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Travis M. Best
12-14-2009, 03:33 AM
Is their a easy way to average 100+ samples from a A/D Converter without having a ton a variables???

Thanks
Travis Best

MacGeek117
12-14-2009, 03:48 AM
MacGeek117

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Leon
12-14-2009, 03:49 AM
For each 100 samples, zero the variable, add each sample to it, then divide by 100. 128 would be easier, as you can use the barrel shifter to divide by 128 in one operation.

Leon

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Tubular
12-14-2009, 03:54 AM
The proper way is to have a circular buffer 100 samples long. Actually 128 samples to make dividing easier. You keep a total of the sum of the 100 samples. When a new sample comes along you subtract the oldest (100 samples ago) and add the new value.

An alternative is to use something along the lines of this algorithm which works ok when there isn't large noise
AverageVal = AverageVal + (NewSample-AverageVal) / 128
effectively each above/below average new sample increases/decreases the long term average by a smidge. You need to either use floating point or shift up AverageVal a few digits (like a fixed decimal point)

BR
12-14-2009, 06:33 AM
Sounds like a job for a moving average filter:

pub ma16(x_meas):x_ret
''16-sample moving average filter, implemented with recursion.
''Max filter update rate ~13000 samples/sec for 1 cog @ clkfreq=80

ptr &= %00001111 'mask off all but lower four bits
sum := sum + x_meas - x_buf16[ptr]
x_buf16[ptr] := x_meas
x_ret := sum ~> 4 'divide sum by 16
ptr++
dat
'-----------[ Predefined variables and constants ]-----------------------------
x_buf16 long 0,0,0,0,0,0,0,0 '16-place filter input history buffer
long 0,0,0,0,0,0,0,0
sum long 0
ptr long 0 'pointer (set up as ring buffer)

This particular example is for a 16 element moving average, but you could easily make it into a 128 point moving average by changing the buffer size, the mask, and and the shift arithmetic right. There are a variety of additional filter examples in this thread (http://forums.parallax.com/showthread.php?p=861859).

Post Edited (BR) : 12/13/2009 11:38:26 PM GMT