XAlignFft('FixedExpression','AlignExpression','Start','End','MinScale','MaxScale','ScaleStep','QualityParam')

Arguments

'FixedExpression'

Signal or expression that serves as a reference

'AlignExpression'

Signal or expression that is adjusted to the reference

'Start'

Beginning of the X-axis range relative to the zero point of 'FixedExpression'

'End'

End of the X-axis range

'MinScale'

Smallest x-scaling factor to be checked

'MaxScale'

Biggest x-scaling factor to be checked

'ScaleStep'

Step size for controlling the precision and speed of the algorithm

'QualityParam'

Quality criterion to determine the distance measurement between time series

Description

This functions align length based signals with the same physical significance that were measured at different points in the process.

Some parameters are described in more detail below.

'FixedExpression'

A thickness measurement being considered "fixed" in the course of an algorithm, i.e. not scalable or shiftable. This should be the thickness measurement containing the profile of the other measurement. (In the hot strip vs. cold strip comparison, this would be the hot strip.)

'AlignExpression'

The result of the alignment later refers to this thickness measurement. Thus, this measurement has to be scaled and shifted with the result values.

'Start'

The interval from 'Start' to 'End' indicates the X-intercept where the signal 'FixedExpression' can be moved. The zero here is the zero of the expression. Also negative values are permitted. If the measurement 'AlignExpression' is allowed to protrude 10 axis units on the left-hand side in the ibaAnalyzer compared to 'FixedExpression', then the following must apply: Start = -10 .

'End'

This parameter specifies the end of the interval just described. It is recommended to select this end dependent on the length of 'FixedExpression'. So, for example, End = XSize([FixedExpression]) or End = 1.2 * Xsize([FixedExpression]) if an surplus of 20 % is allowed.

'ScaleStep'

This parameter controls the ratio between precision and speed. The smaller the value, the slower and more reliable the algorithm works. The higher the value, the more the algorithm is accelerated by a heuristic. In case of too high values for 'ScaleStep', this can lead to a wrong result. For an optimal result, it is recommended to transfer the resolution of the measuring data. If, for example, the samples have a distance of 10 cm, then 'ScaleStep' = 0.1. If the calculation of results takes too long, the value can be increased.

'QualityParam'

The parameter defines the quality criterion used by the function (distance measure between time series). The default setting 0 represents for the Mean Squared Error (MSE), and 1 refers to the Gleichläufigkeit coefficient (GLC).