Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sun-barr!newstop!texsun!csccat!ncmicro!chris
From: chris@ncmicro.lonestar.org (Chris Arps)
Newsgroups: comp.dsp
Subject: Re: Creating Samples by stuffing & filtering
Keywords: smooth data weighted
Message-ID: <220@ncmicro.lonestar.org>
Date: 7 Nov 90 17:00:11 GMT
References: <16311@netcom.UUCP> <8563@pasteur.Berkeley.EDU>
Organization: NC Microproducts, Inc. Richardson, Tx
Lines: 17

I did some real-time data smoothing of an oil well tool that measured
resistance.  What we did was to place the samples into a queue that
was a nice number for a bell curve average.  We just used a simple arrray
that was either 9 or 27 elements long giving low and high amounts of 
smoothing.  The array was used as a queue by filling it up with the
first 9 data values, multiplying a pre-set array of bell curve values 
(which all add up to 1.0) to each value and adding to a result 
giving a weighted average value which is output to the strip recorder. 
When the next data word comes in, just move all the array elements upi
one postion in the array and add the new data sample to the end of the
array.  This algorithm works well and on machines with block memory move, 
the queue work fast enough for real-time computation.


I hope that this is good enough description of the algorithm.  It 
produced nice curves and can be extended as low as 3 elments or 
as high as you need.