Burst Response! HD800, SR-207, HD650

Looks like the results nailed it. Seems the sample rate conversions in Octave might have been mucking things up a bit with the earlier set (as you mentioned, there was a time shift which was pretty obvious, and decimation was probably not the way to go). The potentially great thing about this is that existing the IR sets can be used to process tones to create other visualizations! Now whether these visualizations would mean anything is another matter.

 

I understand the aversion. When dealing with marketing and management this can be frustrating. IMO this is not new. I can only imagine how things would go down when having a discussion with a king or queen who fancies himself or herself god-like. None of that here.

I do understand what you are saying, and I will try to avoid using "maybe" as a qualifier for something that I know is a definition.

 

OK, so enough of this the nonsense in the past few days. I was working on this a a few months ago but had to stop because other things came up. This is the kind of stuff I am most interested in. New ways of seeing information. These are 1kHz bursts responses calculcated from the headphone impulse responses. Based on what was discussed in this thread, and @ultrabike's simulations in that super-math software package being very close to measured reality burst responses, I figured I would explore this further. So I wrote an IR convolution routine for the existing data sets.

Again, these are 1kHz bursts, a succession of three sine waves, plotting the absolute number value to create a better visualization (so we don't have to look at top peaks and bottom peaks). One thing I have not done is write a routine to normalize the values to the same level, but this should be easy. I just wanted to show you guys how I think and what I've been doing. Do I think there is some correlation from these plots to how we hear transients on these headphones? Yes, quite a high correlation in fact. Just something to chew on.

 

It's just a three burst sine wave at 1kHz. LOL, I never thought ot superimposing. Great idea! Whipped up some code. The original waveform is in blue.



Let's play a guessing game. Two expensive headphones from major well known manufacturers. One is very dynamic sounding headphone with fast transient response that takes off and stops on a dime. The other is a slower more romantic sounding headphone that also has some balls. Which is which? What are the headphones? Both are traditional dynamic driver headphones.

For the STEM guys, I made sure the convolution started at exactly two samples before the peak. In any event, shifting the start of the processing window to a later sample in the IR ruins the shape output (for obvious reasons if we think about it).

 

They are sine waves run through an ABS function.

 

CORRECTION: Bottom on is Focal Utopia. Top is Sony Z1R.

 

Hey, I don't either! We learn by looking at a lot of plots and see if any patterns correlate to what we hear. We do not measure for the sake of measuring!

 

Doh. Reversed order! I just corrected the post. (It was a test to see if you were paying attention!)

 

Yup

Depends upon the planar. Will do on < 100Hz, which will have higher resolution results. I didn't want to write a sinc interpolation function yet for the 1kHz and higher frequencies.