I tried changing the block size from 8 samples to 4 samples. The fit is 
now closer, yet the overshoots and undershoots are more extreme.

I also tried changing it to 2 samples, but then the whole thing just 
malfunctions horribly.

Just for fun, I also tried 16 samples per block. This also produces a 
"reasonable" fit, though not as good as 8 or 4.

So it seems that smaller block sizes produce a better fit [yet with less 
compression]. No real surprises there then.

I'm now going to experiment with different similarity metrics, to see 
what difference that makes...

-- 
http://blog.orphi.me.uk/
http://www.zazzle.com/MathematicalOrchid*

Post a reply to this message