audio inpainting. The algorithm optimally restricts the signal support around the missing data region. This way, increased computational efficiency is achieved by avoiding inclusion of unnecessary values in the optimization process. For testing purposes, we use the discrete Gabor transform as the sparsity promoting representation, but the method can be easily translated to other systems.
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