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<blockquote data-quote="Mark DeArman" data-source="post: 42322" data-attributes="member: 950">Re: First post for meWell it depends on what you mean by measure.&nbsp; There are a few low resolution techniques.&nbsp; Time frequency distributions; Spectrogram, Wigner-Ville, and other Cohen Class ones.&nbsp; There are the &quot;energy time&quot; plots which are related in a way, there are a couple of papers on AES proving this.&nbsp; There are a number of other more modern methods published in IEEE Instrumentation and Measurement.&nbsp; Also related there is Hilbert Decomposition which you could infer a lot of information from about how various frequency would spread in time given the right stimulus.&nbsp; I took some McCauley M421 sub woofers out to our local airport and setup a number of configurations on a turntable and tried a few different methods.&nbsp; The best is Hilbert Value Decomposition for &quot;FFT style&quot; clarity.&nbsp; I made a quite memory intensive Time frequency 3-d plot which showed quite a bit of detail but it took like 40gb of RAM to run.&nbsp; Not sure if anything was really gained from any of this at all.&nbsp; But if you had enough time...</blockquote>

[QUOTE="Mark DeArman, post: 42322, member: 950"] Re: First post for me Well it depends on what you mean by measure. There are a few low resolution techniques. Time frequency distributions; Spectrogram, Wigner-Ville, and other Cohen Class ones. There are the "energy time" plots which are related in a way, there are a couple of papers on AES proving this. There are a number of other more modern methods published in IEEE Instrumentation and Measurement. Also related there is Hilbert Decomposition which you could infer a lot of information from about how various frequency would spread in time given the right stimulus. I took some McCauley M421 sub woofers out to our local airport and setup a number of configurations on a turntable and tried a few different methods. The best is Hilbert Value Decomposition for "FFT style" clarity. I made a quite memory intensive Time frequency 3-d plot which showed quite a bit of detail but it took like 40gb of RAM to run. Not sure if anything was really gained from any of this at all. But if you had enough time... [/QUOTE]

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