Measurement Computing DASYLab User Manual - Manual (Page 65)

DASYLab
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trigonometric functions for data channels and the Differentiation/
Integration module differentiates or integrates data channels.
To scale data channels you can use various modules: linear scaling, scaling
with table of reference points, thermocouple linearization, PT100/NI100
linearization, and offset adjustment.
The Comparator module compares one channel with a constant or two
channels with each other and outputs a TTL level if the values are similar,
equal, or greater. The Logical Operations module links TTL signals to each
other. The Flip Flop module provides the functionality of various flip flops
(D-Flip Flop, JK-Flip Flop, RS-Flip Flop, and Monoflop).
The Bit Mask module converts measurement values into binary numbers in
order to shift bits or to combine bits and to output the new values. The Gray
Code module uses the gray code to decode the angle encoder signals.
Use the Slope Limitation module, for example, to cut off peaks in a data
channel caused by outliers. The Reference Curve module calculates a
tolerance range for data channels and saves the mean values and the values
of the maximum and minimum curve in a file that the statistics module
Check Reference Curve and the display module Chart Recorder use.
The Statistics Modules Group
The statistics modules group contains modules for the statistical evaluation
of data channels.
The Statistical Values module calculates characteristic values for each data
block, such as the standard deviation, the variance, the mean value, the
minimum value, and the maximum value. To recognize and to output extreme
values in data blocks use the Minimum/Maximum module which, unlike
the Statistical Values module, can determine several extreme values in one
data block.
The Regression module calculates polynomials for approximation curves for
the incoming data. The Counter module counts data and events, such as
extreme values or level crossings, and rising or falling edges. The Sort
Channels module sorts values in data channels in ascending or descending
order. The Select Values module filters out single values based on their
position in the data block.