Ramp
Advanced Analysis Library Only
AnalysisLibErrType Ramp (ssize_t numberOfElements, double initialValue, double finalValue, double ramp[]);
Purpose
Generates an output array that represents a ramp pattern. Ramp obtains the ith element of the output array using the formula:
rampi = initial + iΔx where 
Setting the final value less than the initial value generates a negatively sloped ramp pattern.
Example Code
/* The following code generates the pattern {-5.0, -4.0, -3.0, -2.0, -1.0,
0.0, 1.0, 2.0, 3.0, 4.0, 5.0}. */
double rampvals[11], first, last;
int n;
n = 11;
first = -5.0;
last = 5.0;
Ramp (n, first, last, rampvals);
Parameters
| Input | ||
| Name | Type | Description |
| numberOfElements | ssize_t | Number of elements to generate in the ramp pattern. |
| initialValue | double | Base value of the ramp pattern to generate. Default Value: 0.0. |
| finalValue | double | Final value of the ramp pattern to generate. If finalValue is greater than initialValue, Ramp generates a positively sloped ramp. To generate a negatively sloped ramp pattern, set finalValue less than initialValue. Default Value: 1.0. |
| Output | ||
| Name | Type | Description |
| ramp | double [] | Generated ramp pattern. |
Return Value
| Name | Type | Description |
| status | AnalysisLibErrType | A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants. |
Additional Information
Library: Advanced Analysis Library
Include file: analysis.h
LabWindows/CVI compatibility: LabWindows/CVI 3.1 and later
Examples
Refer to the following examples that use the Ramp function:
- analysis\narrowbandfilter.cws
Open example - analysis\polyfit1.cws
Open example - analysis\pulse.cws
Open example