Appendix 2: Test Signals and Music

How did the buried signals differ from music”? The sounds we use in speech, music and communication share two properties with natural sounds which are: ‘self-similarity’, and ‘finite rate of innovation’. One consequence of this is that lower frequencies tend to be higher in level than higher frequencies. We cover this topic extensively in the …

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Appendix 3: The Musical Triangle

In the previous appendix, we showed the envelope of peak levels in high-resolution music releases. What about the noise in the recordings? The graph opposite is from [1] showing our analysis of the minimum noise level in the audio band for a very large number of high-resolution recordings. Note that very few have noise at or below …

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Appendix 4: MQA Encoding those files

MQA is not a codec in the conventional sense. It takes account of the source (A/D and mastering) and playback (D/A converter). The conceptual target is analogue to analogue, with a temporal blur equivalent to a few meters of air and a noisefloor target of atmospheric ‘absolute zero’. [1] In the diagram, ‘Encapsulation’ includes deblurring. …

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