Cleverscope CS300 Reference Manual v2.11
Page 128 www.cleverscope.com ©Cleverscope 2004-2015
X:Y Pwr Watts
X:Y Pwr VA
X:Y Pwr VAR
X:Y X leads Y?
X:Y Seq Intgrl
Seq Time Diff
Returns the Real Power, in watts, assuming X is current and Y is voltage.
Returns the Apparent Power, in VA, assuming X is current and Y is voltage.
Returns the Reactive Power, in VAR, assuming X is current and Y is voltage.
Returns 1 if X leads Y in phase, otherwise 0.
Maintains the time integral over sequential captures. Calculates: New Integral = Old Integral
+ Sample average value * (tn - tn-1)
Where tn is the current trigger time and tn-1 is the previous trigger time.
All sample in Y must be <=0 to run the integral. If any samples are >0 then the integral is
reset.
You can have one separate integral per equation line.
Returns the time difference between the current trigger time, and the previous trigger time,
with 10ns resolution.
X:Y Interleave
X:Y Sig Gen
X:Y Autosave
X:Y Correlate
Interleaves X then Y then Y to return one sample set of twice the sample rate and twice as
many samples.
Sets the signal generator. X is the output value. Y sets the function:
0 = no action, 1 = frequency, 2 = amplitude, 3 = DC offset, 4 = waveform type, 5 = sweep
on/off.
Values (X) are in: Hz (Frequency); V (amplitude); V (offset);
Waveform type: 0=sine, 1 = triangle, 2 = square, 3 = DC, 4 = Off ; Sweep: 0 = sweep off,
1=on.
If any samples in X>0, save a graph using Autosave (which needs to have been previously
setup).
Y selects which graph is autosaved:
0 means current display, 1 = Scope Display, 2 = Spectrum Display, 3= Tracking Display, 4 =
Maths Display.
Returns the correlation between X and Y, as a half-length data set.
X:Y Matlab CS1
CS2 .. CS3..
X:Y Matlab CS4
Sum
Difference
Count
Send the signals defined by X:Y to Matlab execution function Cscope1.m ... Cscope4.m.
Returned results are sent to destination.
Returns the running sum for the input samples set. Sample n = Previous Sum + Sample n.
Previous Sum = 0 for n = 0.
Useful for averaging, integration and noise density accumulation.
Returns the running difference for the input samples set. Sample n = Previous Sum - Sample
n. Previous Sum = 0 for n = 0.
Finds positive going edges, with +50mV up threshold and +10mV down threshold. This
hysteresis helps with noise reduction.
Increments count on every edge. Count is at 0 at start of frame. Use Markers to calculate the
count of a portion of the input signal. Invert the signal and offset for negative edge.
Where you see X:Y, X is replaced by an equation before the colon, and Y is replaced by an equation after the
colon.
Examples:
4*sin(a):i1, 2:(a*d)/3, a:1, 1:c
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