In article
4989401.987.1316702605902.JavaMail.geo-discussion-forums@yqjw35,
adamdea
wrote:
On Thursday, 22 September 2011 13:18:19 UTC+1, Jim Lesurf wrote:
Which is your book which you refer to? I do have a copy of your
Information and Measurement (2nd ed), but could not see where this issue
is considered.
That is the book. It doesn't explicitly deal with the details of ringing.
But should be useful for the IT basics, and approachs the topic from the
kind of viewpoint I've been outlining. e.g. that defining how the stream of
samples was created matters and that what you see from reconstruction may
reflect that.
Also, if you have the 2nd edition (paperback) it may be useful to look at
page 257. The figure and surrounding discussion. This deals with
interferometry and imposed coherence. But it has underpinning similarities
to the relationship between time and frequency responses in systems like
the audio ones we are discussing.
Note that a wideband signal and system generates an interferogram
(equivalent to an impulse response) that is like a spike of a given
scale width. The wider the bandwidth, the narrower this peak. It is
actually just another manifestation of the same basic signal theory.
And the response depends on all the items in the 'signal chain' inc
how the input was generated. Note also that no sampling need be
involved. This isn't only a 'digital sampling' behaviour. It is
far more general.
I am tempted to say that i had not found this book
intimidatingly difficult (although I have not read it all from cover the
cover yet), but I suspect that if i did so I would receive the reply
that I had plainly not understood a word.
I'm happy to accept that anyone who buys my books must be very perceptive
and have good taste. :-)
Just holding onto the point that "The problem in analysing the effect
of a filter (or the filter chain) seems to be in working out which part
of the wiggling simply represents the reconstruction of signal between
sample values and which bit represents an artifact not in the signal."
...and returning to reference to
http://www.cirlinca.com/include/aes97ny.pdf the reference in that
article to energy dispersion of the transient response (energy against
time) is somewhat misleading as an indicator of "time smear" because it
does not represent the time smear as such but the energy of the impulse
response wiggle some of which *might* be time smear.
At least this would be the case if we were looking at the impulse
response of the reconstruction filter.
Again, I'd be wary of terms like "time smear" because the definition the
writer/speaker uses may not be exactly in line with the definitions used by
others.
But the basic point is the the scale-size of the 'width' (in time) of the
filter's impulse response is inversely proportional to the bandwidth of the
filter. Note that this isn't the HF cutoff, but the bandwith. Although for
a LPF the two values are essentially the same. The *shape* of the impulse
response depends on the details of the filter's frequency response (inc
phase effects). But the time-width scales with the bandwidth. They are two
sides of the same coin in signal theory terms.
Can I just clarify- are you saying that one equally can't deduce the
extent to which wiggling in an anti alias filter's impulse response
would represent time smear because there is no defined pre AA filter
signal which that impulse might represent and the result would vary
within the set of signals which that impulse might represent to yield a
range from 0-100% of the wiggling.
Not quite. I'm saying that the impulse response as normally measured for
tests on DACs takes a specific input - usually one non-zero sample value
with all pre and post samples zero. But you would need to examine the
*recording* system to determine what would cause *that* to produce such a
series of sample values. So lacking that knowlege, you can only make
assumptions about how close the 'output' looks like what was recorded.
However *if* you *know* the recordings was made with a perfect sinc filter
that suits Nyquist, you can say that such an output matches what the
recording defined.
The main snag is that you may not know this, and the details may vary from
one recording to another.
The minor snag is that no practical filer can truly give you a perfect
filter of this type since it requires an infinite scope in time! :-)
A sinc function has 'wiggles' all the way to +/- infinite time. So you
can't have such a filter in reality unless you started the recording at the
Big Bang and are willing to wait until Heat Death to form your conclusions.
:-)
So in reality all the FIR filters that are said to be 'sinc like' use a
time-limited impulse response as the basis of the filter. That alters the
behaviour. This means the 'wiggles' do fall to nothing beyond a finite
range only because/when the real filters are *not* 'perfect' in theory.
Again, engineering just works on doing what seems 'good enough' for the
task in hand. But anyone can argue about where that boundary sits.
Slainte,
Jim
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