Method and decoder for reconstructing a source signal

A decoder for reconstructing a source signal, which is encoded by a set of at least two descriptions, the source signal having a first probability density, wherein the first probability density comprises a first statistical moment and a second statistical moment of the first probability density, the decoder comprising:

• an input for receiving a subset of the set of descriptions;
• a reconstructor for reconstructing a reconstructed signal at an operating bitrate of a set of operating bitrates upon the basis of the subset of descriptions, the reconstructed signal having a second probability density, wherein the second probability density comprises a first statistical moment and a second statistical moment of the second probability density;
• and
• a transformer for manipulating the reconstructed signal in order to obtain a manipulated reconstructed signal having a third probability density,
• wherein the third probability density comprises a first statistical moment and a second statistical moment of the third probability density,
• wherein the transformer is configured to manipulate the reconstructed signal such that at least the first statistical moment and the second statistical moment of the third probability density are more similar to the first statistical moment and the second statistical moment of the first probability density than the first statistical moment and the second statistical moment of the second probability density are, and
• wherein the transformer is furthermore configured to manipulate the reconstructed signal such that, irrespective of the operating bitrate, a predetermined minimum similarity between the first statistical moment of the third probability density and the first statistical moment of the first probability density and between the second statistical moment of the third probability density and the second statistical moment of the first probability density is maintained.

At least one processor configured to reconstruct a source signal, which is encoded by a set of at least two descriptions, the source signal having a first probability density, wherein the first probability density comprises a first statistical moment and a second statistical moment of the first probability density, by:

• receiving a subset of the set of descriptions;
• reconstructing a reconstructed signal at an operating bitrate of a set of operating bitrates upon the basis of the subset of descriptions, the reconstructed signal having a second probability density, wherein the second probability density comprises a first statistical moment and a second statistical moment of the second probability density;
• and
• manipulating the reconstructed signal in order to obtain a manipulated reconstructed signal having a third probability density,
• wherein the third probability density comprises a first statistical moment and a second statistical moment of the third probability density,
• wherein the reconstructed signal is manipulated such that at least the first statistical moment and the second statistical moment of the third probability density are more similar to the first statistical moment and the second statistical moment of the first probability density than the first statistical moment and the second statistical moment of the second probability density are, and
• wherein the reconstructed signal is manipulated such that, irrespective of the operating bitrate, a predetermined minimum similarity between the first statistical moment of the third probability density and the first statistical moment of the first probability density and between the second statistical moment of the third probability density and the second statistical moment of the first probability density is maintained.