9 thoughts on “Meridian’s MQA: Swapping Rectangles for Triangles

  • Édouard Trépanier

    I am not sure I understand the technique, but from a conceptual point of view: if the studio people (sound engineers, producers and master engineers) accept to encode future recordings for the clientele that possess an MQA decoder (which I suppose is a software with perhaps a special chip), this may convince someone to encode music dynamics as well. The listener equipped with this different decoder could then restitute pre-programmed levels of audio dynamics, more suited for audiophiles or music lovers. Would this be a logical next step?

    • I believe MQA technology will focus on the vast catalogs of analog tape masters that are slowly making their way into high-resolution formats. I doubt that new productions will use MQA as a studio tool.

      • ‘Analog tape masters….into high resolution formats’.
        I don’t quite get that.
        First they blow up the analog quality to 24/192, and then they use a new technology (MQA) to shrink these big files in order to make smaller files for streaming.
        Why not just stick to CD quality or lossless (16/44.1) downloads/streaming for these ‘old productions’?
        Their concern should rather be how to avoid mastering disasters – or how to make ‘new productions’ in high resolution quality.

        • Admin

          Very good points! According to my own research and the advice of people who’s opinions I respect…96 kHz/24-bits is completely sufficient to get all of the fidelity from analog tape and new recordings.

  • Christopher

    Interesting. Data storage has become far less of a problem for me lately when it comes to storing HD Audio, so decreasing the file-size is a non-issue for me. However, it would be fantastic to be able to stream my HD Audio collection over the internet making my collection more accessible. Very cool 🙂

    • It’s the streaming part of this that might be very interesting.

  • Scott Wurcer

    Your analogy is lost on me. Quantization of a signal is a time domain process not a frequency domain one. An A/D does not have high frequency “bins” that are left empty. Taking the triangle analogy to the limit you’ve got about half your space left, i.e. 2X.

    Anyone that claims lossless compression below the Shannon entropy limit is essentially claiming perpetual motion.

    • Quantization error is an amplitude error. The fact that there is a lot less energy applied to very high frequencies provides an opportunity to reduce the amount of data required to properly encode it. I’m reporting on the technical paper that Robert Stuart presented at the AES conference last fall.


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