> michael brown wrote:
> >[In reply to my [MV's] evidently less-than-useful reply to his
> >  question about low-pass filtering]
> >
> >Thanks for the reply.  It reinforces what I already understand about
> >filtering electrical or electro-magnetic "waves".  I am looking for th=
e
> >definition as it applies to EE and sampled data.
>
> One simple approach to digital low-pass filtering is just to do a
> windowed average. That is, if you have a sequence of measurements
> (samples) of a signal, then you average together every N of them
> (like every pair, or every 10, or every 10000, as appropriate). In
> this way, you average out the high-frequency "wiggles" and get just
> the lower-frequency variations in the signal. By "average" I mean
> exactly what you think I mean: add them up and divide by the number N.

So basically, it means to use quality sampling instead of quantity sampli=
ng.
Just pick an arbitrary pattern (that hopefully doesn't synchronize or bea=
t
with your samples) and smart-sample=AE your way to success.  ;-)

> >Also I hear/see the term
> >"integrate" and am not completely clear as to what this means in the
> >context
> >of EE and data samples.
>
> "Integrate" in the case of discrete samples just means "add 'em up".
> Same as the averaging technique I mentioned above.

That's simple enough for my pea-brain.  ;-) Why don't they just say that?=
??
I'd learn this stuff faster if it wasn't for the language barrier.  ;-D

> Michael V (still trying to be helpful...)

You were, thanks.  ;-)

michael brown (not a linguist)

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