"Temporal Deblurring", Deconvolution and what MQA Might Be
Introduction
The application of deconvolution to signal processing dates back to work by MIT's Norbert Wiener during the Second World War.
https://en.wikipedia.org/wiki/Deconvolution
https://en.wikipedia.org/wiki/Wiener_series
Deconvolution is widely used to deblur signals in both the spatial and temporal domains. http://alumni.soe.ucsc.edu/~htakeda/VideoDeblurring/VideoDeblurring.htm
End to end deblurring of an audio signal can be performed by deconvoluting the signal with a measured deconvolution kernel, extending what is the same process as room correction to the entire audio signal chain.
Room correction corrects the spatial domain, and a similar deconvolution kernel can be applied to the temporal domain ... or simply use a multidimensional kernel.
MQA
The term "temporal deblurring" has been used as a feature of MQA which promises end to end improvement in sound.
http://www.audiostream.com/content/tidal-mqa-hi-res-streaming-2016#LQ64JOJH7MEAb3uS.97
http://www.theabsolutesound.com/articles/beyond-high-resolution/?page=2
It is certainly possible that the way MQA works is to apply a system wide deconvolution kernel to the music file.
I have no actual knowledge of the details of MQA ... at the time that I am writing this they have not been published, and for all I know never may be. Any relationship to what I am posting and MQA is pure speculation.
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