Hi,

> Thanks for the reply.  It reinforces what I already understand about
> filtering electrical or electro-magnetic "waves".  I am looking for the
> definition as it applies to EE and sampled data.  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.  I hear these terms being used frequently, but
I've
> never taken any EE type classes, so I'm not sure what it means.  Never
took
> a calculus class either.

    There are many ways to describe a low pass filter, let's see if I can
make it without the math...

    Imagine a wide water tube that is connected to a swimming poll by a
narrow tube. The water level on the wide tube will follow the poll level but
will be much less "wavy" than the pool. That is a low pass filter for water
level, the wide tube does the function of the capacitor and the narrow tube
is the resistor.

    On the algorithm side... If you take 8 samples of a signal and average
them to decide what the 9'nth sample will be and keep doing that with the
last 8 samples all the time you have a low pass filter also, you will
minimize the effect of fast varying signals in your sample window. Finite
impulse response filters, very used in DSP's, are almost impossible to
describe without the math :-( Imagine that a low pass filter is always
something that "smooths" the signals.

    Hope this helps...

best regards,
Alexandre Guimaraes

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