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<blockquote data-quote="Frank Koenig" data-source="post: 125099" data-attributes="member: 416">Re: My Current SH46 SettingsGood question. When I started doing this I intended to do all&nbsp; minimum-phase correction using the built-in IIR (peaking, shelving)&nbsp; filters in the DSP. I put a lot of effort into automatically fitting&nbsp; filters to a desired response and eventually decided I couldn&#039;t do any&nbsp; better than just loading a &quot;curve&quot; (overlay) into Armonia and tracing it&nbsp; by hand. This works fine but takes a lot of effort to redo after and&nbsp; update of the measurements or their processing (averaging, smoothing).&nbsp; So I thought there&#039;s no law against implementing minimum phase filters&nbsp; as FIR, and it&#039;s relatively easy to automate, so let&#039;s try it.&nbsp; Furthermore, the impulse response of the minimum-phase correction has&nbsp; all its energy &quot;up front&quot;, so it does not increase processing delay.&nbsp; Given a sufficiently long filter it takes the fitting parameters out of&nbsp; the process, leaving just the smoothing and averaging to worry about.&nbsp; (And more smoothing lets you use a shorter filter.) I&#039;m hoping that&nbsp; fewer parameters makes it easier to figure out what&#039;s perceptually&nbsp; important. So that&#039;s how I got here. I think I&#039;ll take a break from&nbsp; coding and do some more measuring and listening and looking at graphs&nbsp; before deciding what direction to go next. All suggestions are welcome.--Frank</blockquote>

[QUOTE="Frank Koenig, post: 125099, member: 416"] Re: My Current SH46 Settings Good question. When I started doing this I intended to do all minimum-phase correction using the built-in IIR (peaking, shelving) filters in the DSP. I put a lot of effort into automatically fitting filters to a desired response and eventually decided I couldn't do any better than just loading a "curve" (overlay) into Armonia and tracing it by hand. This works fine but takes a lot of effort to redo after and update of the measurements or their processing (averaging, smoothing). So I thought there's no law against implementing minimum phase filters as FIR, and it's relatively easy to automate, so let's try it. Furthermore, the impulse response of the minimum-phase correction has all its energy "up front", so it does not increase processing delay. Given a sufficiently long filter it takes the fitting parameters out of the process, leaving just the smoothing and averaging to worry about. (And more smoothing lets you use a shorter filter.) I'm hoping that fewer parameters makes it easier to figure out what's perceptually important. So that's how I got here. I think I'll take a break from coding and do some more measuring and listening and looking at graphs before deciding what direction to go next. All suggestions are welcome. --Frank [/QUOTE]

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