Encoding and decoding digital data sets

A method for combining a first digital data set of samples (A0, A1, A2, A3, A4, A5, A6, A7, A8, A9) with a first size and a second digital data set of samples (B0, B1, B2, B3, B4, B5, B6, B7, B8, B9) with a second size into a third combined digital data set of samples (C0, C1, C2, C3, C4, C5, C6, C7, C8, C9) with a third size smaller than a sum of the first size and the second size, comprising the steps of:

• adjusting each sample of a first subset of samples (A1, A3, A5, A7, A9) of the first digital data set where the first subset of samples (A1, A3, A5, A7, A9) and a second subset of samples (A0, A2, A4, A6, A8) are interleaved,
• adjusting each sample of a third subset of samples (B0, B2, B4, B6, B8) of the second digital data set (30) where the third subset of samples (B0, B2, B4, B6, B8) and a fourth subset of samples (B1, B3, B5, B7, B9) are interleaved, where the samples of the fourth subset (B1, B3, B5, B7, B9) and the second subset of samples (A0, A2, A4, A6, A8) have no samples corresponding in time,
• creating the samples (C0, C1, C2, C3, C4, C5, C6, C7, C8, C9) of the third combined digital data set by adding the samples (A0″, A1″, A2″, A3″, A4″, A5″, A6″, A7″, A8″, A9″) of the adjusted first digital data set to the, in the time domain, corresponding samples (B0″, B1″, B2″, B3″, B4″, B5″, B6″, B7″, B8″, B9″) of the adjusted second digital data set,
• embedding a first seed sample (A0) of the first digital data set and a second seed sample (B1) of the second digital data set in a meta data block associated to the third combined digital data set,
• wherein a fourth digital data set of samples with a fourth size and a fifth digital data set of samples with a fifth size are equally combined into a sixth combined digital data set of samples with a sixth size smaller than a sum of the fourth size and the fifth size,
• wherein each error, resulting from the adjustment of the samples, is approximated by selecting an error approximation from a set of error approximations,
• characterized in that the method further comprises the steps of:
• grouping errors resulting from adjustment of the samples of the first, second, fourth and fifth digital data sets into error groups,
• storing, in the set of error approximations, one error approximation for each error group, each error approximation having an index, and
• associating with each error of each sample of the first, second, fourth and fifth digital data set of adjusted sample values the corresponding index of the selected error approximation.